vCISO

Virtual AI CISO & Program Strategy

Fractional leadership and program design for organizations that need to govern AI without slowing product teams to a halt. We translate AI risk into ownership, evidence, customer assurance, hiring architecture, and quarterly execution.

Leadership

AI risk needs an operating owner

We help define who owns AI security, how decisions are made, and how exceptions, approvals, vendors, product reviews, and incidents move through the business.

Evidence

Governance must leave artifacts

Policies are not enough. We map AI governance obligations to evals, telemetry, approvals, review records, tickets, audit trails, and customer-facing evidence.

Talent

Stop hiring the impossible unicorn

We turn vague AI security hiring demand into role archetypes, realistic reqs, interview loops, validation rubrics, and first-cycle calibration.

Ongoing leadership

Fractional AI security leadership

Operating model

Turn AI risk into execution ownership

Flagship

EvidenceAvailable

evidence_pack

AI Security Sales Enablement

Turn existing security architecture, controls, testing, remediation, and evidence into defensible answers for customer and procurement review.

Decision answered

What AI security claims can the company safely make, and what evidence can support buyer review?

Best for

B2B AI companies and product teams repeatedly answering enterprise security and procurement questions.

•Buyer FAQ
•Questionnaire answer bank
•Model and provider boundary statement
•Claim-readiness notes

Duration: Typical duration: 1–4 weeks, depending on scope.Primary output: Approved buyer security narrative, answer bank, and evidence index

View service Build Buyer-Ready Security Evidence See people fit View evidence

Flagship

MapAvailable

diagnostic

Expert-Led AI Security Program Baseline

Establish a directional, analyst-reviewed baseline of AI security ownership, control coverage, evidence gaps, and priority work.

Decision answered

Where should the AI security program start, and which ownership, control, and evidence gaps need priority work?

Best for

Leaders who need a bounded starting point before funding a larger assessment or program build.

•AI security maturity scorecard across product, engineering, governance, and evidence
•Control coverage snapshot, gap heatmap, and priority findings
•30/60/90 roadmap for the next paid engagement or program push
•Buyer, board, or executive summary with careful claim language

Duration: Typical duration: 1–3 weeks, depending on scope.Primary output: Analyst-reviewed AI Security Program Scorecard baseline and prioritized roadmap

View service Establish the Program Baseline See people fit View evidence

Flagship

EvidenceAvailable

program_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?

Best for

Organizations that need to turn fragmented AI policy and risk work into a security-operational program.

•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

Duration: Typical duration: 4–10 weeks or retainer, depending on scope.Primary output: AI Security Operating Model and owned implementation backlog

View service Scope the AI Security Program See people fit View evidence

Evidence and hiring

Governance evidence and role architecture

Executive positioning

Board, customer, and audit narratives that survive scrutiny

AI governance cannot be a vague slide about responsibility. A credible executive narrative ties real product behavior to controls, telemetry, ownership, exceptions, vendor decisions, and remediation evidence. The vCISO services are designed to make that story true before you need to tell it.

Typical workstreams

· AI risk register and quarterly roadmap
· Customer assurance and questionnaire support
· Vendor, model, and provider risk review
· Product review and launch readiness
· Hiring architecture and team capability planning

Need a technical review instead of an ongoing retainer? Start with the AI product security architecture review or the agent control-plane review.

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Handbook

Turn the findings into field practice

The AI Security Engineer’s Handbook translates the report into checklists, labs, scorecards, and evidence templates.

View handbook

Part of AI Security Services

Engagement models

Every engagement model is consulting-led AI security work, scoped to where you are. Browse the full services catalog or see pricing & packages.

Scope an engagement

Pick a red-team, blue-team, or governance engagement and get a tailored proposal.

Open

Enterprise programs

Multi-team AI security programs, training at scale, and embedded advisory.

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$0 services retainer

Sign a no-cost framework so future scoping, NDA, and activation move faster.

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