Securing Agentic AI in Practice: A Customer Case Study on Policy-Driven Protection

As organizations adopt Agentic AI to automate increasingly complex tasks, ensuring secure and trustworthy interactions between AI agents and data systems is more critical than ever. But what does securing Agentic AI look like in the real world?

Join Kobi Gol, VP of Product and Vladi Berger, VP of Solutions Engineering for an in-depth look at how one forward-thinking enterprise tackled the challenges of securing Agentic AI through a robust, policy-driven approach to authorization and access control. This session will feature a detailed customer case study illustrating how they identified key risks, implemented dynamic, fine-grained authorization policies, and aligned their architecture with zero-trust and identity-first security principles.

We’ll walk through the lifecycle of their AI deployment – from initial threat modeling to policy design and enforcement – and highlight lessons learned along the way. You’ll gain insight into how real-world organizations are securing autonomous AI systems without sacrificing innovation or agility.

Whether you’re building your first Agentic AI system or looking to fortify existing deployments, this webinar will equip you with practical guidance and proven strategies for securing the future of intelligent automation.

Register Here: Bitly | bit.ly/4krNo1g