For CISOs & Security Leaders
AI Risk and Governance Dashboard
Evidence-driven oversight for enterprise AI. See how AI is actually used. Prove your controls work.
This is not a policy document. It is an operational control surface for AI.
100%
AI Usage Visibility
Real-time
Risk Detection
Automated
Risk Register
Audit-ready
Evidence Export
Built for Real Questions
Answer the questions you are already being asked
The dashboard is designed to answer these questions with data, not assumptions.
Are we leaking sensitive or competitor information through AI?
Track every attempt to share confidential data, competitor information, or PII through AI interactions in real-time.
Can AI give wrong, misleading, or non-compliant advice?
Monitor for prompts that could result in misleading outputs, unsafe advice, or responses that violate compliance policies.
Do our guardrails actually work in practice?
Move beyond "we have controls" to "we can prove they work" with evidence-based guardrail effectiveness metrics.
Can we prove this to audit, risk, and the board?
Generate exportable evidence for audits and reviews with clear ownership, accountability, and repeatable governance patterns.
Key Benefits
From visibility to confidence
AI adoption does not fail because of lack of innovation. It fails because risk is invisible until it is too late.
Complete Visibility
Replace blind spots with measurable usage intelligence. Know who is using AI, which tools, and how interactions trend over time.
- Usage by department and role
- Internal vs external AI tracking
- Trend analysis over time
Proven Controls
Stress-test your AI controls, not just document them. See which guardrails trigger, how often, and where gaps exist.
- Guardrail trigger metrics
- Policy gap identification
- Control effectiveness scoring
Audit-Ready Evidence
AI governance becomes part of normal security operations. Export evidence, integrate with GRC, and demonstrate compliance.
- Exportable audit reports
- GRC process integration
- Board-ready summaries
Dashboard Capabilities
What the dashboard shows
AI Usage Visibility
Understand where and how AI is being used across the organisation.
- Who is using AI and in which contexts
- Which tools, copilots, and agents are in use
- Internal vs external AI interactions
- Trends over time by department and role
Risk Signals at Point of Use
Track real AI risk, not theoretical exposure. Risks are detected at the moment they occur, not after an incident.
- Attempts to share competitor or confidential information
- Prompts that could result in misleading or unsafe advice
- Policy violations and near-misses
- Repeated risky behaviour patterns
Guardrail Effectiveness & Evidence
Stress-test your AI controls, not just document them.
- Which guardrails are triggered and when
- How often risky prompts are corrected or blocked
- Where policies are too strict or too permissive
- Gaps where controls fail or do not exist
AI Risk Register, Built Automatically
Every signal feeds a living AI risk register. Manage AI risks like any other enterprise risk.
- Categorised by risk type (data leakage, misinformation, compliance)
- Linked to real usage evidence
- Prioritised by frequency and potential impact
- Aligned to security and risk frameworks
Cost and Usage Insights
AI risk and AI cost are linked. Support both risk reduction and cost optimisation.
- AI consumption trends
- Cost drivers by team or use case
- Inefficient or high-risk usage patterns
Enterprise Integration
Designed to integrate with GRC
AI governance becomes part of normal security operations, not a side project.
Exportable Evidence
For audits and reviews
GRC Integration
Inputs into existing processes
Clear Ownership
Accountability and responsibility
Repeatable Patterns
For future AI use cases
Continuous Improvement
Stress-testing AI before incidents happen
The dashboard works alongside AI testing and red teaming to create a continuous feedback loop between attack, defence, and governance.
Testing Feeds Governance
Findings from exploratory testing and red teaming feed directly into governance metrics.
Gap Tracking
Control gaps are tracked and retested systematically to ensure continuous improvement.
Measurable Progress
Improvements are measured over time with clear metrics and trending analysis.
Target Audience
Who this is for
CISOs
Responsible for AI risk and compliance across the enterprise.
Security Leaders
Supporting Copilot and agent rollouts with proper governance.
Risk & Audit Teams
Needing evidence, not narratives, for AI risk assessment.
Board Members
Asking for assurance on AI use and governance.
See the dashboard in action
Understand your real AI risk posture in weeks, not months.
The AI Risk and Governance Dashboard makes AI risk measurable, manageable, and defensible.