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AI Security Policy and Governance

Practical rules, review paths and evidence requirements for using and shipping AI without turning governance into a bottleneck.

Scope
Five to six weeks · Built with your security and engineering leads
Built for
Organizations where AI adoption moved faster than the security process, and security is now expected to catch up.
Talk about your AI process
Animated governance process routing an AI use case through a policy decision and audit recordUse casePolicy gateDecisionAllowReviewBlockAudit recordTraceable rule01Use case02Policy gate03Decision04Audit record

What this service does

I turn scattered AI use into an operational security model: which use cases are allowed, what data can be used, when review is required, who approves exceptions and what evidence must be kept. The result is built around how your organization actually buys, builds and deploys AI.

The value

Teams can move without inventing security decisions from scratch, while security gains visibility, consistent gates and audit-ready evidence. The point is governance that accelerates acceptable use and stops high-risk use early.

How it runs

I build it with your security and engineering leads. The five to six weeks include understanding your business goals, your structure, the pressures you are under right now and how the organization actually behaves, because a policy written against none of that is a policy nobody follows.

I wrote about this

A2AS, a new standard for security in agentic AI systems

Questions this work answers

  • Which AI use cases, models, vendors and data are acceptable?

  • What review and approval are required at each level of risk?

  • What evidence proves that the agreed controls were applied?

What you get

04
  1. D/01AI security policy adapted to your real use cases, delivery process and risk tolerance
  2. D/02Clear rules for models, agents, sensitive data, third-party tools and approved exceptions
  3. D/03Risk-based review and approval path with ownership, escalation and evidence requirements
  4. D/04Control mapping to the NIST AI Risk Management Framework and ISO/IEC 42001 for audits and customer reviews

All services

Something already in production you are not sure about?

Tell me what you are building and what worries you about it. If it is not something I can help with, I will tell you that too.

Talk about your AI process
AI Security Policy and Governance | Ricardo N. Prieto | PhiloCyber