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What is AI agent security?
AI agent security is the set of controls that determine who an autonomous agent is, what it is allowed to do, how consequential actions are authorized, and how incidents are investigated, contained and recovered.
Why AI agents need a runtime security boundary
AI agents can call APIs, use tools, move data and trigger real-world workflows. Prompt instructions alone are not an authorization system. Security controls should sit at the execution boundary before a consequential side effect occurs.
Identity and least-privilege authority
Each protected agent should have a verifiable runtime identity and an explicit authority scope. The scope should describe the resources and actions that agent may request instead of granting broad ambient access.
Allow, deny and require human approval
A runtime authorization layer can allow actions inside policy, deny actions outside authority, or require approval from an authorized person before sensitive execution continues.
Evidence, incident response and recovery
Security decisions should create attributable evidence. When something goes wrong, teams need to reconstruct what happened, determine affected authority, contain the relevant agent or credentials, remediate the cause and control safe restart.
Where Nodra fits
Nodra provides a deterministic security boundary for autonomous AI agents without replacing the model or orchestration framework. It combines runtime authorization, human approval, tamper-evident evidence, containment and recovery.
Explore AI agent authorization