Live session on October 07, 2026
9:00 a.m. EDT1 hour
As public sector organizations accelerate AI adoption, they are discovering that AI is both a powerful enabler of zero trust and a significant source of new cyber risk. While generative AI, machine learning and autonomous agents can automate asset discovery, policy creation and security operations, these same technologies can create unmanaged access paths, introduce opaque decision-making and expand attack surfaces if not governed as part of the zero trust framework.
Join this invitation-only, complimentary virtual briefing for public sector organizations as Gartner experts present a practical framework for balancing AI enablement with security assurance. Learn how to accelerate zero trust adoption with AI-powered automation, establish governance for AI agents as managed identities and reduce AI-related cyber risk through continuous adaptive trust, human oversight, model monitoring and explainability requirements. By integrating AI into zero trust strategies and applying robust governance, organizations can scale AI safely, advance zero trust maturity and align security investments with business outcomes. You will walk away from this session with actionable guidance and recommended actions to help you achieve your goals.
Learn how AI accelerates zero trust implementation through automation, continuous adaptive trust and intelligent policy management
Understand why AI agents must be governed as identities, applying least-privilege access, monitoring, auditability and human oversight to autonomous systems
Discover how to balance AI innovation with cyber resilience by using governance, explainability, vendor risk management and outcome-driven zero trust metrics
Return to this web page to watch the virtual briefing. Contact us at gartnervirtualbriefings@gartner.com with questions about viewing this virtual briefing.
Meet your hosts
Jay Phipps
Sr Director Analyst
Alain Kallas
Executive Partner