Guide
The Agentic AI Security Toolkit
Strengthen your security posture against emerging AI risks with a practical threat-modeling framework designed to protect your identity and devices.
As an IT leader, you are under constant pressure to balance innovation with security while working with limited resources and heightened expectations. The rise of agentic AI systems introduces new risks that traditional security playbooks do not fully address.
This guide translates the Cloud Security Alliance’s research into a practical, interactive resource that helps you identify risks faster, strengthen your security posture, and make smarter decisions about where to focus your team’s efforts.
Even if you are not building agentic AI today, the principles inside will sharpen how you approach IT security more broadly, from managing identity and devices to unifying your overall IT strategy.
About the author
This guide was authored by Nate Lee, co-author of Secure Agentic System Design: A Trait-Based Approach and an active contributor to the Cloud Security Alliance’s research on securing AI systems. Nate brings deep expertise in threat modeling, applied security frameworks, and practical implementation patterns that bridge the gap between academic research and real-world IT environments.
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