Users in the new age engage with generative AI like a personal assistant, granting it access to their personal calendars and assigning it tasks such as making dinner reservations to make life easier. On the professional level, employees turn to AI to expedite difficult or repetitive tasks to make their work easier. By educating employees on the security ramifications of generative AI, and by properly implementing it into their agency, State and Local Government and Education Market (SLED) decision makers can accelerate and improve their day-to-day processes.

Updated Security Parameters

When it comes to sensitive data, agencies and individuals should always maintain a broad scope of vigilance. With generative AI, agencies need to consider who has access to that information, and which adversaries may potentially exploit that information.

Employees should be trained to spot red flags and use AI safely. With the increase in deep fakes, such as voice masking or impersonation, employees need to be able to spot suspicious phone calls and videos. With proper training to detect and report these instances, employees can help prevent hacking attempts. It is difficult to prevent employees from using generative AI, even in specific scenarios where sensitive data is present. Agencies should make the switch to sanctioned vendors, granting them access to fully tracked logs. It is critical to prevent sensitive information from passing into public AI, where it will be shared with others.

By design, AI is a black box. While agencies and users can not know what goes on between input and output, they should only trust generative AI packages that have dependable service hosts. Agencies, especially SLED agencies that handle sensitive information, need to be guaranteed that their data will remain contained by reliable parent companies. By negotiating through contracts vehicles, agencies can maintain visibility over the flow of data by learning if their information is being retained and for how long.

Saving Time with Generative AI

Some of the first generative AI models were built for translation machines such as Google Translate. Many services, such as Zoom, employ generative AI as plugins, which transcript language in real time for the appropriate audience.These models initially generated very verbatim translations, however, intent and context in communication is critical. Users often go to third party generative AI models to translate emails or web pages. They have more trust in their automation capabilities to understand and mirror context and intent in translation than the built-in translation services that many legacy software features offer.

Generative AI can help with drafting emails, broadcasting information, meeting deadlines and responding to agents, ultimately expediting processes. This can be especially helpful with overworked translators. While generative AI works to complete the main translations, the workers can focus on reviewing translations, expediting and perfecting the process. While there will ultimately always be a need for human interaction from a promotional, proofreading and understanding perspective, generative AI can speed up communication.

Generative AI can reduce the number of steps users take. By leading users from step A to step C, bypassing the difficult or time-consuming step B, generative AI keeps users on track. And for models trained on a SLED agency’s own data, users can always reference internal documents if questions arise. This scales back on the amount of busy work, reducing time spent on finding information. Generative AI can also expedite the synthesis of search data. In the past, search engines could locate documents for agencies. Now, agencies going through SLED records can not only find the document itself, but find the information within the document, and analyze that information before returning it to the user.

By accelerating the day-to-day tasks of employees, generative AI frees up creative minds to complete more vital, thorough and intricate projects, improving utility.

AI has been integral to Broadcom’s product solutions in user and enterprise IT. When properly implemented, generative AI can enhance technology, cybersecurity, analytics and productivity. To learn more about how Broadcom can help implement secure generative AI in SLED spaces, view Broadcom’s SLED focused cybersecurity solutions.