Practical guidance on securing AI agents, tools, and the systems they act on, written by the team building the trust layer for AI agents.
A CISO's AI security questions should focus on inventory completeness, enforcement consistency, evidence quality, and whether existing programs actually cover agents.
A CTO does not need to review AI security code directly, but should be able to get a specific answer to a short set of pointed questions from any team building it.
A pre-production AI review should check data access, tool authority, failure behavior, and monitoring readiness, with specific questions rather than a general sign-off.
Most AI security architecture mistakes come from trusting the model as a boundary, sharing credentials across tools, and skipping authorization on retrieval.
Defining acceptable AI behavior means writing rules specific enough to enforce in code, not general values that a model interprets differently every time.
Security teams should log identity, policy decisions, tool calls, and outcomes for AI activity, not raw prompts by default, to avoid turning logs into a liability.
An audit trail turns "we think this is what the agent did" into a verifiable record, which is what actually matters during an investigation or a compliance review.
Policy enforcement turns written AI security rules into decisions applied consistently at runtime, closing the gap between a document and what an agent actually does.
Enterprise AI security works best as a federated model, a small central team setting standards and tooling while product teams own their own agents' risk.
A startup shipping AI features should protect tool authorization, data access, and customer data first, before investing in monitoring maturity it cannot yet staff.
An AI security program needs an inventory, clear ownership, layered controls, and a monitoring loop, built incrementally rather than launched all at once.
Once an AI system can act instead of only answer, its risk profile shifts from bad text to real consequences, and the controls that matter shift with it.
