SOLUTION / 04
AI Security &Governance
Adopt AI without losing control.
The problem the organisation faces
AI entered the company faster than governance did. Staff paste data into tools nobody approved; agents hold permissions nobody reviewed. The question is whether data, identity, permissions, vendors and accountability are still under control.
Who this is for
- 01Organisations already using ChatGPT, Copilot or Claude at scale
- 02Teams building internal agents
- 03Companies preparing AI governance policies
- 04Regulated sectors piloting AI workflows
What the solution covers
Shadow AI discovery
Which AI tools are actually in use, on which data, through which accounts.
Data upload exposure
What leaves the organisation through prompts, uploads and integrations.
Enterprise AI accounts
Shared logins, orphaned workspaces and unreviewed admin access.
Agent permissions
What internal agents and automations can read, write and trigger.
AI vendor policy
Terms, data handling and breach accountability across AI suppliers.
How the work runs
First see the real usage, then govern it — policy written for how people actually work.
- DISCOVER
- CLASSIFY
- TEST
- GOVERN
What the organisation receives
Executive view
Findings and risk in management language, mapped to the obligations they answer.
Technical findings
Reproduction steps, affected assets and root cause for every finding.
Evidence
Proof you can reproduce — payloads, logs and screenshots attached to the rating.
Priorities
A 30/60/90-day plan with owners, so work starts the week the report lands.
Retest status
Where retesting is in scope: Closed, Risk Accepted with an expiry, or Monitoring with a follow-up date.
Typical triggers
Related programme
Available within Enhanced and Enterprise — or as a standalone engagement.
Technical findings and recommendations reflect engineering judgement — they are not legal advice.
Discuss this requirement.
Tell us the system, the timeline and the worry — the answer will be a scope, not a sales deck.
Discuss this requirement ↗