Securing Agentic AI: Trust and Control from Day One
Agentic AI is moving from controlled experiments into live enterprise environments. Autonomous systems are now making decisions, initiating actions, and operating at machine speed, often outside the visibility and control models security teams rely on today.
In CyberEd.io’s upcoming fireside chat, Josh Woodruff and Michelle Savage, authors of Agentic AI + Zero Trust, join John Kindervag, creator of the Zero Trust model, to discuss how organizations can secure agentic AI systems without slowing innovation. The conversation focuses on why trust and control must be designed in from day one as autonomy increases.
This session brings together senior technology leaders to explore how mid-sized companies are tackling risk, compliance, and strategy without dedicated security executives.
The discussion will cover:
- Agentic AI failures and risk patterns in true operational environments and why legacy security and governance models fail when systems act autonomously
- How Zero Trust principles extend to agentic environments and inform an Agentic Trust Framework for governing identity, intent, and behavior
- What security built in from day one looks like in practice, from design and deployment through monitoring and accountability
Viewers will gain a practical understanding of how to assess agentic AI risk, align stakeholders on trust and control, and apply proven security principles before agentic failures become public lessons.