AI Governance
Agentic AI Security: The Risks of Autonomous AI Agents
14 Jun 2026
Assessment-led · Fixed price · Two weeks
Can you prove what your staff are doing with AI?
IntelXview helps regulated organisations evidence AI data exposure and governance gaps with fixed-price readiness reviews — across Microsoft 365 Copilot, Google Workspace Gemini, ChatGPT, Claude, developer tools, and internal assistants. Start with an assessment, not a platform rollout.
Most organisations cannot prove what staff are doing with AI tools until a client, auditor, insurer, or regulator asks.
- £1,500 fixed price, two weeks
- No system access required
- Public live evidence register
Our proof-pack dependency register is public and updates from live verification runs. View the live register →
AI Data Leakage Risk Assessment
Two-week diagnostic. Management summary. Evidence pack.
For regulated organisations whose staff already use AI tools.
0:06 · RemotionBuilt for regulated organisations handling sensitive client, employee, or commercial data.
Sectors we work with
- UK/US financial services
- Legal
- Accounting
- Consulting
- Insurance
- Fintech
- Regulated SaaS
- Healthcare-adjacent
- Regulated SMEs
Who this helps
- CISO
- COO
- CRO
- CCO
- Audit
- DPO
- AI governance owner
- Managing partner
If teams are pasting sensitive data into AI tools faster than policy can catch up, the first step is not a platform rollout. It is a clear, evidence-backed picture of the leakage paths, governance gaps, and decisions required.
Book the £1,500 Risk AssessmentAssessment-led
Three fixed-price readiness reviews. One starting point.
Each assessment evidences where AI tools could expose client, employee, or commercial data — so leadership can decide what level of control is needed, with evidence.
Microsoft 365 Copilot
Microsoft 365 Copilot Risk Assessment
Evidence what Copilot can surface across your tenant — permission sprawl, missing sensitivity labels, and DLP gaps — before sensitive content is exposed.
View the Copilot assessment →Cross-tool · £1,500
AI Data Leakage Risk Assessment
The fixed-price diagnostic of where staff may expose data through ChatGPT, Copilot, Claude, Gemini, developer tools, and internal assistants.
View the data leakage assessment →Governance evidence
AI Evidence Gap Assessment
A guided readiness review of whether you can evidence AI usage, policy, and governance decisions to a client, auditor, insurer, or regulator on request.
Start the readiness review →The decision point
In two weeks, you will know whether staff AI use is a manageable issue, a policy gap, or a board-level governance risk.
The risk is not that staff use AI. The risk is that nobody can prove what data entered it, which tool was used, or whether policy was followed. The £1,500 AI Data Leakage Risk Assessment produces a management summary, evidence pack, and audit/evidence trail support — so a leadership team can decide what level of control is needed, with evidence.
Who this is for
This assessment is for regulated organisations with real exposure to client, employee, commercial, or operational data. It is not generic cyber-awareness training.
If your concern is only basic staff awareness, start with training. If your concern is evidence, leakage, policy gaps, or board-level AI risk, start with the assessment.
What is Incident-Triggered Training?
Incident-triggered training is a cybersecurity education methodology developed by IntelXview that delivers training within 48 hours of a real security incident — while the incident is still salient and attention and relevance are highest. In IntelXview's own measured engagements across 847 organisations and 650,000+ employees, post-training knowledge retention measured at 30 days averaged 73% across the cohort. See our Evidence and Methodology page for the measurement method and the underlying references.
What is IntelXview AI Control Plane?
The AI Control Plane is an enterprise governance platform that sits between an organisation's users and AI model providers. Every AI request passes through the Control Plane, which enforces policies, routes to the correct model based on quality/cost/latency preferences, and maintains a complete HMAC-signed audit trail. Features include OPA-backed policy engine, multi-provider model gateway, council mode for high-sensitivity deliberation, and MCP server integration for developer tools.
What is the AI Data Leakage Risk Assessment?
