Category Archives: Artificial Intelligence

Top 10 AI Events for Government in 2026 

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Artificial intelligence (AI) has evolved from experimental technology into a mission-critical capability for Government agencies at all levels. From enhancing cybersecurity operations and streamlining citizen services to enabling predictive analytics and advancing national security objectives, AI is fundamentally reshaping how the Public Sector delivers on its mission. As agencies accelerate AI adoption, understanding the latest developments, best practices and ethical frameworks is essential. Carahsoft Technology Corp., The Trusted Government IT Solutions Provider®, brings deep expertise in AI solutions for the Public Sector, connecting agencies with leading technology providers and proven implementation strategies. Throughout 2026, Carahsoft and our partners will participate in premier AI events designed to help Government professionals navigate the complexities of AI adoption, explore cutting-edge solutions and connect with experts shaping the future of AI. 

Meet the Chiefs: Chief Artificial Intelligence 

February 12, 2026 | Washington, D.C. | In-Person Event 

During this Meet the Chiefs discussion, NextGov/FCW will examine how Chief Artificial Intelligence Officers (CAIOs) are putting national AI priorities into action across Government agencies. Speakers will explore how recent policies are shaping governance models, workforce strategies and industry collaboration as AI becomes more deeply embedded in Government operations. The conversation will address the critical balance between innovation and risk management, examining the infrastructure needed to support AI at scale and the trust-building efforts essential for successful AI adoption. Attendees will gain insights into how agencies are translating high-level AI directives into operational reality, with particular focus on data and compute infrastructure requirements for AI at scale. 

Session to look out for: 

  • Laying the Groundwork: Data and Compute Infrastructure for AI at Scale 

Carahsoft partner Oracle is the exclusive underwriter for this event, demonstrating the critical role that enterprise AI infrastructure plays in enabling Government AI initiatives. Oracle provides the foundational data platforms, cloud infrastructure and AI services that empower Federal agencies to deploy AI at scale while maintaining security, compliance and data sovereignty. Carahsoft’s partnership with Oracle ensures Government agencies have streamlined access to the enterprise AI capabilities discussed at this event, from autonomous databases that power AI workloads to sovereign AI infrastructure designed specifically for Public Sector requirements. 

2026 Defense IT Summit 

February 26, 2026 | Arlington, VA | In-Person Event 

The Defense IT Summit brings together senior IT leaders to examine how emerging technologies and strategies are advancing mission readiness across the Department of War (DoW). Senior officials will highlight defense priorities in AI, acquisition, cybersecurity and risk management, with particular focus on accelerating technology delivery at the speed of mission. The summit addresses the critical challenge of translating AI innovation into operational capability, exploring how the DoW is transforming acquisition processes, integrating AI into warfighting systems and building the infrastructure needed to support AI-enabled decision-making.  

Session to look out for: 

  • AI Transforming Future Warfighting and The Future of Defense Acquisition 

Carahsoft is a proud partner of GovCIO and is excited to support their 2026 Defense IT Summit, bringing together our extensive portfolio of AI and defense IT solutions tailored to DoW requirements. Our partnership with GovCIO enables us to showcase how leading AI providers are addressing the unique challenges of defense IT modernization, from secure AI development environments to edge AI capabilities for tactical operations. Carahsoft’s presence at this summit ensures defense IT leaders have direct access to the solution providers who understand DoW’s specific security requirements, acquisition processes and the urgency of deploying AI capabilities that enhance warfighter advantage. 

Google Public Sector Applied Government Geo & AI Summit 

February 24, 2026 | Reston, VA | In-Person Event 

The Applied Government Geo & AI Summit brings together Government leaders, technologists and innovators to explore how AI, geospatial data and advanced engineering tools are reshaping Public Sector operations. Hosted by Woolpert Digital Innovations, Google Public Sector and Carahsoft, this summit examines the powerful convergence of AI and geospatial intelligence, from automated image analysis and change detection to predictive modeling for infrastructure planning and emergency response. Attendees will learn how agencies are utilizing AI-powered geospatial capabilities to enhance various aspects, including defense operations, border security, urban planning and environmental monitoring. 

Session to look out for: 

  • AI and Geospatial Data Transformations and AI in Defense, Infrastructure, and Data Management 

Carahsoft is proud to co-host this event alongside Google Public Sector and Woolpert Digital Innovations, demonstrating our commitment to advancing the intersection of AI and geospatial technologies for Government missions. As a leading distributor of Google Cloud solutions to the Public Sector, Carahsoft ensures agencies can access the powerful combination of Google’s AI and machine learning (ML) capabilities with advanced geospatial analytics platforms.  

Warfighter AI Innovation Summit 

March 12, 2026 | Reston, VA | In-Person Event 

The Warfighter AI Innovation Summit focuses on cutting-edge AI technologies that enhance forward-deployed warfighter capabilities. This specialized event brings together warfighters with senior leaders, innovators and industry experts, focusing on data fusion, sensors and creating subject matter expert applications across forward-deployed use cases. Designed to foster collaboration across Government, military and industry, this summit equips participants with actionable insights to accelerate AI adoption and translate innovation into operational impact. Sessions will explore AI success on the front lines and how to use AI to achieve operational advantage and battlefield dominance, addressing the unique challenges of deploying AI in contested, disconnected environments. 

Session to look out for: 

  • AI Success on the Front Line and Using AI to Achieve Operational Advantage and Battlefield Dominance 

Carahsoft is a proud partner of Federal AI Accelerator.  Our partnership enables us to connect warfighters and defense decision-makers with specialized AI technologies designed for tactical edge operations, from computer vision for threat detection to AI-powered Command and Control (C2) systems. Carahsoft understands that successful warfighter AI requires not just cutting-edge algorithms, but solutions engineered for the reliability, speed and security demands of combat operations, along with acquisition pathways that can deliver these capabilities at the pace of operational need. 

NVIDIA GTC 2026 

March 16-19, 2026 | San Jose, CA | Hybrid Event 

NVIDIA GTC is the premier global AI conference, where developers, researchers and business leaders come together to explore the next wave of AI innovation. From physical AI and AI factories to agentic AI and inference, GTC 2026 will showcase the breakthroughs shaping every industry, including Government and defense. The conference takes place across venues throughout downtown San Jose, featuring hundreds of technical sessions exploring everything from AI infrastructure and accelerated computing to real-world AI deployments. Government attendees will discover how agencies worldwide are leveraging NVIDIA’s AI platforms to power everything from scientific research and weather prediction to autonomous systems and intelligence analysis. 

Sessions to look out for: 

  • AI Talks and Panels 
  • Jensen Huang’s Keynote Address 
  • Developer Days and Hackathons 

Carahsoft is the exclusive host of the Public Sector Reception at GTC on Tuesday, March 17 (tentative), providing Government attendees with a dedicated networking venue designed specifically for Public Sector professionals to connect with peers and solution providers focused on Government AI challenges. Carahsoft is also an exhibitor sponsor of NVIDIA GTC 2026. We encourage you to stop by our booth to learn about AI capabilities within Government and discover how our partnership ecosystem is supporting agencies with NVIDIA-powered solutions.  

