Keys in the agent’s pocket.
An agent that holds a credential can do everything the credential can. Access decides what it can reach, not what it should do.
Governed AI agents for regulated industries
Agents, leashed: governed AI agents for regulated industries
Free to work. Not free to go rogue.
- 0 credentials
- Every action verified
- 7-year record by default
- Healthcare · Insurance · Financial services
Unleashed
Unleashed is how agents incidents start.
Most agents are one service account away from doing anything. That is not autonomy. It is exposure.
Rules beside the path, not in it.
A policy in a document or a dashboard is read after the action. By then the email has gone.
No answer when audit asks.
What did the agent do, for whom, and who said yes? Logs stitched together after the fact are a guess.
The fix is not a weaker agent. It is a leash.
How AI agent governance works
Every action goes through Difinity first.
Your agent never connects to your systems directly. It sends each request to Difinity, which checks it and carries it out only if it’s allowed.
- 01
Every request passes three checks.
Before anything runs, Difinity asks whether it’s part of the agent’s job, whether the person it works for is allowed to do it, and whether your company’s rules allow it. If any answer is no, the request is blocked.
- 02
The agent never has your passwords.
Difinity holds the passwords and access to your systems. The agent can request an action, and Difinity carries it out only if it’s allowed.
- 03
Every change is checked.
Sending a message, making a payment, updating or deleting a record: anything that changes something is checked every time, however the agent was set up.
- 04
Unclear cases go to a person.
When Difinity can’t decide, the request goes to the person authorised to approve that action. They see the full details and approve or decline it, and an approval covers that one action only.
PII protection
Personal details stay hidden from the AI.
Names, card numbers and email addresses are replaced with placeholders before the AI reads a request. The real details are filled back in only when the action runs.
Audit trail
A permanent record of everything the agent does.
Each request, check, approval and result is recorded as it happens. Entries can’t be edited, and they’re kept for seven years by default.
- Helps with EU AI Act and ISO/IEC 42001 reviews
- Stores placeholders instead of personal details
- Marks the agent’s explanations as unverified
From pilot to production
Start with one job and expand from there.
- 01
Pick one job
For example, answering claims questions or sending status updates.
- 02
Choose its tools
Give it only the tools that job needs. Nothing is switched on by default.
- 03
Let it work
Your team uses it in the Difinity workspace or inside your own app, with the same checks either way.
- 04
Review the record
Check what it did and anything that was blocked or sent for approval.
- 05
Expand
Add more tools or tasks once you’re comfortable with how it performs.
Healthcare
Patient service help that can work without seeing patient names.
Insurance
Claims help that checks every payout against your rules.
Financial services
Onboarding help with every step, decision and sign-off on one record.
For your teams
What each team gets.
IT
Put agents to real work without a fresh security review for every tool.
Security
The agent never holds passwords, and every change is checked before it happens.
Compliance
A record that helps with EU AI Act and ISO/IEC 42001 reviews.
The business
Routine work gets done, and exceptions go to the right person.
AI agent governance FAQ
Common questions.
Will this slow my agents down?
Very little. Look-ups aren’t reviewed unless you set a rule for them. Actions that change something are checked every time, and only unclear cases wait for a person.
Can an agent give itself more power?
No. What an agent can do is fixed when its version is approved. Adding anything new means a new version and a new review.
What happens when Difinity can’t decide?
Anything that changes something goes to a person. Difinity can stop an action or ask someone, but it can never allow something your rules said no to.
What is AI agent governance?
AI agent governance is the system of identities, permissions, policies, data controls and run evidence that determines what an agent may do and records what it did. Difinity puts those controls in the execution path, so governance changes agent behaviour during a run instead of only reporting on it afterward.
How is AI agent governance different from traditional AI governance?
Traditional AI governance often focuses on models, data, risk assessments and lifecycle oversight. AI agent governance must also control runtime authority: which systems and tools an agent can use, what data it can access, which actions it can take and when it must stop or escalate.
How do enterprises control what an AI agent can do?
Enterprises control AI agents by giving each one a defined job, a distinct identity and least-privilege access to approved systems, data and actions. Difinity evaluates authority action by action as the agent works, then blocks or routes anything outside the permissions and organisational policies that apply to that run.
How do you protect sensitive data and PII during an agent run?
Protect sensitive data before it reaches the agent or an external model. Difinity can detect and redact configured PII in the governed execution path and record which protections were applied. Coverage depends on the data paths and controls configured for that agent.
Do AI agents need human approval for every action?
No. A governed agent can complete lower-risk actions autonomously within explicit boundaries. Difinity evaluates authority and policy at execution time, then routes exceptions or higher-risk actions to human review without allowing the agent to decide its own authority.
What should an AI agent run trail record?
An AI agent run trail should record the agent identity, the assigned job, the connector, tool and arguments it proposed, the gateway decision, any approval asked for and answered, whether the action ran or failed, the kind of value each redaction replaced, and the run outcome. Difinity keeps these events in one accountable run record for investigation, review and compliance evidence.
How do you move an AI agent safely into production?
Start with one bounded job and a short list of approved tools. The agent holds no credentials. Every effectful action it proposes is judged before the tool gateway acts, and a read-only tool is judged where a rule or posture is configured for it. Inspect the evidence from each run, then expand authority from observed behaviour instead of granting broad production access upfront.
How does AI agent governance support the EU AI Act and ISO/IEC 42001?
AI agent governance can produce the traceability and operational evidence needed for regulatory and management-system reviews, but it does not by itself make an organisation compliant or certified. Difinity packages agent identity, policies, data handling, actions and outcomes into evidence that can support EU AI Act and ISO/IEC 42001 review workflows.
Does Difinity replace our existing systems or agent framework?
No. Difinity is designed for agents that act across approved enterprise systems and tools without replacing the systems of record they rely on. Teams can build and run agents on the platform while applying governance to the data and actions involved in each job.
Put your first agent on a leash.
Bring one job you’d like an agent to do. We’ll set it up with you and show you the record.