Webinar Description
Key Takeaways
- Focuses on securing autonomous AI agents within Zero Trust security frameworks
- Presents a five-stage model for AI agent security with live demonstration
- Includes analysis of a real-world breach example through the security model
- Designed for CISOs, security architects, and IAM teams in mid-to-large enterprises
- Addresses continuous verification and just-in-time access for machine-speed operations
About the Event
This webinar from Delinea examines the security challenges that arise when organizations deploy autonomous AI agents. Led by Lance Haig from Delinea StrongDM, the session provides a live demonstration of the controls required to enable AI agents safely without compromising operational efficiency. The presentation introduces a five-stage model for securing AI agents and applies this framework to analyze a real-world breach scenario.
Zero Trust and AI Agent Governance
The session addresses how Zero Trust principles apply to autonomous AI agents, covering least privilege enforcement, continuous verification, and just-in-time access. As AI agents operate at machine speed, traditional access controls may prove insufficient. The webinar explores practical frameworks for detection, assessment, and authorization of AI-driven activities, with particular attention to continuous authorization as agents interact with enterprise systems.
Security Challenges Addressed
Organizations adopting AI agents face specific risks around privilege misuse and identity security. The event provides guidance on assessing current security posture regarding AI agent usage and implementing controls that prevent unauthorized access while maintaining the operational benefits of automation.
Who Should Attend
This webinar is suited for IT security professionals, solution engineers, CISOs, security architects, and identity and access management teams. It is particularly relevant for those in regulated industries or organizations with advanced digital transformation initiatives who are deploying or evaluating autonomous AI agents.