Services

AI Security Operating Model

Turn AI governance into ownership, controls, review gates, and evidence flow.

Practical operating-model work for organizations adopting AI governance, ISO 42001-aligned expectations, NIST AI RMF-style practices, internal AI policy, or enterprise assurance requirements. It translates governance into inventories, risk tiers, controls, owners, approvals, monitoring, incident paths, metrics, and backlog.

Scope operating model Back to services

Best for

CISO, CTO, Head of Security, AI Governance Lead

Engagement model

project

Duration

4-8 weeks

Deliverables

4 deliverables

What it covers

AI system inventory, risk tiering, and ownership model

Control baseline, policy workflow, and approval gates

Evidence lifecycle, monitoring expectations, and incident paths

Executive reporting, operating rhythm, and governance backlog

Use when

CISOs and CTOs standing up AI governanceAI-native companies that need repeatable review gatesTeams where governance exists on paper but not in engineering workflow

Related people

David Wolf

Builds operating models, controls, detection, and evidence layers for enterprise AI adoption.

Dorina Miroyannis

Maritime lawyer and business leader

Laurie Myers

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James Traynor

Builds defensive controls, AI-first training, and practical vendor-aware workflows.

Related proof

AI Product Security Control Plane

Confidential AI-Native Product Team

AI Governance Controls with Garak, NeMo Guardrails, Presidio & Promptfoo

Confidential AI Governance Program

The State of AI Security Engineering Report 2026

AI Security LLC

Start here

Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.

Scope operating model

Canonical route: /services/ai-governance-control-plane