RESEARCH

AI agent security through the lens of Cyber Immunity

AI agents are rapidly entering corporate environments — bringing new opportunities, but also new risks. This research explores how Cyber Immunity principles can be applied to AI agent architectures to help organizations build more secure, resilient and trustworthy AI ecosystems.

Key risks

Understand the main security risks of AI agents.

Real-world insights

Explore recent incidents and threat models.

Practical guidance

Learn how to apply Cyber Immunity principles to agentic systems.

Actionable recommendations

For CISOs, CIOs and CTOs driving secure AI adoption.

ABOUT THE RESEARCH

From risks to resilient AI agent architectures

This research provides a comprehensive overview of the security challenges and design principles for AI agents, with a focus on how Cyber Immunity can help reduce risk while preserving the benefits of agentic AI.

Security risks and attack vectors for AI agents

Real-world cases and emerging threat models

Cyber Immunity principles for agent architectures

Recommendations for secure and responsible deployment