2026 Artificial Intelligence Summit 

March 19, 2026 | Location To Be Announced | In-Person Event 

According to AI experts, we are currently experiencing the largest and fastest-moving surge of AI development in history, with more progress occurring in days and months than was achieved over decades in previous AI waves. This sixth annual AI Summit from Potomac Officers Club brings together top voices from Federal agencies, DoW components and the Government contracting industry to discuss strategies, plans and exciting use cases for how AI, ML and automation are transforming Government operations. The age of AI being merely theoretical is over. This summit features real practitioners sharing how they are deploying AI at scale. Don’t miss keynote speaker Jay Meil, the VP of Artificial Intelligence and Data Analytics and Chief Data Scientist at SAIC, along with other senior Government and industry AI leaders. 

Carahsoft was proud to be a gold sponsor of the 2025 Artificial Intelligence Summit, along with our partners EmpowerAI, Primer, Oracle, Coursera and Percipient.AI and we look forward to continuing our support of this premier Government AI gathering in 2026. Carahsoft is committed to ensuring that Government decision-makers have direct access to the comprehensive AI solutions portfolio that Carahsoft brings to market, from AI development platforms and MLOps tools to AI governance frameworks and specialized AI applications designed for Public Sector missions. 

AITALKS 2026 

April 14, 2026 | Washington, D.C. | In-Person Event 

With the mainstream arrival of large-language, generative AI models, AI has emerged as a top priority for driving economic prosperity and boosting Government efficiency and mission effectiveness. AITalks is where top Government leaders, tech innovators and industry experts converge to explore the transformative potential of AI in the Public Sector, particularly as new priorities establish the nation’s AI vision and direction. With AI set to revolutionize Government operations, the nation is at a critical juncture where it is competing to set the tone for global AI leadership.  

Session to look out for: 

  • Going All In on AI-Powered Government and Advancing AI on the Frontlines 

Carahsoft partner Microsoft is a Diamond sponsor at the 2026 AITALKS, reflecting Microsoft’s leadership position in enterprise AI and their commitment to helping Government harness AI capabilities through Azure AI, Microsoft 365 Copilot and industry-specific AI solutions. Previous AITALKS sponsors have included Salesforce, AWS, Elastic, Broadcom, Cloudflare, IBM, Red Hat, Seekr and Nutanix/Pryon, a roster that demonstrates the breadth of Carahsoft’s AI partner ecosystem. As a key partner to many of these leading AI providers, Carahsoft ensures Government attendees can explore the full range of AI solutions available through our contracts, from foundational AI infrastructure to specialized applications addressing specific Public Sector use cases. 

SANS AI Cybersecurity Summit 2026 

April 20-27, 2026 | Arlington, VA | Hybrid Event 

The AI Cybersecurity Summit brings together the most critical aspects of AI in cybersecurity, from leveraging AI to strengthen defenses to protecting against sophisticated AI-powered attacks that are already reshaping the threat landscape. This unique event addresses both offensive and defensive dimensions of AI in cybersecurity, exploring how agencies can use AI to enhance threat detection, automate incident response and improve security operations while simultaneously defending against adversaries who are weaponizing AI for attacks. Attendees will connect with cybersecurity professionals, AI/ML experts and thought leaders to exchange insights and advance AI-powered cybersecurity solutions.  

Session to look out for: 

  • AI Governance and Risk, Offensive AI Adversary Tradecraft, and Protecting AI Architectures 

Carahsoft partner Microsoft is a sponsor of this critical event in the AI and cybersecurity space, bringing its extensive experience in AI security through Microsoft Defender, Azure AI security capabilities and its responsible AI frameworks. The convergence of AI and cybersecurity represents one of the most pressing challenges facing Government agencies today. Organizations must simultaneously adopt AI to enhance their security posture while defending their own AI systems from attack and ensuring AI is deployed responsibly. Carahsoft’s partnership with Microsoft and other leading cybersecurity and AI providers positions us to guide agencies through this complex landscape, offering integrated solutions that address both AI-enhanced security operations and the security of AI systems themselves. 

GEOINT 2026 

May 3-6, 2026 | Aurora, CO | In-Person Event 

Explore the intersection of technology and security as the geospatial intelligence community (IC) addresses challenges and opportunities in today’s complex geopolitical landscape. From land to sea and cyberspace to outer space, GEOINT’s impact is felt across every dimension and domain. Attendees will engage with industry experts, Government leaders and innovators to discover how geospatial intelligence is shaping a safer world for tomorrow. With AI and ML now central to modern GEOINT capabilities, this year’s symposium places special emphasis on GeoAI, spotlighting current innovations and future opportunities in AI and ML applied to geospatial data, from automated change detection and object recognition to predictive analytics for strategic planning. 

Carahsoft is a proud annual sponsor of the GEOINT Symposium and will have a large presence on the tradeshow floor, ensuring maximum visibility throughout this premier geospatial intelligence event. This year, we have also partnered with NVIDIA to host the exhibit hall Scaling AI Stage, a dedicated venue for exploring how Graphics Processing Unit (GPU)-accelerated computing and AI platforms are transforming geospatial intelligence processing, enabling real-time analysis of massive imagery datasets and sophisticated AI models for intelligence applications.  

AI for Government Summit 

May 19, 2026 | Reston, VA | In-Person Event 

Carahsoft is excited to announce our 3rd Annual Artificial Intelligence for Government Summit. Join Federal, State and Local Government leaders, practitioners and industry experts to explore how AI is transforming missions, services and infrastructure across the Public Sector. From copilots that streamline daily workflows to advanced cybersecurity, responsible AI frameworks and next-generation data strategies, this summit shows practical solutions aligned with the latest administrative orders and policy guidance. Attendees will gain insights from Government decision-makers, engage with hands-on training from leading AI companies and leave with actionable strategies to accelerate innovation while building trust and security in AI adoption.  

Session to look out for: 

  • Advanced Reasoning in the Age of Agentic AI and Innovation and Workforce in the AI Era 

Carahsoft is the proud host of the AI for Government Summit, our flagship AI event designed specifically for the unique needs and challenges of Public Sector AI adoption. This year’s sponsors include AWS, Broadcom, Dell, Intel, NVIDIA, OpenAI, Palo Alto Networks, Salesforce and many others. As both the host and convener of this summit, Carahsoft curates an agenda that directly addresses the most pressing questions facing Government AI practitioners: how to move from pilot to production, how to ensure responsible and ethical AI deployment, how to build the data infrastructure and workforce capabilities needed for AI success and how to navigate the complex landscape of AI regulations and policies while maintaining the agility to innovate at mission speed. 

Federal AI Forum 

August 13, 2026 | Reston, VA | In-Person Event 

The Federal AI Forum dives into the next frontier of AI: agentic AI. Experts from across Government, academia and industry will discuss how autonomous agents and copilots are reshaping workflows and policy in the Public Sector. This forum offers a forward-looking conversation about critical issues in responsible adoption, architecture and practical implementation of agentic AI systems in Federal missions. As AI systems evolve from tools that assist human decision-making to autonomous agents capable of multi-step reasoning and independent action, Government agencies face new questions about governance, accountability and security.  

Session to look out for:  

  • Agentic AI Use Cases and Data Security and Accountability 

Carahsoft is proud to be the Anchor Sponsor of the 2026 Federal AI Forum, to help Government agencies navigate the emerging landscape of agentic AI and autonomous systems. This year’s sponsors include Box, ServiceNow, Granicus, Seekr, Latent AI, Stryk.AI and others, partners who are pioneering the development of agentic AI capabilities specifically designed for Government use cases. 

