Playbook diagnostic

Where are the blind spots in our AI security and governance — and how do we close them?

For organisations facing board-level questions about AI accountability, this diagnostic reveals in minutes where your governance controls are effective and where blind spots and gaps sit — with the functionality to remove them. It builds a structured view across five areas: policy and acceptable use, shadow AI visibility, data protection and leakage controls, access and model governance, and compliance, audit and accountability.

Who this is for

You're a security, compliance, IT or executive leader facing board-level questions about AI accountability, and you need a clear, evidenced picture rather than a guess. Staff may already be facing real AI situations your policy never anticipated, unknown tools could be handling company data completely unseen, confidential information risks flowing into public models, unvetted AI agents could be connecting to your systems, and nobody wants regulators, auditors or customers to find that no one is accountable when they ask.

What it assesses — five capability groups, 15 capabilities

Policy & Acceptable Use

Whether your rules for AI use are realistic, understood by staff, and enforceable when broken.

  • Policy coverage
  • Communication and understanding
  • Enforcement capability

Ungoverned AI use spreads faster than rules can follow.

Shadow AI Visibility

Whether you can see which AI tools are actually in use, and whether approved options are good enough to stop workarounds.

  • Tool discovery
  • Sanctioned alternatives
  • Usage risk triage

Invisible AI tools create risks nobody can manage.

Data Protection & Leakage Controls

Whether confidential information and intellectual property are protected from leaking into public AI models.

  • DLP coverage for AI channels
  • Input control
  • IP protection

Sensitive data leaks through AI channels without warning.

Access & Model Governance

Who can deploy or connect AI to your systems, and whether it operates with the right identity and permissions.

  • Deployment control
  • Identity for AI
  • Third-party AI assessment

Uncontrolled AI access turns systems into open doors.

Compliance, Audit & Accountability

Whether you know which regulations apply, could evidence your governance today, and have a named owner for AI incidents.

  • Regulatory mapping
  • Audit readiness
  • Incident accountability

Regulators, auditors and customers find nobody accountable.

What you get

  • Live dashboard across all 15 governance capabilities
  • Blind spots and weaknesses flagged explicitly
  • Prioritised, tailored recommendations to close gaps
  • Unlimited re-runs to track progress over time
  • Team consensus view via shared link

How it works

  1. 1 Start the diagnostic — nothing to prepare
  2. 2 Respond to structured statements across the five capability groups
  3. 3 Review your governance dashboard the moment you finish
  4. 4 Act on recommendations, then re-run to measure progress

Frequently asked questions

What does the AI Security & Governance diagnostic assess?

It assesses 15 named capabilities across five groups: policy and acceptable use, shadow AI visibility, data protection and leakage controls, access and model governance, and compliance, audit and accountability. Together they give a structured picture of where your AI governance is effective and where the gaps sit.

How long does the diagnostic take to complete?

Most people finish in around 9 minutes. You respond to a structured set of statements across the five capability groups, and your dashboard is ready the moment you submit your last answer.

Who should take this diagnostic?

Security, compliance, IT and executive leaders who face board-level questions about AI accountability and need an evidenced view rather than a guess. It's built for organisations where AI use has grown faster than the governance around it.

What are the five capability groups it covers?

Policy & Acceptable Use, Shadow AI Visibility, Data Protection & Leakage Controls, Access & Model Governance, and Compliance, Audit & Accountability. Each group breaks down into three specific capabilities, 15 in total.

What is "shadow AI" and why does it matter?

Shadow AI is any AI tool staff adopt without it being sanctioned or visible to the organisation, from free chatbots to embedded features in everyday software. It matters because you cannot govern, secure or support a tool you don't know exists.

How does the diagnostic identify blind spots versus weaknesses?

Your responses are scored against defined positive behaviours for each capability, and the dashboard separates blind spots — areas you haven't properly assessed — from acknowledged weaknesses you already know about. Both come with functionality to act on them directly.

Can my leadership team complete it together?

Yes. Colleagues can respond independently and you can view a consensus dashboard showing where your team agrees and where perceptions of your AI governance diverge.

What does the output look like?

A dashboard scored across all 15 capabilities, with blind spots and weaknesses called out explicitly and a prioritised, tailored list of recommendations for what to act on first.

Is this a one-off report, or can I track progress over time?

You can re-run the diagnostic as often as you like at no extra cost, so you can measure whether the gaps you acted on have actually closed. Used by many SuccessOf.ai users with a high satisfaction score.

How is this different from an external audit or consultant engagement?

There's no engagement to schedule and no report to wait weeks for. You get a structured view of your AI governance immediately, and can re-run it as often as you like to track progress.

Get clarity on your AI governance gaps — in minutes.

Start responding

Used by many SuccessOf.ai users with a high satisfaction score.