AI Security & Compliance Audit
We review how your AI systems handle data, who can reach them, how they fail and how you'd prove any of it to an auditor. You get a clear risk register and a remediation plan mapped to the frameworks you answer to.
Why teams bring us in
AI adds new failure modes to familiar systems: prompt injection, data leakage through outputs, unlogged model changes and shadow AI tools. Most security programs haven't caught up, and customers' security questionnaires are starting to ask.
AI changes the attack surface of ordinary applications. A chatbot connected to internal documents can be tricked into revealing them. An agent with tool access can be steered into actions its designers never intended. A model update can change behaviour without anyone reviewing it. Our assessment looks at these risks alongside the familiar ones: identity, network, data retention and vendor management.
- AI inventory: every model, vendor and shadow tool touching company data
- Threat modeling: prompt injection, data exfiltration, supply-chain and abuse paths
- Privacy review: PII flows, retention, residency and consent
- Red-teaming: hands-on testing of your live AI features
- Control mapping: gaps against NIST AI RMF, ISO 42001 and your sector's rules
Teams that get the most from this service
Companies launching AI features
You want an independent review before customers and their security teams see it.
Regulated organizations
Your regulators, auditors or board are starting to ask how AI risk is governed.
PE & VC firms
You need a clear view of AI risk in a portfolio company before or after a transaction.
Four phases, each with a sign-off.
We combine document review, architecture interviews and hands-on testing. Findings are rated by likelihood and impact, mapped to the frameworks you report against, and paired with a specific fix. Leadership receives a short summary; engineers receive reproducible test cases.
| Phase | What happens | You receive |
|---|---|---|
| Inventory | Systems, vendors, data flows | AI asset register |
| Assess | Threat model, privacy review, config audit | Findings with severity |
| Test | Red-team exercises on live features | Reproducible attack cases |
| Remediate | Prioritized fixes + policy templates | Risk register + roadmap |
What you keep when we're done.
Risk register
Every finding with severity, owner, and the control it maps to.
Red-team report
Reproducible test cases for each weakness we found, and the fix.
Policy pack
Acceptable-use, model change management and incident response templates.
Tools we use
Chosen per client. We work with what your team already runs wherever it makes sense.
Questions about AI Security & Compliance Audit
Is this a certification?
No. It is an independent assessment that prepares you for certification or regulatory review and shows where controls are missing.
Will testing affect production?
We agree on scope and timing in advance, and most testing happens in staging. Any production testing is limited and coordinated with your team.
What do we receive?
A risk register, a red-team report with reproducible cases, a remediation roadmap and a set of policy templates you can adopt.
Often paired with
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Run open-weight models on your own servers or private cloud, with no data leaving your network.
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Move legacy workloads and data platforms onto infrastructure that is ready for AI.
Explore service →Talk to an engineer about AI Security & Compliance Audit.
A 45-minute call with an engineer, not a sales script. You'll leave with a rough architecture, a cost range and the next three steps.