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Thanks to powerful reasoning models, AI agents are making more nuanced decisions and interacting more effectively with their environments. At the same time, AI researchers continue to develop more dedicated agentic AI frameworks and platforms. These platforms enable a wider range of organizations to leverage the power of autonomous agents. The combination of advanced reasoning models and readily available agentic frameworks creates a perfect storm for widespread enterprise adoption.

This publication from the CSA AI Technology and Risk Working Group addresses the unique security challenges of agentic AI. As AI transitions from passive tools to autonomous decision-makers, traditional security frameworks struggle to contextualize these new risks. Instead, we need a trait-based approach to agentic system security that identifies fundamental patterns in agent behavior and their associated vulnerabilities.

By mapping security concerns directly to architectural choices, this guidance enables system designers to integrate security into the earliest stages of the design. Following this roadmap will allow designers to securely build our autonomous future.