AI Governance and Risk
Enterprise AI governance and risk oversight is needed, as AI agents act with enterprise authority across systems, models, and data, although most leadership teams cannot say who owns them or what risk they carry.
Fortytwo help you establish an enterprise AI governance framework that gives the CISO and leadership clear ownership, risk visibility, and control over all AI workloads, aligned to NIST AI RMF and ISO 42001.
The Challenge
Authority without oversight.
Agents, models, and data pipelines proliferate without a risk owner.
Each agent is a non-human identity acting with enterprise authority, and most are unaccounted for. It’s not uncommon to lack a single inventory, risk tiering and an approval record that work in an operational reality. A document on a shelf is not the same as having an operating model.
The Solution
Operational governance.
Fortytwo helps you:
What We Deliver
Key Outcomes:
The CISO has a current inventory of all AI workloads with estimated risk exposure, and existing AI agents are assigned a named owner, a risk tier, and an approval record. The controls map demonstrates readiness for compliance with NIST AI RMF and ISO 42001, while the governance operating model is fully operational rather than simply documented.
AI Governance Framework
A governance framework and policy set, with an acceptable use policy and agent deployment approval process.
Risk Register and Controls Map
An AI risk register model, agent, data, and third-party risk, with controls mapped to NIST AI RMF and ISO 42001.
AI Inventory & Classification
A register of all AI workloads, agents, and models, classified by autonomy, data sensitivity, and business criticality.
Governance Operating Model
Defined roles (CISO, AI Risk Owner, Data Owner, Agent Owner), review cadence, audit triggers, and board reporting.
How It Works
It starts with a current-state discovery where we assess your environment, identify gaps, and define next steps for governance, identity, and architecture. Your AI estate is catalogued and risk-tiered, and a risk register is built where controls are mapped to NIST AI RMF and ISO 42001.
We define the operating model with an overview of who’s responsible for what, including a board reporting format.
Governance becomes a cadence, with review triggers and human-in-the-loop thresholds for high-risk agent actions.
Related Services
FAQ
Business and technical owners nominated for your AI agents, access to your AI estate and existing risk framework, and participation in design workshops.
This is the enterprise framework: inventory, risk tiering, controls mapping, board reporting, aligned to NIST AI RMF and ISO 42001. The day-to-day registry and lifecycle controls live in Agentic ID and Agent 365.
Yes, as in-scope regulatory obligations alongside NIST AI RMF and ISO 42001. The applicable set depends on your sector, which we confirm up front.
We help you define human-in-the-loop requirements and approval thresholds for high-risk actions as part of the controls and policy work.
Talk to Us
Get in touch if you want to discuss your challenges or questions.
Let’s give every agent ownership, a risk tier and an approval record.
Harri Jaakkonen
Principal Security Engineer
oi.owtytrofobfsctd-48a17c@nenokkaaj.irrah
Ownership, risk tier and approval record for every agent.
