AI Agent Security
Definition
The discipline of securing autonomous AI agents that can take actions in production environments. AI agent security encompasses: protecting against prompt injection, preventing unauthorized tool use, validating function call parameters, enforcing least-privilege access, detecting anomalous behavior, and maintaining audit trails of all agent actions.
Why It Matters
AI agents are the first non-human entities with write access to production systems. Unlike human users, agents don't understand consequences, can't assess risk, and operate at machine speed. A compromised or malfunctioning agent can execute thousands of harmful actions before any human notices. Traditional security models (designed for human users) don't account for autonomous, high-speed, probabilistic actors.
How Exogram Addresses This
Exogram provides Identity and Access Management (IAM) for non-human entities. Every agent action is evaluated against 8 deterministic policy rules. SHA-256 state hashing prevents TOCTOU attacks. Cryptographic execution tokens ensure tamper-proof validation. Full audit trail for compliance.
Related Terms
Key Takeaways
- → AI agents are the first non-human entities with production write access
- → Traditional security models don't account for probabilistic, high-speed actors
- → IAM for agents is as critical as IAM for human users
- → Per-action governance is required, not per-session