AI Governance · Audit & Assurance

Available

Trustworthy AI, demonstrated with evidence

Govern, secure and evidence your AI — before it governs you.

AI is moving faster than most governance programs. We assess how your organisation governs, secures and uses AI — from management-system controls under ISO/IEC 42001 and the NIST AI RMF, to model and system security, to the shadow-AI exposure across your workforce — and give you an evidenced, actionable view.

Request an AuditAll Audit & Assurance services
AI governance and security assessment workshop in a boardroom

Who this is for

Built for the people who answer for it.

Organisations deploying AI

Building or adopting AI systems that now need governance, risk management and security assurance.

Boards and risk leaders

Accountable for AI risk who need an independent view of exposure and control maturity.

Teams facing AI regulation

Preparing for ISO/IEC 42001, the NIST AI RMF or emerging AI regulatory expectations.

Business risks addressed

What this assessment helps you find.

  • Shadow AI — employees using AI tools with sensitive data, outside any policy.
  • AI systems deployed without risk assessment, oversight or accountability.
  • Models exposed to prompt injection, data leakage or misuse.
  • No evidence of responsible-AI controls when a customer or regulator asks.
  • Governance that cannot keep pace with how fast AI is being adopted.

Assessment objectives

What the engagement evaluates.

  • Assess AI governance and accountability against ISO/IEC 42001 and the NIST AI RMF.
  • Evaluate AI risk management across the AI lifecycle.
  • Review AI system and model security controls.
  • Measure AI usage exposure across the organisation (shadow AI).
  • Validate responsible-AI controls — transparency, fairness, human oversight.

Scope & control areas

What we review.

AI governance

  • AI policy, roles and accountability
  • AI inventory and risk classification
  • Lifecycle oversight and approvals
  • Third-party and vendor AI

AI risk & responsible AI

  • AI risk assessment
  • Transparency and explainability
  • Fairness and bias controls
  • Human oversight and escalation

AI security

  • Model and data security
  • Prompt-injection and misuse resistance
  • Access and logging for AI systems
  • AI supply-chain and dependency risk

Audit criteria & frameworks

ISO/IEC 42001NIST AI RMFOWASP Top 10 for LLMsEU AI Act (awareness)

We confirm the applicable standards and editions during scoping. Framework names are used to describe audit criteria and do not imply accredited certification authority.

Our approach

A practical, evidence-based method.

1

Inventory AI use

Map where and how AI is used across the organisation, including shadow and third-party AI.

2

Assess governance

Evaluate AI policy, accountability and lifecycle oversight against ISO/IEC 42001 and the NIST AI RMF.

3

Assess risk & responsibility

Review AI risk management and responsible-AI controls — transparency, fairness, human oversight.

4

Test AI security

Assess model and system security, including resistance to misuse and data leakage.

5

Measure exposure

Quantify AI usage exposure — accelerated by the Srida IT AI Exposure Auditor where appropriate.

6

Report & roadmap

Deliver risk-rated findings and a prioritised responsible-AI remediation roadmap.

Evidence & client prerequisites

What we typically ask for.

Indicative only — the exact evidence depends on scope. Not every engagement requires every item.

  • AI inventory and use-case list
  • AI policies, standards and approval records
  • Model and system architecture documentation
  • AI risk assessments (where they exist)
  • Access, logging and monitoring for AI systems
  • Vendor/third-party AI agreements

Deliverables

What you receive.

We only promise deliverables appropriate to this service and the agreed scope.

  • AI inventory and risk classification
  • Governance assessment against ISO/IEC 42001 and NIST AI RMF
  • AI security findings
  • AI usage exposure report
  • Responsible-AI control evaluation
  • Risk-rated remediation roadmap

Engagement options

Engage the way that fits.

AI governance assessment

A structured review of AI governance, risk and responsible-AI controls.

AI exposure assessment

A focused measurement of shadow-AI and usage exposure, product-accelerated.

ISO 42001 readiness

Readiness for an ISO/IEC 42001 AI management system, with our ISO internal audit team.

Independence & scope of this service

This is an independent governance and security assessment aligned to ISO/IEC 42001 and the NIST AI RMF. It is not accredited certification and not legal advice on AI regulation. Where Srida IT products assist the assessment, their role is disclosed; where we implement AI controls, independent assurance over them is kept separate.

Related frameworks & standards

ISO 27001

The global gold standard for information security management

Related products

Frequently asked questions

Practical answers.

Yes. Both are our primary lenses for AI governance. We map your AI program to ISO/IEC 42001 management-system requirements and the NIST AI RMF functions.
It's the risk from how your people actually use AI — often outside policy ('shadow AI'). We measure it, accelerated by our AI Exposure Auditor product where appropriate.
No. We assess technical and governance controls and raise regulatory awareness, but we are not providing legal advice on AI law — engage qualified counsel for that.
Yes — readiness and independent internal audit. The certificate itself is issued by an accredited certification body.

Ready to scope your ai governance & ai security engagement?

A partner reviews every request and replies within one working day. Tell us your context and we’ll propose a right-sized scope.

Request an Audit