Department · Compliance / GRC

Prove how autonomous work is governed

Turn agent policies and actions into reviewable controls, evidence, and accountability.

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The problem

Compliance teams need more than an activity log. They must show who authorized an agent, which controls applied, whether approvals were obtained, what data was accessed, and how policies changed over time.

When agent logic is distributed across prompts, code, integration settings, and service accounts, producing this evidence becomes a manual investigation.

Agentic Fabriq centralizes the controls governing agent activity and records the context surrounding each decision.

The stakes

Why this is hard today

  1. 01The rules governing an agent are scattered across prompts, code, and integration settings — collecting evidence means reading all of them.
  2. 02Your logs show what the agent did, but not which control applied or whether the required approval ever happened.
  3. 03Someone edits a prompt and the policy has effectively changed — with no record, no review, no version history.
  4. 04Every application needs its own evidence pull at audit time, multiplied across every system agents touch.
Capabilities

How Fabriq helps compliance and GRC teams

Map agent capabilities to internal controls and risk categories.Each capability an agent holds maps to your control framework — SOC 2, SOX, ISO 27001, or your own — so coverage and gaps are visible before an auditor asks.
Define which actions require approval, separation of duties, or additional review.Control requirements become executable policy — the workflow physically cannot skip the approval the control mandates.
Preserve records of policy changes, approvals, exceptions, and agent actions.The evidence trail includes not just what agents did but how the rules governing them evolved and who signed off.
Show which user and agent authority applied to each event.Every event resolves to a person and an agent identity, closing the “who actually did this” gap automation usually opens.
Demonstrate that restricted data and actions were evaluated before access.Policy decisions are recorded per request, proving the check happened — not just that access was theoretically restricted.
Produce evidence across multiple applications from a single policy layer.One export covers agent activity in every connected system, replacing per-application evidence pulls.
Review high-risk agents before they move into production.A promotion gate lets compliance examine an agent’s capabilities and policies before it touches real data or customers.
In practice

Example workflows

approval: human approval

Demonstrating that payment creation and payment approval were performed under separate authority.

The record shows two distinct identities behind the two steps, satisfying separation-of-duties evidence with a single query.

logged

Reviewing every agent that can access regulated or confidential data.

Filter the inventory by data classification to list every agent touching regulated records, with owners and purposes attached.

approval: human approval

Producing evidence for an audit of automated customer communications.

Every automated customer communication carries its policy decision and approval history, ready for the audit request.

approval: human approval

Tracking policy exceptions granted to a business-critical agent.

Exceptions are recorded with scope, approver, and expiry, so a business-critical waiver never becomes a permanent blind spot.

Business value

Less manual evidence collection, clearer control ownership, and policies that remain enforceable as agent adoption expands.

Questions

Common questions

Related solutions

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