Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.
Events and Resources
Events
Making AI Safe for Public Sector Organizations
Hosted By: SentinelOne & Carahsoft
As Public Sector organizations accelerate AI adoption, the intersection of innovation and security has never been more critical. In this session, Prompt Security, a SentinelOne company, explored how organizations can securely deploy—and scale—AI in even the most highly regulated environments. From safeguarding employee use of public AI tools and discovering shadow AI, to defending proprietary AI applications against prompt injection attacks, data leakage and content toxicity, security leaders need a complete solution to defend against AI risk.
We demonstrated how Prompt Security’s platform provides unified visibility, granular policy control and real-time protection across the AI lifecycle.
During this webinar, attendees learned about:
- Practical approaches to managing AI risks, ensuring compliance and maintaining trust as enterprises integrate AI into critical workflows
- How leading organizations are balancing innovation with governance and security
- What it takes to build a resilient, responsible foundation for enterprise AI
Fill out the form below to view this archived event.
Resources
Stay One Step Ahead of Fraud, Waste, and Abuse
Fraud refers to the deliberate misrepresentation of information in order to deceive or mislead. Abuse refers to the improper use of resources or authority. Fraud and abuse can have serious consequences, including financial losses, reputational damage, and legal ramifications. These criminals use multiple avenues, such as cell phones, insurance claims, tax returns, credit card transactions, government procurements, identity theft, and more. Ultimately, fraud represents a significant risk to business and government operations, yet most organizations still use outdated, rule-based systems to detect it. Rule[1]based systems are useful for uncovering known patterns, but as fraud has evolved in unpredictable ways, so must the tools needed to detect it.
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