A comprehensive collection of security best practices for developing and deploying AI agents. Each practice is linked to specific attack vectors it helps mitigate.
AI agents process unpredictable, multi-step inputs—some of which can be malicious. Solution: Use robust input validation & context tracking to block unauthorized actions..
Protects Against:
Implement granular access control with time-limited permissions to minimize the potential damage from compromised AI agents. This includes automatic permission revocation and continuous monitoring of agent activities.
Protects Against:
When AI agents interact with critical systems or infrastructure, implement robust protection mechanisms to prevent unauthorized or dangerous operations that could lead to system damage or operational disruption.
Protects Against: