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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

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
MapAvailable

diagnostic

AI Security Maturity Benchmark

A fast diagnostic of product, engineering, governance, evidence, and AI-security maturity. It gives leaders a lower-friction first artifact and a prioritized path into deeper assessment, red-team, hardening, sales enablement, or operating-model work.

Outcome

5 deliverables

Best for

CISO, CTO, Security Program Lead, AI Governance Lead

  • 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: 1-3 weeksScoped in discovery call
Flagship
EvidenceAvailable

evidence_pack

AI Security Sales Enablement

A workshop-first evidence sprint for AI-enabled products, designed to help sales, SE, product, legal, and security teams answer enterprise AI-security questions without improvisation.

Outcome

6 deliverables

Best for

Founder, Sales Engineering, CISO, Security, Legal, Product Marketing

  • Enterprise AI security evidence pack and buyer FAQ
  • Security questionnaire answer bank, RFP support, and customer review response kit
  • Model/provider boundary statements and trust-center AI security copy
  • Buyer-ready evidence with explicit caveats and claim-readiness notes
Duration: 2-4 weeksScoped in discovery call
Flagship
EvidenceAvailable

program_build

AI Governance & Security Program Build

A program-building engagement that turns AI security from scattered policy into operating model, ownership, controls, evidence, workflows, and governance cadence.

Outcome

6 deliverables

Best for

CISO, CTO, AI Governance Lead, Security Program Lead, Legal/GRC

  • 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: 4-10 weeks or retainerScoped in discovery call

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