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Cyber & AI GRC

Show how your controls work

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Cyber and AI governance evidence reviewed beside a business risk dashboard
Cyber & AI GRC · specialist capability

How this capability helps

Your policies need evidence that the controls work in practice.

Cyber governance helps the organisation make consistent decisions and explain them. People need to understand the policies, controls need to put them into practice, and the board needs evidence that this is happening.

AI adds new tools, data flows and third parties that existing approval processes may struggle to keep up with. Cyber & AI GRC helps teams identify their obligations and decide what needs to change.

01

What it covers

  • Cyber-risk and regulatory assessments
  • AI governance, control ownership and evidence
  • vCISO, ISO 27001, NIS2, DORA and assurance programmes
02

When this helps

  • Policies exist but evidence is fragmented
  • Frameworks compete for the same teams and controls
  • AI use is growing faster than governance
03

What you receive

  • A prioritised assessment of risks and obligations
  • Named control owners and clear evidence requirements
  • Decisions explained for the board and a practical improvement plan

Where delivery can go wrong

Specialists need clear responsibilities and a way to resolve decisions that affect each other.

Problems arise when the right expertise is missing or nobody coordinates the work between specialists.

01

Starting with the framework alone

Following a generic framework can create work without identifying the gaps that matter most to the business.

02

Advice without the necessary expertise

AI, privacy and operational resilience each need specialist judgement. A broad service list does not establish that expertise.

03

Evidence falls out of date

Controls may work during an audit, then lose clear ownership or current evidence between reviews.

How the process works

Follow each stage to see the decisions and checks needed to complete the work.

The diagram opens with the whole process in view. Zoom in for detail, then drag or scroll within the frame.

Cyber & AI GRC process diagram. A general assurance process: define what applies, gather evidence, test whether controls work and close the cycle with accountable ownership and review dates.
Read the process step by step
  1. New obligation or control gap.
  2. Scope the requirement, data and accountable owner.
  3. In scope now?
    • If no: Record the reason and monitor for changes. Assessment complete for now.
    • If yes: Gather evidence for each required control. Continue to the next decision.
  4. Control effective?
    • If no: Remediate the gap and retest.
    • If yes: Approve the evidence and record the responsible owner.
  5. Prepare the evidence pack and agree reviews.
  6. Assessment and evidence up to date.
1

Scope

Which entities, services, data and AI uses does the assessment cover?

2

Ownership

Name the person responsible for each control and each decision to accept risk.

3

Proof

Keep evidence current and accessible so it can support the assessment.

How Musketeers coordinates the work

Musketeers keeps the client and specialist teams working to the same plan.

Specialists deliver the technical work. Musketeers coordinates their involvement, tracks decisions and dependencies, and keeps the evidence available until the work is complete.

  1. 01Map the applicable obligations to the controls
  2. 02Agree who makes each decision and what evidence they need
  3. 03Review the programme when risks or regulations change