Services
AI Security Operating Model
Turn AI governance into inventories, controls, ownership, evidence, and operating rhythm.
Practical governance implementation for organizations adopting ISO 42001-aligned, NIST AI RMF-style, internal AI policy, or enterprise assurance expectations. This is not an audit service; it translates governance expectations into inventories, risk tiers, controls, ownership, evidence, approvals, monitoring, and backlog.
Best for
CISO, CTO, Security Architecture, AI Governance Lead
Engagement model
project
Duration
4-8 weeks
Deliverables
4 deliverables
What it covers
AI system inventory and risk tiering
Control, policy, and evidence baseline
Approval workflow and model/vendor review process
Eval, monitoring, and governance backlog
Use when
Related people
David Wolf
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James Traynor
Builds defensive controls, AI-first training, and practical vendor-aware workflows.
Related proof
Start here
Scope this review through discovery, then translate the result into engineering work, buyer-ready evidence, or a follow-on engagement.
Canonical route: /services/ai-governance-control-plane