Service · BUILD
AI Governance & Security Program Build
Define AI security ownership, intake, control expectations, release conditions, evidence requirements, exception handling, and an owned implementation backlog.
Decision answered
What ownership, controls, workflows, evidence, and backlog are required to operate AI security coherently?
Duration
Typical duration: 4–10 weeks or retainer, depending on scope.
Primary output
AI Security Operating Model and owned implementation backlog
Best for
Organizations that need to turn fragmented AI policy and risk work into a security-operational program.
Engagement type
Scoped program build or retainer
What is in scope
- AI security ownership and intake
- Control expectations and release conditions
- Evidence requirements and lifecycle
- Exception, escalation, and risk decisions
- Owned implementation backlog and operating cadence
Inputs needed
- Current AI inventory and ownership context
- Security and governance policies
- Existing controls, findings, and evidence
- Relevant obligations and maintained framework mappings
What the work actually does
- AI security operating model, ownership, governance cadence, and evidence lifecycle
- Policy/control mapping across NIST AI RMF, ISO 42001, OWASP, MITRE ATLAS, and internal controls
- Secure AI SDLC program design, intake workflows, release gates, and decision records
- Fractional CISO/vCISO-style advisory module when leadership capacity is needed
What the work delivers
- AI Security Operating Model
- Control Ownership Matrix
- Release and exception workflow
- Evidence Lifecycle Plan
- Owned implementation backlog
Evidence produced
- Ownership and decision records
- Control and backlog relationships
- Release and exception conditions
- Evidence requirements and review cadence
Boundary
What this engagement does not establish
- Vague policy-only governance consulting
- A framework-compliance determination
- Certification or conformity assessment
- Proof that a mapped control is implemented or operating effectively
After the engagement
Execute the owned backlog, operate intake and exception workflows, collect control evidence, review material changes, and update priorities through the program cadence.
Optional deliverables: AI Governance Evidence Matrix, AI Security Program Scorecard baseline, Claim-Readiness Matrix. Selected according to engagement scope.
Supporting Workbench capabilities
Selected according to scope.
The engagement outcome and evidence are the deliverable. These AI Security Workbench capabilities support the work where they add value; their presence here does not mean every engagement uses all of them.
Program Blueprint
Structure owners, controls, dependencies, backlog, evidence requirements, and retest conditions.
Evidence System
Preserve findings, decisions, remediation, exceptions, and evidence lifecycle state.
AI Security Program Scorecard
Provide a directional baseline of ownership, control coverage, evidence gaps, and priority work.
Delivery / subject-matter leads
Adjacent services
Choose by the decision you need to make.
SELL
AI Security Sales Enablement
What AI security claims can the company safely make, and what evidence can support buyer review?
LAUNCH
AI Launch Security Review
What must be fixed, accepted, or evidenced before this AI feature ships?
ASSESS
AI Product Security Assessment
What are the material security paths, control gaps, and remediation priorities across this AI product?