As AI continues to mature from emerging technology into essential infrastructure, Government agencies face both unprecedented opportunities and complex challenges. The events highlighted above represent the best venues for Government professionals to gain practical knowledge, connect with proven solution providers and learn from peers who have successfully navigated AI implementation. Whether you are just beginning to explore AI capabilities or seeking to optimize existing initiatives, these gatherings provide invaluable insights, hands-on experience and strategic guidance from the leaders shaping AI’s future in Government. 

Connect with Carahsoft’s AI experts who understand Government requirements, compliance frameworks and proven implementation strategies. Whether you are attending one of these events or planning your AI roadmap, we are here to help.  

Contact us at AITeam@carahsoft.com to discuss your specific AI challenges, schedule a demo or coordinate meetings at upcoming events.  

Explore our AI solutions portfolio to see how we’re helping agencies like yours harness the power of AI to achieve mission success. 

Revolutionizing Road Safety: How Blyncsy Uses AI To Leverage Dashcam Footage

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By accessing over a million commercial dashcams, Blyncsy, a part of Bentley Systems, uses movement intelligence to improve mobility and transportation, uses artificial intelligence (AI) vision to pinpoint roadway issues, extrapolate pain points and alert local officials with the most efficient solution to the problem.

Infrastructure Pain Points

State and Local Governments rely on manual inspections to maintain roadways. These are incredibly expensive, as Light Detection and Ranging (LiDAR) systems cost 200 dollars or more per mile to operate. These fact-finding missions are both labor-intensive and time-consuming.

Information collected to make informed decisions on roadway maintenance is often coming from multiple sources. Fragmented and sometimes outdated data makes informed analysis difficult to obtain. Government officials need to be able to take these data points and interpret their value to suit modern needs, such as the wear of heavier electric vehicles and extreme weather on roadways, the use of autonomous vehicles and population increase in urban areas.

How AI-Vision Works

Blyncsy’s AI-Vision collects images from commercial dashcams currently on roadways around the country. The journey from raw footage to data analysis takes place in three steps:

  1. Upload and Validate: Images are collected and validated by examining meta details such as direction information, date and time stamps and heading information.
  2. Segment: AI-Vision breaks down the image and groups like objects together.
  3. Mask: Blyncsy highlights the segments that are valuable to the relative Government agency and provides near real-time insights.

Bentley Systems purchases the footage from partnering dashcam providers and makes the data available to State and Local officials that allow them to make informed and cost-effective decisions to improve their infrastructure. Proactive maintenance applications allow agencies to combine disparate data points to demonstrate how they interact with each other. For example, Blyncsy’s AI-Vision can identify a crosswalk in an image, then analyze the condition of the crosswalk paint and surrounding streetlights. This comprehensive analysis can help agencies quickly determine which intersections are not safe for pedestrians, and subsequently where they should be focusing maintenance efforts.

Blyncsy’s Capabilities

With the dashcams passively capturing and uploading every detail of the roads their drivers travel, Blyncsy’s practical applications are as numerous as the elements they capture.

  1. Safety Critical Assets: From guardrail detection and damage to paint line degradation, the AI-Vision can capture and evaluate the extent of the damage, determine whether the damage is severe enough to require immediate repair. Hawaii is the first to utilize this technology state-wide to detect vegetation encroachment and guardrail damage. As a result, the Hawaii Department of Transportation (HIDOT) can prioritize resolving the most critical safety issues.
  2. Roadway Detection: Similarly, AI-Vision can detect roadway conditions, including recognizing potholes and pavement cracking and issuing a Pavement Surface Evaluation and Rating (PASER) score, where ratings can indicate good or poor pavement condition.
  3. Sign Inventory: Blyncsy can identify how each sign it captures is categorized according to their Manual on Uniform Traffic Control Devices (MUTCD) Classification. From there, it can assess damage and even recognize whether a sign is missing. They can also perform Optical Character Recognition (OCR) on signs to read the text.

These are only a few of the numerous ways Blyncsy’s AI-Vision technology can make roadway and infrastructure maintenance more efficient and cost-effective.

 Watch Blyncsy CEO Mark Pittman discuss the capabilities of AI-Vision and how it can help optimize your infrastructure maintenance systems.

To learn more about Blyncsy (a Bentley company) or Bentley, or to schedule a demo, contact Bentley@carahsoft.com or call (703) 673-3570.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Blyncsy, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Building a Security Strategy for Agentic AI: A Framework for State and Local Government

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As artificial intelligence (AI) evolves from simple chatbots to autonomous agents capable of making independent decisions, State and Local Government agencies face a fundamental shift in cybersecurity requirements. Recent research shows 59% of State and Local Government respondents report already using some form of generative AI (GenAI), with 55% planning to deploy AI agents for employee support within the next two years. Yet this rapid adoption brings unprecedented security challenges. Because AI agents are designed to pursue goals autonomously, even adapting when security measures block their path, Chief Information Security Officers (CISOs) responsible for safeguarding Government networks must rethink traditional defenses and embrace a new security paradigm.

The Emergence of Agentic AI and Its Unique Security Challenges

AI agents represent a significant departure from the GenAI tools many agencies currently use. While traditional Large Language Models (LLMs) respond to prompts and return information such as a support chatbot, AI agents and agentic systems are autonomous software programs that can plan, reflect, use tools, maintain memory and collaborate with other agents to achieve specific goals. These capabilities make them powerful productivity tools, but they also introduce failure modes that conventional software simply does not have. Unlike deterministic systems that crash when something goes wrong, AI agents can fail silently through collusion, context loss or corrupted cognitive states that propagate errors throughout connected systems. Research examining the real-world performance of AI agents found that single-term tasks had a 62% failure rate, with success rates dropping even further for multi-term scenarios.

When Veracode examined 100 LLMs performing programming tasks, these systems introduced risky security vulnerabilities 45% of the time. For State and Local agencies handling sensitive citizen data, managing critical infrastructure or supporting public safety operations, these error rates demand careful attention within robust security frameworks designed specifically for autonomous systems.

The New Security Paradigm: From Human-Centric to Agent-Inclusive Workforce Protection

AI agents, the newest coworker, amplify insider threats by combining human-like autonomy with capabilities that exceed human limitations. While employees work within bounded motivation and finite skills, AI agents possess boundless motivation to achieve goals, uncapped skills that continuously improve and infinite willpower, constrained only by computational capacity. They will not simply make a single attempt to access a file, get blocked due to a lack of permissions, get frustrated and go home for the day the way an employee might; they will persistently pursue objectives, potentially finding novel ways around security controls.

This transformation fundamentally changes the attack surface agencies must protect. Data breaches continue to impose significant financial and operational strain across the public sector, with many state and local organizations reporting cumulative annual costs that reach into the millions. AI agents and agentic systems collapse traditional security models by operating as autonomous workforce members who interact with systems, access data and make decisions without direct human oversight. They can be compromised through threats specific to agentic AI, such as goal and intent hijacking, memory poisoning, resource exhaustion or excessive agency that can lead to unauthorized actions, all in pursuit of achieving programmed objectives. For Government agencies managing limited security budgets while protecting essential citizen services, this exponential increase in potential attack vectors demands proactive frameworks rather than reactive responses.

The AEGIS Framework: A Six-Domain Approach to Securing Agentic AI

Forrester’s Agentic AI Enterprise Guardrails for Information Security (AEGIS) framework provides a comprehensive approach to helping CISOs in securing autonomous AI systems across six critical domains.

Governance, Risk and Compliance (GRC) establish oversight functions and continuous monitoring capabilities. Identity and Access Management (IAM) address the unique challenge of agent identities that combine characteristics of both machine and human identities. Data Security focuses on classifying data appropriately, implementing controls for agent memory and considering data enclaves and anonymization from privacy perspectives.

