Fractional AI security and assurance
Senior AI assurance support without hiring permanently.
Engage founder-led AI security and assurance support to discover AI use, challenge agentic risk, operationalize NIST AI RMF evidence, brief leadership and implement Gamut as the operating layer for ongoing AI assurance.
Book a callWhy organisations need this now
AI adoption is now spread across SaaS platforms, copilots, GenAI tools, product teams and emerging autonomous agents. Most teams have policies, but fewer can show a complete AI inventory, consistent risk decisions, control evidence, remediation ownership and board-ready reporting.
CISOs need visibility
Shadow AI, SaaS AI features, agent access, tool use and data exposure need to be visible before they become security incidents.
Risk teams need evidence
Frameworks only help when they are translated into records, control expectations, evidence requests and reviewable decisions.
Boards need clarity
Leadership needs a clear view of AI exposure, agentic risk, gaps, remediation and the decisions that require executive attention.
What fractional support can include
- AI inventory and shadow AI discovery
- NIST AI RMF evidence readiness review
- AI agent assurance and autonomy mapping
- Gamut workspace setup and operating model
- AI system register, risk pipeline and evidence structure
- Supplier, SaaS AI and AI product assurance review
- Board, CISO and audit reporting
- Security architecture challenge for AI systems and agents
- Gateway and Claw control design
- Evidence pack development and quality review
- Findings, remediation and residual risk oversight
- Buyer-assurance preparation for AI vendors and suppliers
Three ways to engage
Focused review
A short evidence-led review of AI governance, NIST AI RMF readiness, agentic risk or buyer-assurance gaps.
30-day sprint
A structured sprint that produces an AI inventory, agent risk view, control gap report, evidence pack and Gamut workspace.
Retained advisor
Ongoing AI security and assurance support for governance cadence, board reporting, remediation and platform adoption.
Best fit
CISOs and security leaders
Need senior judgement on AI risk, agent access, secure architecture, SaaS AI exposure and control evidence.
AI vendors and SaaS companies
Need stronger buyer-facing evidence around AI governance, assurance, oversight, controls and agentic AI risk.
Risk, legal and compliance teams
Need a practical way to turn policy, NIST AI RMF and board expectations into records, evidence and remediation.
Powered by Gamut
This is not advisory that ends with a slide deck. Gamut is used as the working environment for inventory, risk classification, control evidence, findings, remediation and reporting.
GTSAF control depth
358 controls across 17 domains give the work a strong assessment base rather than light checklist theatre.
Agentic CISO
Records AI agents, ownership, autonomy, access, tool permissions, oversight, incidents, tests and evidence.
Gateway and Claw
Supports the control model for AI-enabled action: policy decision, bounded execution, logging and assurance evidence.
Founder-led credibility
Gamut was created by Arinze Okosieme, a cybersecurity and AI assurance practitioner with 27+ years' experience and CISSP, CCSP, CCZT and TAISE credentials. The advisory offer brings that judgement into your AI assurance programme while using Gamut to make the work operational and reviewable.
Start with a scoping call
Get senior AI assurance judgement, with a platform behind it.
Use the first call to decide whether a focused review, the 30-day sprint or retained advisory support is the best route.
Book a call