Enterprise AI Agents: Governance, Security, and Compliance

Enterprise AI agents must be governed like any critical production system with defined ownership and measurable outcomes.

Security begins with least-privilege access and strict identity management. Agents should never receive raw credentials and must operate through controlled APIs.

Data protection requires minimizing context, redacting sensitive information, and applying retention policies to logs and transcripts.

Reliability comes from structured outputs, evaluation datasets, and guardrails that prevent unintended actions or runaway loops.

Adoption depends on transparency, clear escalation paths to humans, and visible audit trails that explain agent decisions.