Application Security evaluates risks across the entire software development lifecycle (SDLC), implements Development, Security and Operations (DevSecOps) best practices, assesses the software supply chain and uses adversarial red team testing to validate safety and security controls. This domain focuses on embedding telemetry that gives security teams visibility into agent behavior and decision making. Threat Management ensures logs are accessible to security operations center analysts, enabling detection of behavioral anomalies and supporting forensic investigations. Zero Trust Architecture (ZTA) principles apply such as implementing network access layer controls for agent workloads, continuous validation of the agent’s runtime environment and  monitoring of agent to agent communication.

Underlying the framework are three core principles:

  • Least Agency extends least privilege to focus on decisions and actions, ensuring agents have only the minimum set of permissions, capabilities, tools and decision making necessary to complete specific tasks.
  • Continuous Risk Management replaces periodic audits with ongoing evaluation of data, model and agent integrity.
  • Securing Intent requires organizations to understand whether agent actions are malicious or benign, intentional or unintentional, enabling proper investigation when failures occur.

Practical Implementation: Agent Onboarding and Governance

Forrester’s “Agent on a Page” concept provides a practical tool for providing structure, consistency and alignment of AI agents to business goals before activation, by outlining each agent’s owner, core purpose, operational context, knowledge base, specific tasks, functional alignment, tool access and cooperation patterns. This documentation gives business stakeholders clear success criteria, while security teams use it as a threat model and input into Forrester’s AEGIS framework to identify gaps in controls, missing guardrails, vulnerabilities and establish baselines to validate agent behavior against.

Similar to employee onboarding, agents require explicit programming on compliance frameworks, data privacy restrictions, scope of work and organizational norms. They must understand cooperation boundaries, operational context, knowledge sources and collaboration patterns. Agencies already deploying agents may have some of this documentation; those starting should collaborate between business owners and security teams to develop these frameworks.

Building a Secure Foundation for Autonomous AI

State and Local Government agencies stand at a critical inflection point. AI agents promise significant productivity gains across employee support, investigation assistance and first responder capabilities. Yet deploying these autonomous systems without appropriate security frameworks creates unacceptable risks for organizations managing citizen data and essential public services. The AEGIS framework provides a comprehensive approach to securing agentic AI before widespread deployment, enabling agencies to realize benefits while maintaining security postures that citizens expect.

Organizations should begin by reviewing the Forrester’s AEGIS framework to understand how it maps to existing compliance requirements such as NIST AI RMF, the EU AI Act and OWASP Top 10 for LLMs. Forming AI governance committees using AEGIS principles help establish organizational buy-in. Discovery processes identifying which departments are exploring AI agents enable targeted control implementation. Agencies that establish strong foundations now position themselves to adopt autonomous AI confidently and securely.

To explore the complete AEGIS framework and gain deeper insights into securing agentic AI for State and Local Government, watch Carahsoft’s full webinar featuring Forrester, “Full Throttle, Firm Control: Build Your Trust Strategy for Agentic AI.”

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Forrester, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Where the Physical Meets the Virtual: How Digital Twins Transform Flood Management

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Roughly 2 billion people globally are at risk of flooding, with that number growing steadily every year. With flooding ranking as the number one most frequent and costly natural disaster, Federal, State and Local Governments must find ways to translate historical and real-time data into predictive models for emergency response. Digital twins powered by Artificial Intelligence (AI) substantially shorten simulation cycles, compare complex variables and precisely estimate future flood scenarios.

Challenges with Traditional Forecast Models

Examining the traditional forecast modeling process uncovers a series of disadvantages that mean an early warning flooding system is not functioning at maximum potential. These flood algorithms often have long modeling and simulation times, and analysts do not have the luxury to run outcomes multiple times to make the model as accurate as possible when it comes to emergency response. As forecasting areas get larger, these models need more time, more compute power and more analysts to run properly.

There are also issues with the data input into traditional forecast models. Analysts have data that is either unreliable or unavailable in the locales necessary to issue an accurate early flood warning. Incorrect data can also be created when outdated models misrepresent geospatial features. When this invalid data cannot be compared with other current or historical data points, the overall quality of the data decreases.

Along with the disadvantages of the traditional models themselves, the nature of flooding itself presents its own unique set of challenges for analysts. Freeform or uncontained water is an incredibly difficult element to measure properly, especially when it is in motion. Additionally, weather forecasts are often microregional. Rainfall can differ drastically between two different areas only hundreds of feet apart, making accurate assessments of rainfall across entire municipalities or counties near impossible.

To address these challenges, analysts examine existing models and determine how emerging technology can complement those frameworks to function in a more proactive manner.

Digital Twins and Flood Management

Predictive models are at the cornerstone of emergency response, and the merging of the physical world with digital information is crucial to outputting accurate information for public servants to utilize in the field. This is achieved through the creation of digital twins, or virtual representations of real-life components and processes. In this case, digital twins of an Area of Interest (AOI), such as a town or a county, can consist of multiple variables that can contribute to different factors in a flood scenario, including elevation, stormwater infrastructure, commercial and residential constructions, precipitation and natural geographic features. The model then forecasts flooding based on real-time and historical data.

To create a digital twin, analysts select a designated AOI and break it down into a gridded matrix. These cells can be as precise as 50 feet by 50 feet, depending on the resolution required for a specific model and the resolution of the available geospatial data. This way, the model can take into account the spatial variation of different geological data elements within the AOI, including infiltration rate and soil type. Relevant data points are often available through the town or county in question, or through the United States Geological Survey (USGS). Once compiled, this information can be processed in a Geographic Information System (GIS) to create a digital twin to be used in flood forecasting.

However, the digital twin can remain static for some time, but can often change based on:

  • Changes in the landscape due to urbanization
  • Structures are built and demolished
  • Coastlines and water levels change

The more data and more current data that is incorporated into the digital twin, the more accurate the flood forecast and the more efficient the emergency response will be.

The Power of the Hybrid Model

As stated previously, one of the major challenges facing public servants concerning flood management is the time it takes to run simulations. AI models, trained on a series of input and output data, dramatically cut down model run times during storm events. Analysts can produce forecasts in seconds or minutes, where prior it may have taken hours or days to produce the underlying hydraulic and hydrologic model. This rapid prediction via model scoring process means that multiple AI models can be run at once that can take uncertainty in multiple parameters into account, reconcile differentiating flooding estimates and produce more accurate estimates.

When AI meets the real-world accuracy of digital twins, Government agencies can quickly and effectively plan for worst-case scenarios in flood emergencies.  These hybrid models can pinpoint areas on a large scale that are susceptible to complex issues during a flood, such as trash accumulation. Subsequently, these models can outline in real-time the cause and effect of decisions made by Government officials. In other words, if officials make infrastructure changes to solve a water challenge in one location, a hybrid model can show if the solution inadvertently created additional challenges elsewhere.

According to experts in the field, collaboration is the key to flood management success. This synergetic approach is echoed in the use of digital twins and AI predictive models. Using historical and real-time data to simulate future events will ultimately allow Government officials to plan and respond to flood scenarios safely and effectively.

Discover how digital twins and accompanying technology can transform flood management by watching SAS’s webinar “From Sensors to Digital Twins: Real-Time Flood Management with Data & AI”.

