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For Risk, Compliance and Audit

Harkaq answers the three questions an auditor will ask any company that uses AI agents: what did the agent see, what did it do, and who approved it. Every action goes into a hash-chained log, and the evidence report is one click away.

The questions no one wants to answer

A developer asks the agent to fix a bug. A public issue carries a hidden instruction. The agent follows it in the payments module. Someone approves the change on a Friday afternoon. Weeks later, it’s in production.

When the auditor or the regulator asks, the company has to be able to answer:

  • What did the agent see and what did it do?
  • Who approved it?
  • How do we prove it?

With agents as they ship, the answer is scattered across each developer’s laptop, if it exists at all.

What you gain with Harkaq

End-to-end traceability. Every session, outbound request, block and approval is logged with the person, the agent and the project.

Real segregation of duties. The requester never approves. Permissions are single-use and expire on their own, so forgotten access doesn’t pile up.

Least privilege for the agent. The agent holds no standing credentials and can only do what the project’s policy allows.

Change control over what AI produces. The agent’s code arrives identified and reviewed by someone else before production.

Evidence you can verify. The report isn’t a hand-written summary: it verifies the log’s integrity and states explicitly what it couldn’t verify.

Built for each country’s regulation

Regulators across the region already require privileged access control, audit logs, vendor management and change control over software. See how it applies in your country on our country pages.

Frequently asked questions

What does the evidence report include?

The period and cutoff, the log chain verification, anything pending or unknown, sessions by agent and person, blocks, approvals with requester and approver, and the agent’s changes that reached production.

Can the log be tampered with?

Each event is chained to the previous one, so deleting or changing one breaks the chain and the report shows it. In the cloud, the chain is anchored in storage that can’t be deleted or overwritten.

Where does the data live?

The company defines retention and deletion. The AI model is contracted in the customer’s cloud account and in the region they choose, where the provider allows it.

Try it with one of your teams

A pilot with a real team and repository, goals agreed before we start, and an evidence report at the end. You decide on results, not on a slide deck.