AI Agent Governance Assessment
A structured engagement that answers three questions: what AI agents are running in your environment, what they can reach, and how you govern them.
Discuss your situation AI governance & cyber risk advisory
Make AI risk visible — from the agent to the board.
Organizations are adopting AI faster than they can govern it — agents doing real work with no map of what they can reach, and no owner for the outcome when one gets it wrong. We make that risk visible, then help you govern it: the technical layer first, then the leadership layer where the accountability actually sits.
Vendor-neutral. Assessment-first. No platform to sell you.
How we work
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Vendor-neutral by design
We do not resell a platform. The governance framework we write works with the agents and tooling you already run.
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Assessment before commitment
We start by finding out what is actually deployed. Clarity first, spend second — and you keep the findings either way.
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AI-native delivery
We run AI agents in our own operations, so the advice comes from hands-on practice rather than second-hand theory.
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Built for the mid-market
Scoped and priced for organizations without a dedicated AI governance function — not just the Fortune 100.
Services
Four ways we help — start with the one that matches your problem
Every engagement is fixed-fee and assessment-first. You get findings you can act on whether or not you hire us again.
AI Security Posture Assessment
A broader look at exposure from LLM-based systems: what data is leaving through which models, prompt-injection exposure, AI supply-chain risk, and identity implications.
Discuss your situationAgent-Aware Detection & SIEM Gap Assessment
Where your current detection coverage stops and agentic activity begins — the behaviours your existing rules were never written to see.
Discuss your situationAgent & LLM Cost Audit
A fixed-fee audit of what your AI agents actually cost to run, and which calls are burning the budget. Model-selection waste is usually the finding — a small share of activity often accounts for most of the spend.
Discuss your situationThe layer above the finding
An assessment sometimes surfaces something that belongs to leadership rather than to the team running the deployment — an agent nobody owns, a decision trail nobody can evidence, a risk your register does not carry. That is where we advise next. Fixed fee, scoped to the question.
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AI Governance Framework
The framework your assessment pointed to, built at organisation scope: who owns which decision, where a human stays in the loop, how nonhuman identities are issued and retired, what gets monitored, and what gets reported upward.
Security, risk and technology leaders who have to answer for AI outcomes and do not yet have the framework to do it with.
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Executive AI Risk Briefing
A half-day session for a leadership team or risk committee. What you are accountable for, what to ask your teams, what to fund, what to accept, and what to say when the board asks.
CISOs, CIOs, risk committees and board sponsors — the people who own the exposure rather than the deployment.
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AI Risk in the Enterprise Register
AI and agent risk carried inside the risk framework you already run — appetite statements, ownership, committee reporting — rather than a parallel AI track that nobody reconciles.
Organisations with a working enterprise risk process that AI has been bolted onto rather than absorbed into.
Not sure which applies? The discovery call exists to work that out — and if we're not the right fit, we'll say so and point you somewhere useful.
Why now
The governance gap is already open
AI agents arrived through the side door. A team enabled an assistant, a developer wired an agent into a repo, a business unit bought a tool with an API key nobody inventoried. The capability showed up faster than the controls did.
That leaves most organizations with agents that have real access and no governance: no inventory of what exists, no map of what each one can touch, no monitoring of what it actually does, and no plan for the day one of them is manipulated into doing something nobody intended.
You cannot govern what you cannot see. That is the whole reason this practice exists — and why the first deliverable of every engagement is a map, not a recommendation.
- 94% of security leaders name AI as the most significant driver of change in cybersecurity this year. World Economic Forum, Global Cybersecurity Outlook 2026
- 87% identify AI-related vulnerabilities as the fastest-growing cyber risk — up sharply year over year. World Economic Forum, Global Cybersecurity Outlook 2026
- “Months, not years” is how the Five Eyes intelligence alliance describes the timeline for frontier AI to transform offensive cyber capability. Five Eyes joint statement, June 2026
About
A small, AI-native security practice
Illuminate Risk LLC pairs experienced cybersecurity judgement with an AI-augmented delivery model — a focused practice that uses the same class of agentic tooling it advises on, so the guidance comes from operating the technology rather than reading about it.
The scope is focused, not narrow. We take on agent governance, AI security posture, detection coverage and AI cost — defined-scope, fixed-fee engagements where the answer has to hold up. And when an assessment turns up something that belongs to leadership rather than to the team that deployed it — an agent nobody owns, a decision trail nobody can evidence — we advise at that layer too: AI governance frameworks, executive risk briefings, and AI risk carried inside your enterprise register rather than tracked beside it. We do not sell a platform, and we are not trying to become your managed security provider.
Direct: hello@illuminaterisk.com
David Peach, founder
- Engagement model
- Fixed fee, assessment-first. You know the cost and the scope before anything starts.
- Delivery
- Senior judgement plus an AI-augmented delivery engine — the capacity of a larger practice without the overhead.
- Coverage
- Vendor-neutral and mid-market focused. We work with the agents and tooling you already run.
- First step
- A 25-minute discovery call. No proposal until we both know it is a fit.
Start with a conversation, not a proposal
Twenty-five minutes to describe what you have deployed and what is worrying you. You will leave with a clearer picture of the gap, whether or not we work together.