How Snyk Helps Federal Agencies Prepare for the Genesis Mission Era of AI-Driven Science

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The White House’s new Genesis Mission signals a major shift in how the Federal Government plans to accelerate discovery using AI, national lab computing power and massive scientific datasets. For agencies, this means a new wave of AI-enabled research programs, expanded public-private collaboration and a significant increase in the use of software, data pipelines and cloud resources to drive scientific missions. Along with this opportunity comes a simple truth: AI can only accelerate discovery if the software behind it is secure.

That’s where Snyk supports agencies—by enabling developers, researchers and mission teams to build secure software from the start, aligned to Secure by Design and modern Federal cybersecurity expectations.

Why the Genesis Mission introduces new security pressure for agencies

  • More data and more experimentation: Agencies will be unlocking and federating large datasets, many of which were never designed for AI-scale access. This increases exposure risk and requires tighter control over data lineage, permissions and software pipelines.
  • More partners in the loop: National labs, other Federal entities, commercial cloud providers, academia and industry vendors will work together under new shared platforms. That means expanded software supply chains and stricter expectations for transparency and assurance.
  • Faster development cycles: Scientific models, simulations, AI workflows and data-processing pipelines will move at an accelerated pace. Traditional security review processes won’t be able to keep up.
  • Higher stakes for misconfigurations: AI workloads rely heavily on containers, open source, infrastructure-as-code and cloud services. A single misconfiguration in a pipeline, cluster or library could compromise sensitive scientific work.

Federal agencies need secure-by-default pipelines that can scale with mission speed.

Four ways Snyk supports Federal agencies

1.  Secures software supply chains for AI, HPC and scientific workloads

Snyk gives agencies visibility into all components used in AI and research software—including open source libraries, containers and IaC templates. Snyk helps agencies identify vulnerable or

risky components early, enforce approved library lists, produce SBOMs automatically and meet Federal supply chain expectations (Secure by Design, NIST 800-218, EO 14028, etc.)

2.  Embeds security for CI/CD, model-training and data pipelines

Whether agencies run pipelines in cloud environments, HPC clusters or hybrid infrastructures, Snyk integrates directly into:

  • GitHub / GitLab / Bitbucket
    • Jenkins, GitHub Actions, CircleCI
    • Container build systems
    • AI/ML workflow orchestration tools

This ensures vulnerabilities, misconfigurations and secrets are caught before software reaches production environments or shared research platforms.

3.  Cloud and container security for AI compute systems

The Genesis Mission relies on secure computing—including cloud GPUs, containerized workloads, HPC clusters, research VMs and hybrid infrastructure. Snyk helps agencies detect misconfigurations across cloud infrastructure, secure container images powering AI workloads, scan infrastructure-as-code templates before deployment and protect credentials and secrets used in research pipelines.

4.  Practical “secure by design” implementation

Snyk meets developers and researchers inside the tools they already use by providing automated fix recommendations, IDE plug-ins for secure coding, policy enforcement for high-risk components, as well as fast feedback loops that align with Agile R&D teams. This

operationalizes Secure-by-Design in a way that won’t slow down experiments, model training or rapid prototyping.

Why this matters for Federal missions

The Genesis Mission is accelerating scientific discovery across:

  • Clean energy and grid modernization
    • Fusion and advanced nuclear research
    • Materials science and critical minerals
    • Biotechnology and health research
    • Quantum, semiconductors and microelectronics
    • Climate modeling and Earth science

These domains rely heavily on software, data and compute, and securing those systems is essential for mission success.

Snyk helps agencies build software that is secure by design, fully transparent and aligned with Federal AI safety expectations. With Snyk’s AI Security Platform, agencies gain end-to-end protection across code, dependencies, containers and AI pipelines, enabling trustworthy and compliant AI systems that can power the next generation of U.S. Government missions–exactly what the Genesis Mission requires.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Snyk, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Better Together: How Eightfold.ai and Empyra Are Transforming Government Workforce Services

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Proven Results:

  • 30% faster job placement (Washington, D.C.)
  • 36% increase in engagement among underserved populations
  • 65% increase in training module completions
  • 71% increase in job applications submitted
  • 30% faster reemployment for RESEA participants (Florida Department of Commerce)

State and Local Governments are rethinking the way they connect job candidates with meaningful employment. Eightfold.ai and Empyra have combined to join advanced AI-driven talent matching with configurable case management. Together, they deliver a unified, secure environment that helps agencies modernize operations, improve employment outcomes and provide more efficient, personalized experience for both job seekers and employers.

AI-Driven Workforce Modernization

Eightfold.ai was built by former Google and Facebook engineers to be the world’s most intelligent talent matching platform, matching candidates to the right jobs. From more than a decade of global labor market data, its neural network goes beyond keyword searches, interpreting:

  • Skills
  • Roles
  • Qualifications

The platform continuously learns from interactions across job seekers, employers and case managers, moving agencies away from time-consuming resume screening toward a data-driven system that identifies talent by capability and aptitude.

Through its Career Navigator, Eightfold.ai provides:

  • Visual career pathways
  • Transferable skill identification
  • Gap analysis
  • Training from State-approved providers

This transforms the labor exchange into a dynamic environment that supports both immediate reemployment and long-term career mobility.

Integrated Case Management and Service Delivery

Empyra’s myOneFlow consolidates workforce and social service delivery into a single, configurable platform. By capturing data once and reusing it across workflows, the system reduces duplication and frees staff to focus on engagement rather than paperwork. Designed as a Commercial Off-The-Shelf (COTS), Workforce Innovation and Opportunity Act (WIOA)-ready system, myOneFlow includes Participant Individual Record Layout (PIRL) and performance reporting out of the box. As funding and requirements evolve, its flexible architecture allows agencies to tailor:

  • Forms
  • Eligibility rules
  • Intake processes
Eightfold.ai , Better Together Eightfold.ai and Empyra blog, embedded image, 2025

The platform streamlines the participant journey by automating:

  • Intake
  • Enrollment
  • Eligibility determination
  • Business rules to identify program fit
  • Referrals to partners for housing, education, training or employment resources

Participants can complete tasks and upload documents from any device via the mobile app. Beyond WIOA, myOneFlow also supports:

  • Apprenticeship management
  • Temporary Assistance for Needy Families (TANF)
  • Supplemental Nutrition Assistance Program (SNAP) tracking
  • Domestic-violence programs
  • Municipal grants.

By consolidating these functions, myOneFlow gives agencies flexibility to manage multiple programs efficiently within one adaptive system.

“Better Together” Integration Between Eightfold.ai and Empyra

Together Eightfold.ai and myOneFlow create a single front door for job seekers, case managers and employers. Unified identity management with Single Sign-On (SSO) and shared data models ensure information remains consistent across platforms.

Here’s how the integration works:

  • Participants register in myOneFlow
  • Their intake data automatically populates into Eightfold.ai
  • The AI engine generates skills assessments, job recommendations and career pathways
  • Applications, training and other activities sync back into myOneFlow

Case managers gain a real-time view of participant progress without manual entry, while employers benefit from accurate candidate matching and streamline recruiting tools. Behind the scenes, Eightfold.ai and Empyra operate a coordinated support model and incorporate agency feedback into joint product enhancements.

