<div>The Federal government is increasingly leveraging and investing in both public and private AI models and applications to maximize efficiency. However, AI adoption raises critical concerns about safeguarding sensitive data and maintaining compliance.&nbsp; View the on-demand recording and discover how to:<ul dir="ltr"><li>Block AI Data Loss:&nbsp;Keep users and data secure when accessing public or private generative AI applications.</li><li>Prevent Attacks Against AI Systems:&nbsp;Implement policy to ensure comprehensive security.&nbsp;</li><li>Gain Visibility &amp; Control: Analyze AI usage trends and prompts to intelligently manage and secure sessions.</li></ul></div>

The Federal government is increasingly leveraging and investing in both public and private AI models and applications to maximize efficiency. However, AI adoption raises critical concerns about safeguarding sensitive data and maintaining compliance. View the on-demand recording and discover how to: Block AI Data Loss: Keep users and data secure when accessing public or private generative AI applications. Prevent Attacks Against AI Systems: Implement policy to ensure comprehensive security. Gain Visibility & Control: Analyze AI usage trends and prompts to intelligently manage and secure sessions.

On-Demand

Webinar / Webcast

Artificial Intelligence

Cybersecurity

Machine Learning

Federal Government

agency

Carahsoft Technology Corp.

Zscaler Government Team at Carahsoft

Chad Tetreault Public Sector CTO, AI Strategy, and Governance Zscaler&nbsp;Brett Lucas Director of Artificial Intelligence RavenTek

Securing Generative AI in Government: Enable Efficiencies and Protect Data

Speaker Details