The AI Data Leakage Risk Assessment is a fixed-price £1,500 diagnostic that identifies where staff may be exposing client, employee, or commercial data through ChatGPT, Microsoft Copilot, Claude, Gemini, browser extensions, and unapproved AI tools. Deliverables include an AI usage risk score, a staff AI policy gap review, an approved tool register template, a data leakage checklist, a management summary, and a 30-minute debrief. The assessment is delivered in two weeks and requires no system access.
The training layer, measured
847Organisations researched
650K+Employees studied
73%Retention rate
12%Industry average
Outcomes of the incident-triggered training method, the behaviour-change layer behind the assessment. How we measure these →
Behaviour-change layer
Training that lands when it matters.
Once the assessment tells you which behaviours need to change, incident-triggered training closes the gap — delivered while the incident is still salient, when attention and relevance are highest. Not weeks or months later.
Training is the behaviour-change layer that supports governance and post-incident readiness. It is not the first step. See how we measure retention →
Supporting layers
After the assessment: behaviour change and enforceable controls.
Once the assessment tells you what level of control is needed, incident-triggered training closes the behaviour-change gap and the AI Control Plane enforces approved-tool routing, policy checks, and a governance evidence trail. Neither is the first step. Both follow the diagnostic.
Behaviour-Change Training Behind Governance
Once the assessment shows where the leakage paths and governance gaps sit, training helps staff change the behaviours behind them — using timely, role-relevant modules drawn from real incidents.
- Role-targeted for SOC, IT, finance, operations, partners
- Drawn from real incidents — relevant, not abstract
- Records and outcomes available for governance evidence
0:10
Inside portal.intelxview.com
Watch an incident hit the feed, generate a bespoke training module, and produce a learner record on portal.intelxview.com.
Choose the right starting point
Start with the level of evidence you need.
For most regulated organisations, the £1,500 AI Data Leakage Risk Assessment is the right first step. The options below show where training and the AI Control Plane fit once you know what control is needed.
Step 01Diagnostic
AI Data Leakage Risk Assessment
£1,500
fixed-price, two weeks
For: Compliance / risk owner
See details →Step 02
Incident module
£49–£99
per module
For: Individual contributor
See details →Step 03
Small team plan
£499
per year, up to 5 seats
For: Team lead / SMB
See details →Step 04
ACP Pro
£99
per month
For: Growing organisation
See details →Step 05
Enterprise ACP pilot
Scoped
per environment
For: Security / audit owner
See details →Step 06
Full enterprise ACP subscription
Custom
annual
For: CISO / executive sponsor
See details →Built for
If your people handle client data and use AI, this is for you.
The teams getting the most value from IntelXview share two features: regulated client data, and a workforce already using consumer AI to do its job. If that sounds like your organisation, you are exactly who we built this for.
Law firms
Client matter data, draft pleadings, and confidential opinions routinely flow into consumer AI tools.
Accountants
Tax workings, client financials, and management accounts shared into ChatGPT without an approved-tool register.
Financial advisers
FCA-regulated client data, suitability notes, and meeting minutes pasted into AI assistants for summarisation.
Regulated SMEs
Mid-sized organisations under FCA, PRA, ICO, or sector regulators with no formal AI acceptable-use policy.
SaaS firms
Code generation tools and customer-support copilots writing against production data and source code.
Healthcare-adjacent organisations
Patient-adjacent data — referrals, scheduling, claims, insurance — routed through staff using consumer AI.
Schools and education providers
Safeguarding notes, pupil records, and parental correspondence inadvertently entered into chat assistants.
Consultancies handling client data
Engagement notes, due-diligence packs, and board materials drafted with AI tools across multiple clients.
IntelXview Tour
Prefer a Guided Tour?
Our interactive avatar walkthrough covers both products in under four minutes — no sign-up, no forms, no sales calls. Start when you're ready.
Measured Training Outcomes
Not testimonials. Data from the behaviour-change layer.
Start with a fixed-price readiness review.
Two weeks. Fixed price. A management summary, evidence pack, and debrief — so you can decide what level of AI control your organisation actually needs, with evidence.