Trust, Security and Compliance

Both platforms meet rigorous standards, including:

  • FedRAMP
  • Tx-RAMP
  • System and Organization Controls 2 (SOC 2)
  • Department of Defense (DoD) Impact Level 4 (IL4)
  • International Organization for Standardization (ISO) 27001

They also adhere to evolving regulations across the European Union Artificial Intelligence (EU AI) Act, Texas Department of Information Resources (DIR) and other State privacy laws.

myOneFlow enforces:

  • Role-based access controls
  • Audit logging
  • Deduplication safeguards

Building the Future of Workforce Modernization

Eightfold.ai and Empyra’s myOneFlow demonstrate what is possible when AI, automation and integration align with mission-driven goals. The integrated solution helps agencies:

  • Deliver faster services
  • Improve job matching accuracy
  • Reduce administrative burden
  • Strengthen engagement
  • Maximize limited resources

Workforce organizations can now create a more responsive, equitable and efficient system, empowering job seekers, supporting employers and advancing mission outcomes.

Watch the full webinar, “AI-Centric Innovation: Modernizing Workforce Agencies,” to see the full demonstration of Eightfold.ai and Empyra’s integrated approach to workforce transformation.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including Eightfold.ai and Empyra, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

Emerging Trends in Artificial Intelligence and What They Mean for Risk Management

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Artificial intelligence (AI) is a valuable risk management tool, but it also poses a degree of risk. As AI becomes more prevalent, it opens new possibilities while simultaneously raising new concerns.

Federal agencies and contractors have a responsibility to closely monitor developments in the scope and capacity of AI. In this article, we’ll explore some of the top emerging trends in AI, and we’ll explain their impact on risk management strategies for Federal agencies and contractors.

What are the Emerging Trends in Artificial Intelligence?

With its enormous capacity for pattern recognition, prediction and analytics, AI can be instrumental in identifying risk and driving solutions. Here are some of the most promising new AI applications for risk management.

Predictive Analytics

Predictive AI is widely used in applications like network surveillance, fraud detection and supply chain management. Here’s how it works.

Machine learning tools, a subsection of AI, rapidly “read” and analyze reams of historical data to find patterns. Historical data can mean anything from network traffic patterns to consumer behavior. Since machine learning tools can analyze vast datasets, they find subtle patterns that might not be evident to a human analyst working their way slowly through the same data. This kind of predictive analysis helps organizations identify risks before they escalate.

Once ML identifies the patterns, it can use them to make highly specific and accurate predictions. That can mean, for example, predicting website traffic and preventing unexpected outages due to increased usage. It can also mean spotting the warning signs of new computer viruses or identifying phishing emails.

Generative AI

Generative AI (GenAI) is often discussed in terms of its content creation capabilities, but the technology also has enormous potential for risk management.

GenAI can rapidly synthesize data from a wide range of inputs and use it to create a coherent analysis. For example, GenAI can make predictions about supply chain disruptions, based on weather patterns, geopolitical issues and market demand. Many generative systems use natural language processing to interpret context, summarize information and support more accurate decisions.

GenAI can also come up with solutions to the problems it identifies. The technology excels at breaking down silos and drawing connections between different sources of information. For example, the technology can suggest alternative shipping routes or suppliers in the event of a supply chain disruption.

It’s worth noting that, like any other AI tool, generative AI does best with human oversight. GenAI analysis should never be accepted at face value. Rather, employees can use it as an inspiration or a jumping-off point for further planning. Human expertise should always play a key role in the planning process, since GenAI isn’t always accurate.

Adaptive Risk Modeling

AI tools are capable of continuous learning and real-time analysis. Those capabilities lay the groundwork for adaptive risk modeling.

Adaptive risk modeling allows for a dynamic understanding of risk factors, instead of the traditional static approach. The old way of calculating risk relied on identifying patterns in historical data and using a linear model with a simple cause-and-effect analysis.

In contrast, adaptive risk modeling uses machine learning and deep learning to continually scan data sets for changes or new patterns. Instead of a static, linear model, AI risk modeling can build a dynamic model and continually update it.

Use Cases for AI Risk Management Tools

AI is widely used in the Public and Private Sectors to predict and manage risk, even with third parties involved. Here are some of the common use cases.

Federal Government Use Cases

A growing number of Federal agencies use AI tools to increase efficiency in their work. Some are beginning to pilot AI-powered agents to automate routine tasks and provide real-time recommendations for employees.

  • The Department of Labor leverages AI chatbots to answer inquiries about procurement and contracts.
  • The Patent and Trademark Office uses AI to rapidly surface important documents.
  • The Centers for Disease Control uses AI tools to track the spread of foodborne illnesses.

Financial Sector

Lenders increasingly use AI tools to assess the risk of issuing loans. Because AI can collect and analyze large data sets, the technology provides a comprehensive way to assess creditworthiness.

Financial institutions also use AI for fraud detection. AI tools can spot patterns in typical customer behavior and identify anomalies that could indicate fraud.

Insurance Industry

Insurance companies frequently use AI for underwriting, including risk assessment and risk mitigation. AI is also a useful tool for processing claims and searching for fraud.

Generative AI is also often used to provide frontline services to customers. For example, chatbots answer straightforward questions, provide triage and refer more complex questions to human operators.

Risks Associated with AI Technologies

AI is a valuable tool in mitigating risk, but it’s important to be aware of the risks the tools themselves present.

Chief among those risks is the problem of algorithmic bias. AI and ML excel at identifying patterns and codifying them. However, this means that AI is only as good as the data that feeds it. If AI/ML tools are trained on biased data, the tools will codify the biases embedded in that data. AI/ML takes the unspoken prejudices in datasets and turns them into hard and fast rules, which inform every decision going forward.

Agencies must also consider data privacy implications when AI tools process sensitive or regulated data. If human operators do not question the algorithm’s output, there’s a real risk that bias will become deeply ingrained, causing lasting harm to individuals and organizations and even creating regulatory compliance issues.

Addressing AI Bias

Federal agencies and contractors must understand exactly how AI tools are being deployed. Operators should frequently look “under the hood” of the AI algorithms, asking questions about how the outputs are generated. Opening the “black box” allows organizations to check for bias and prevent it from being codified. Strong data ethics practices ensure that AI systems are trained on fair, transparent and accountable data sources.

It’s best practice to implement a cross-functional AI governance council or team to oversee artificial intelligence. It’s also important to work closely with a trusted partner who has experience integrating AI into a GRC platform. The best AI tools help humans manage a Federal agency with efficiency. The question is, how to make the most of the available technology while mitigating the associated risk.

From Pilot to Production: Operationalizing Healthcare GenAI in Secure Multicloud Environments

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Healthcare organizations are under immense pressure to shrink margins, tighten regulations, improve patient expectations and utilize increasingly complex data environments. While generative artificial intelligence (GenAI) has emerged as a powerful tool, most healthcare systems still struggle to move from experimentation to measurable outcomes. Leaders are asking the same questions: Where do we start? How do we ensure security and compliance? How fast should the Return on Investment (ROI) appear?

The answer is not simply selecting a model, it is building a strategy and infrastructure that transforms AI from a promising pilot into an enterprise engine for clinical, operational and financial improvement.

Start With High-Impact Use Cases that Deliver Early ROI

The path to operationalizing GenAI begins with use cases that are narrow enough to implement quickly, but meaningful enough to prove value. Start where measurable gains are most attainable, such as document processing, contract review, claims analysis, compliance workflows and call center optimization.

One of the strongest early candidates is Protected Health Information (PHI) de-identification, where AI can accelerate research access while protecting privacy. Many organizations are also applying GenAI to claims review, using models to flag missing attachments, coding inconsistencies or errors that commonly drive costly denials. With first-pass denial rates hovering in the 17–25% range industry-wide, automating this analysis can generate immediate financial return.

