A GRC for Agentic Organizations

As organizations hand real work to AI agents, governance has to move at the same speed. AI Risk Guy is a GRC platform designed for that world — regulations, risks, and controls as living data, not static documents.

Top features

A high-level look at what the platform does across the AI GRC lifecycle.

Regulation & statute catalog

AI laws and regulations tracked by jurisdiction, with obligations kept current as the landscape shifts.

Risk & treatment library

AI risk domains mapped to concrete treatments — from bias testing to oversight and disclosure.

Framework crosswalks

One control, mapped across NIST AI RMF, ISO 42001, and regulatory sources — author once, satisfy many.

Framework-agnostic engine

A single lifecycle — canonical floor to profile, assess, remediate, report — with framework-specific data.

Scoping & profiles

Determine what applies to you, then resolve a current-state profile you can actually act on.

Continuous monitoring

Evidence stays in your boundary; only signed manifests flow up. Privacy-first by default.

Built for

GRC & compliance leadersChief AI Officers (CAIOs)Security & risk teamsSMB and mid-market enterprises adopting AI

Legacy GRC wasn't built for AI

Traditional GRC tooling assumes a slow, framework-at-a-time world. AI breaks those assumptions.

  • Regulations change continuously — spreadsheets and annual reviews fall behind immediately.
  • Every framework is managed in a silo, so the same control is re-authored again and again.
  • Documents describe compliance instead of a program you can actually operate.
  • AI-specific risks — bias, hallucination, misuse — have no home in legacy control sets.

Why AI Risk Guy is different

We treat governance as living data and automate the busywork.

  • Regulations, risks, and controls are versioned data that stays current — not static PDFs.
  • Author a control once and crosswalk it across every framework and regulation.
  • A framework-agnostic engine drives one lifecycle: floor → profile → assess → remediate → report.
  • AI-native from the ground up, by a team that builds and audits AI systems.

See it applied to your AI program

Tell us what you're building and where you need to be compliant. We'll show you how AI Risk Guy turns that into a managed program.

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