Agent identity and purpose
Record which agent acted, the job it was assigned, and the accountable owner behind the deployment.
EU AI Act evidence for governed agents
Make every agent run easier to review
Apply authority, policy, and sensitive-data controls while the agent works. Retain identity, policy results, actions, and outcomes as evidence for your wider EU AI Act review process.
Identity·Policy results·Data handling·Action evidence
The Review Problem
Policies on Paper Do Not Explain What an Agent Did
The EU AI Act uses a risk-based framework and places obligations on certain systems, including risk management, activity logging, documentation, and human oversight. The exact duties vary by system and by the organisation's role.
When agent identity, permissions, policy results, data handling, and business-system actions live in separate logs, teams still have to reconstruct the story after the event. One governed run record makes the operational evidence easier to inspect and use.
What Difinity Contributes
Agent-Level Evidence From the Execution Path
Authority and policy results
Show the access and actions approved in advance, the policies evaluated during execution, and any block or escalation.
Sensitive-data handling
Record which configured data protections were applied and where protected information was prevented from flowing.
Actions and outcomes
Keep attempted actions, system responses, fallbacks, human review, and the final outcome in one run record.
A Controlled Evidence Path
Define, Enforce, Record, Review
01
Define authority
Set the agent's job, identity, approved systems, data, and actions.
02
Enforce during execution
Apply permissions, organisational policy, and sensitive-data protection while the agent works.
03
Record the run
Capture attempts, policy results, blocks, fallbacks, human decisions, and outcomes.
04
Use the evidence
Bring the run record into the organisation's legal, risk, audit, and compliance review process.
Important Boundary
Evidence Supports Compliance. It Does Not Declare It.
Difinity does not certify that an organisation or AI system complies with the EU AI Act. It provides controls and operational evidence for governed agent runs. Your legal and compliance teams determine how that evidence fits the obligations that apply to your system.
Questions
EU AI Act and Agent Governance
No. Compliance depends on the organisation, the AI system, its role under the Act, and the obligations that apply. Difinity can provide agent-level controls and operational evidence that support legal, risk, and compliance review.
A governed run can contribute traceability about identity, assigned purpose, policy results, data handling, attempted actions, blocks, human review, and outcomes. The required evidence package depends on the system and the organisation's obligations.
Difinity can route exceptions or higher-risk actions to human review and retain the review decision in the run record. The organisation remains responsible for designing an oversight process appropriate to the system and its legal obligations.
No. Obligations depend on factors including the system's purpose, risk classification, and whether the organisation is acting as a provider, deployer, importer, or distributor. Legal assessment remains necessary.
Start With One Agent and One Evidence Path
Bring the job, systems, data, and actions involved. See how a governed run can produce evidence your review teams can use.
Also explore
ISO/IEC 42001 Evidence for Governed Agents