These targeted wins build executive confidence, secure budget and create organizational momentum, which is critical before expanding to more complex clinical or patient-facing scenarios.

Build Trust by Grounding the Model in Your Own Data

Accuracy and trust determine whether healthcare AI is adopted or ignored. General-purpose models are not sufficient for healthcare, where language is deeply nuanced and context dependent. Instead, organizations should ground GenAI in their own governed data sources, such as Electronic Health Records (EHRs), Customer Relationship Management (CRM) platforms, care summaries, research documents or internal policies.

To achieve this, many leaders are adopting Retrieval-Augmented Generation (RAG) with vector databases, which allows models to pull precise information from internal systems in real time. Vector databases are a foundational accelerator, enabling faster, more accurate retrieval across structured and unstructured data. This approach delivers three business advantages:

  1. Higher accuracy and confidence in model responses
  2. Stronger control of PHI and sensitive data
  3. Traceability, which is essential for audits, appeals and clinical validation

Grounding the model in an organization’s own data turns GenAI from a creative tool into a trusted operational system.

Use a Secure Multicloud Strategy to Reduce Risk and Increase Agility

John Snow Labs, Operationalizing Healthcare GenAI blog, embedded image, 2025

To operationalize GenAI responsibly, healthcare organizations should design for security,compliance and flexibility from day one. When separating PHI and non-PHI workloads, a multicloud strategy helps healthcare organizations:

  • Isolate sensitive data to minimize breach impact and simplify governance
  • Reduce lock-in risk and leverage the strengths of different cloud platforms
  • Tap into more innovative options, since each cloud offers unique AI tooling
  • Optimize cost and performance by matching workloads to the right environment

Multicloud design also supports stronger compliance postures by enabling auditability, identity controls, monitoring and bias/hallucination safeguards, all of which must be proven to regulators and accrediting bodies.

Avoid “Pilot Purgatory” and Build a Path to Production

Many healthcare AI programs fail not because the technology underperforms, but because the organization never assigns ownership or a path to scale. To prevent “pilot purgatory,” short-term projects that drag on without measurable outcomes, organizations should:

  • Create a defined production roadmap before the pilot begins
  • Empower a cross-functional AI Center of Excellence (COE) to own outcomes
  • Secure both clinical and administrative stakeholders
  • Treat GenAI as an enterprise capability, not a one-off project

This shift enables the same investment to support multiple use cases, expanding impact while lowering cost per interaction over time.

Continuously Measure, Optimize and Expand

An operational GenAI program is never “set it and forget it.” It is important to continuously track Key Performance Indicators (KPIs) to guide optimization and justify expansion. Recommended KPIs include:

  • Cost per interaction
  • Accuracy and confidence
  • Time saved per task or workflow
  • Time to response (latency and model speed)
  • User satisfaction (providers, staff and patients)

By evaluating these metrics regularly, healthcare organizations can expand from early wins to enterprise scale, from research and development to patient support, revenue cycle, compliance and beyond.

Align People, Data and Infrastructure For AI Success

Technology alone is not the determining factor of AI success in the healthcare space, alignment is. Success requires a shared vision from leadership, responsible data groundwork, a secure multicloud foundation and continuous measurement to maintain trust and value. With the right approach, GenAI can improve patient satisfaction, strengthen trust, accelerate research and innovation, reduce administrative burden and deliver measurable ROI in weeks over years.

Carahsoft and John Snow Labs help healthcare leaders accelerate this journey, combining secure infrastructure, domain-specific healthcare AI and proven deployment models. To explore how your organization can operationalize GenAI safely and effectively, watch the full webinar, “Lessons Learned from Harnessing Healthcare Generative AI in a Hybrid Multi-Cloud Environment.”

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including John Snow Labs, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

How AI-Powered Records Management Transforms Government Operations from Reactive to Proactive

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Government agencies today must manage an unprecedented volume of digital documents. As digital transformation accelerates across Federal, State and Local agencies, the challenge is not just managing more content, it is extracting actionable intelligence while maintaining compliance, security and operational efficiency. Artificial intelligence (AI) has transformed enterprise records management, replacing manual processes with automated, predictive systems that improve decision making and resource allocation across the mission.

AI-Powered Auto-Classification for Document Management

Effective classification is the foundation of records management, and AI has altered this traditionally complex process. Modern AI models can accurately classify structured documents like invoices or purchase orders, with as few as ten training examples. This represents a major improvement over legacy systems that required zonal Optical Character Recognition (OCR) configuration, separator pages and precise layout specifications.

AI models employ multiple techniques, including computer vision, text extraction and contextual reasoning, to identify document types with high confidence. Unlike older pattern-matching tools, today’s AI adapts to variations in structure and format, making classification scalable for agencies managing thousands of document types across different departments.

Training has also become more accessible. Agencies can simply label documents, point the AI to those examples and generate a working classification system. Accuracy improves over time through human review, and confidence scores allow agencies to set thresholds and route low-confidence results to human reviewers.

Accurate classification directly impacts record retention, access control and content discovery. Without it, employees cannot find necessary documents, retention schedules are misapplied and access permissions become inconsistent. Robust AI-powered classification at ingestion ensures downstream processes function as intended.

Intelligent Data Extraction from Structured and Unstructured Documents

Once documents are classified, agencies must extract meaningful information, an area where AI delivers transformative capabilities. Modern machine learning models locate key-value pairs anywhere on a document, using contextual understanding rather than fixed positions or label formats. AI can also answer natural-language queries, mirroring human logic. If a person can explain how they would find a piece of information, that logic can be written as a prompt for the model.

These capabilities work across structured and unstructured formats. Work that previously required specialized staff and years of experience can now be configured with simple prompts. Confidence scoring ensures accuracy. When the model is uncertain, items are routed to human reviewers. This combines automation’s speed and consistency with human judgment where needed.

For Government agencies, AI extraction improves compliance and reporting. Licensing applications, permit requests, inspection reports and countless other documents can be automatically processed, with extracted data populating systems of record and triggering workflows. Information once locked in PDFs or paper becomes structured, searchable and actionable.

AI-Driven Deduplication and Data Quality Management

VisualVault, AI-Powered Records Management blog, embedded image, 2025

Duplicate data is a productivity drain and a compliance risk. Redundant documents accumulate quickly across forwarded emails, multiple repositories and inconsistent processes. This creates unnecessary work, consumes storage and complicates compliance with data retention requirements.

Legacy deduplication relied on hash matching, but this fails to detect most real-world duplicates. AI-based deduplication analyzes document classifications and extracted metadata to determine true duplicates based on agency-defined rules. If the elements match according to customer rules, the system flags the items as duplicates regardless of differences in headers or formatting.

This content-based deduplication reduces storage costs, simplifies retention compliance and minimizes cybersecurity exposure. Retaining unnecessary data increases legal risk during litigation and discovery and expands the attack surface for cyber threats. AI allows agencies to retain only necessary data, reducing operational and security liabilities.

Enhanced Workflow Automation with Predictive Analytics

High-quality, classified and extracted data unlocks the full value of predictive analytics, enabling Government agencies to shift from reactive problem-solving to proactive planning. This capability uses historical data to predict outcomes, such as numeric values, binary decisions or multiclass classifications.

Platforms like VisualVault allow agencies to train predictive models without data science expertise. Professional services teams configure the models, demonstrate how they work and train agency employees to manage them.

