AI inventory and ownership
Organize connected AI systems and agents around accountable owners and documented use cases.
Platform / Governance & evidence
Make AI activity accountable.
Connect your AI policies to operational records. Help security, risk and compliance teams see how AI is used and how controls are applied.
The challenge
A written policy needs an operational record.
When a review starts, teams need to establish which AI systems are in use, who is responsible and how decisions were controlled. Bringing activity and policy evidence together makes those questions easier to answer.
Discuss your environmentYour controls
From policy to everyday practice.
Policy decision records
Review the rules applied to AI activity, including interventions and approval decisions.
Evidence for reviews
Use operational records to support internal risk assessments, customer security reviews and audit preparation.
Shared oversight
Give technical and governance teams a common record to investigate issues and improve company policies.
An example in practice
Your risk team reviews an AI workflow.
Illustrative workflow. Controls depend on your configuration.
- 01
Request
Reviewers need to understand how a customer-facing assistant handles sensitive requests.
- 02
Policy check
The team reviews system ownership, configured controls and recorded policy decisions.
- 03
Outcome
Operational evidence supports the review and highlights areas needing further work.
Deployment
Start with a defined scope.
Agree on the systems, owners and review requirements in scope.
Connect relevant activity and establish policy decision records.
Review evidence with the teams responsible for risk and compliance.
AgentID supports governance and evidence collection. Regulatory compliance and certification depend on your organization’s complete processes and assessment.
Let’s talk AI security
Take control of AI in your business.
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