Autonomous AI agents require a layered security approach known as defense in depth to mitigate risks such as agent hijacking and data leakage. This strategy emphasizes the application layer, where developers control how agents are assembled and constrained within real applications, ensuring predictable behavior and controlled risk. Developers must implement patterns like least permissions and deterministic human oversight to secure these systems effectively.
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