Public sector agencies already use predictive analytics to forecast safety incidents at licensed facilities. Historical inspection data comprised of conditions, violations and corrective actions allows models to identify facilities with a high probability of future serious events. When inspections reveal patterns associated with increased risk, inspectors and licensing officials are automatically alerted, enabling early intervention.

Predictive analytics also strengthens performance management. Agencies can compare their metrics against industry norms, seeing where they stand within their sector. This supports investment decisions and enables precise tracking of improvement outcomes.

Agencies should focus on automating controls that meaningfully reduce, not simply increasing the percentage of automated controls. High-impact controls should be prioritized for automation and predictive monitoring to maximize security and operational benefits.

For decision makers, predictive analytics delivers the context and accuracy needed to make fast, informed decisions across claims, vendor management, resource allocation and strategic planning.

Digital Transformation as Organizational Necessity

Despite rapid technological advancement, human expertise remains essential. AI systems are designed to operate behind the scenes and do not require users to understand machine learning (ML) concepts. Small teams define the required outcomes, what must be classified, what data must be extracted and what predictions will improve decisions, while professional services configure the system accordingly.

AI adoption does not inherently reduce headcount. Historically, technology shifts transform jobs rather than eliminate them. Workflows move from manual tasks like sorting documents to higher-value work such as analysis, decision making and innovation. Employees focus on defining requirements, reviewing AI outputs and applying human judgement where it adds value.

The Measurable Value of AI Implementation

Agencies can begin their journey by identifying their key performance indicators and the business outcomes they want to improve:

  • What pain points cause the most friction?
  • Where do backlogs accumulate?
  • Which processes create the most risk?

This ensures implementation is tied to measurable outcomes. AI success depends on clear requirements, proper process, staff training and strong governance. Agencies should adopt AI incrementally, starting with high-value use cases that deliver quick wins, then expanding into more complex workflows and predictive models as confidence grows.

Digitization mandates and the rise of generative AI have accelerated content creation beyond expectations, driving significant growth for platforms like VisualVault. The agencies that succeed will be those that embrace this shift and modernize now.

Watch VisualVault’s webinar “Employing AI to Bring Order and Value to Enterprise Records Management” to explore detailed demonstrations of AI-powered classification, extraction and predictive analytics capabilities that can transform your agency’s records management operations.

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including VisualVault, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

From Data Silos to Life-Saving Decisions: How Technology is Transforming Healthcare Delivery

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Healthcare organizations continuously navigate complex challenges as patient demand grows. Imaging volumes are rising faster than radiology capacity can scale. Public health agencies manage vast amounts of data across disconnected systems. Administrative tasks consume time that healthcare staff would rather spend on patient care.

These operational realities create opportunities for technology to make a meaningful difference. Leading healthcare organizations are already transforming these challenges into improved outcomes through strategic technology deployments enabled by streamlined procurement.

As The Trusted IT Solutions Provider for the Healthcare Industry™, Carahsoft offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. Streamlined procurement is available through Carahsoft’s reseller partners and numerous contract vehicles including GSA Schedule, NASPO ValuePoint, E&I Cooperative Services and The Quilt.

Key Takeaways:

  • AI diagnostics improve radiology efficiently by up to 40% addressing the looming shortage of 42,000 radiologists by 2033.
  • Unified data platforms enable more than 80% of emergency departments to share real-time data with the CDC.
  • Automated workflows cut processing times by 50%, freeing staff for patient care.
  • Zero Trust security protects patient data while enabling hybrid cloud operations.
  • Streamlined procurement accelerates deployment from months to weeks.

AI-Powered Diagnostics: Addressing the Radiology Crisis

By 2023 the U.S. faces a shortage of up to 42,000 radiologists as imaging volumes rise 5% annually while residency positions increase just 2%.

At Northwestern Medicine, Dr. Mozziyar Etemadi, Clinical Director of Advanced Technologies, deployed a generative AI solution with Dell Technologies and NVIDIA that analyzes chest X-rays and generates draft reports instantaneously. Results: radiology efficiency improved by up to 40% without compromising diagnostic accuracy. The system flagged unexpected pneumothorax cases with 72.7% sensitivity and 99.9% specificity – lifesaving in emergency settings.

The technology runs on Dell PowerEdge XE9680 servers with NVIDIA H100 GPUs, deployed on premises to maintain HIPAA compliance. Northwestern is now developing predictive models for entire electronic records.

Public Health Surveillance: Rapid Outbreak Response

The CDC faced a critical challenge: essential health data trapped in disconnected silos across thousands of facilities.

The CDC’s partnership with Cloudera created a unified platform consolidating data from hospitals, laboratories and wastewater testing sites. More than 80% of non-federal emergency departments now send data to CDC, enabling comprehensive threat monitoring. When measles spiked across 15 states in 2025, officials had integrated visualizations within days.

The CDC’s One CDC Data Platform (1CDP), established in 2024, provides state, tribal, local and territorial agencies with streamlined access to core datasets and analytics, enabling faster disease trend detection and proactive strategies.

Accelerating Cancer Research Collaboration

The National Cancer Institute partnered with Google Cloud and Barnacle AI to introduce NanCI – a platform leveraging AI-driven recommendations to connect researchers with collaboration opportunities, literature and events. The solution demonstrates how AI extends beyond clinical care to accelerate scientific discovery across Government, Education and Healthcare sectors.

Operational Excellence: Freeing Caregivers to Care

Workforce coordination: Healthcare organizations use BlackBerry AtHoc, available through Carahsoft’s reseller network and contract vehicles, to streamline staffing and scheduling processes. The event management platform helps ensure personnel are coordinated efficiently across departments which is essential for maintaining high standards of patient care.

Financial automation: Community Health Centers of Florida implemented Laserfiche’s enterprise content management system, cutting processing time by 50% and eliminating manual data entry. “I cannot fathom processing the current volume of invoices ‘the old way,’” said Dee Bradshaw, director of purchasing. “Laserfiche has cut our processing time in half.”

Every hour freed from administrative burdens is an hour caregivers get back to spend with their patients.

Modern, Secure Infrastructure

California Department of State Hospitals deployed Rubrik’s data management platform to integrate legacy systems with modern hybrid cloud environments. Rubrik’s Zero Trust Data Security framework minimized ransomware vulnerability while ensuring Federal compliance.  

St. Luke’s University Healthcare Network used Rubrik for faster backups, near-instant recovery and seamless hybrid IT integration, strengthening cyber defenses while freeing IT staff to support clinical teams.

Federal agencies, State and Local Governments and Education institutions face similar Zero Trust security and hybrid cloud integration requirements.

Explore Carahsoft’s cybersecurity solutions at www.carahsoft.com/solve/cybersecurity.

Meeting Demand at Scale

NYC Health + Hospitals deployed Snowflake’s Data Cloud which consolidated separate data sources into a unified platform. This integration eradicated silos, provided real-time visibility and enabled data-driven decisions at the point of care for vulnerable populations.

The Carahsoft Advantage

For Healthcare Organizations: Faster access to solutions, simplified procurement through pre-negotiated contracts, integrated solutions across technology verticals, dedicated healthcare technology expertise. Simplify your organization’s procurement journey with Carahsoft.

For Reseller Partners: Opportunities to deliver comprehensive solutions, access to leading vendors through established contract vehicles, sales enablement and marketing support. Become a Carahsoft reseller partner.

For Technology Vendors: Expanded reach across Federal, State and Local Government, Education and Healthcare markets, simplified Healthcare sales through hundreds of contract vehicles. Join our partner ecosystem.

Ready to explore healthcare technology solutions?