28 point compliance checklist for shipping AI agents into enterprise environments
28 point compliance checklist for shipping AI agents into enterprise environments

28 point compliance checklist for shipping AI agents into enterprise environments

We keep getting the same question from teams trying to close enterprise deals. What do we actually need to pass a security review?

So we compiled the checklist. 28 items across 6 categories, each mapped to at least one framework (EU AI Act, SOC 2 Type II, ISO 42001, or NIST AI RMF).

Quick summary

Logging (6 items) - log every prompt/response with timestamps, capture the full decision chain (not just input/output), retain for 6+ months, make logs tamper-evident. Most teams fail here first because compliance logging is different from developer logging.

Access control (5 items) - auth on every endpoint, RBAC, scoped API keys, credential rotation, failed auth tracking. We still see unauthenticated agent endpoints in production more often than you'd think.

Data handling (5 items) - classify what flows through your agent, scan outputs for secret leakage before they reach users, document your processing pipeline, handle data residency for EU customers.

Security testing (5 items) - adversarial testing before every release, document methodology and results, maintain a vulnerability disclosure process, track dependencies, test MCP/tool integrations separately.

Runtime protection (4 items) - input scanning on every message, anomaly detection, rate limiting, and a kill switch that gets you to zero traffic in under 60 seconds.

Incident response (3 items) - AI-specific IR plan, severity levels for agent incidents, and actually practicing your response with tabletop exercises.

For most early-stage products, items 1-11 and 17-18 unblock enterprise deals fastest. If SOC 2 is your priority, start with logging and access control. If targeting EU markets, focus on retention and adversarial testing documentation.

submitted by /u/Still_Piglet9217
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