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AI Risk Exposure Dashboard™: Which AI Threats Should You Actually Worry About?

MITRE ATLAS catalogues dozens of attack techniques. Not all of them apply equally to your organisation. A company running a customer-facing chatbot has a different risk profile than one running autonomous agents with database write access. This dashboard scores threats specific to your actual AI use cases — not a generic checklist.

The AI Risk Exposure Dashboard™ identifies which AI security threats are most likely to impact your organisation, based on the specific AI use cases you've deployed and the security controls you currently have in place. Rather than presenting every MITRE ATLAS technique as equally relevant, it weights risk by your actual exposure — what AI systems you operate, what data they touch, and what controls are missing — and visualises the result as an interactive heat map.

Why Generic Threat Lists Don't Reflect Your Actual Risk

A generic AI security checklist treats prompt injection, model theft, and supply chain compromise as equally urgent for every organisation. In practice, an organisation running a single customer-facing chatbot with no agent capabilities has minimal exposure to agent tool abuse — that threat simply doesn't apply to their architecture. Meanwhile, an organisation running autonomous agents connected to internal systems has dramatically elevated exposure to exactly that threat category. The Risk Exposure Dashboard exists to produce a threat priority list specific to what you've actually deployed, not a one-size-fits-all framework checklist.

How Use Case Selection Drives the Risk Model

Select the AI use cases active in your organisation: customer-facing chatbot, internal copilot, autonomous agents, RAG-based knowledge systems, AI-powered code generation, and others. Each use case carries a different threat weighting — autonomous agents elevate agent abuse and tool manipulation risk; RAG systems elevate retrieval poisoning and cross-tenant leakage risk; customer-facing systems elevate prompt injection and reputational risk. The dashboard combines your active use cases with your current control coverage to calculate a risk score for each threat category.

Reading the Heat Map

The interactive heat map visualises risk severity across threat categories, colour-coded from green (low exposure) through yellow and orange to red (critical exposure). This format is designed for fast executive consumption — a board member can identify the two or three red zones in seconds without needing to understand the underlying technical detail. Clicking into any threat category reveals the specific reasoning: which use cases drive that risk score, and which missing controls contribute most to the exposure.

From Exposure Score to Framework Mapping

Beyond the heat map, the dashboard maps your top risk exposures to relevant compliance frameworks — showing which NIST AI RMF functions, EU AI Act requirements, or ISO 27001 controls address your highest-priority threats. This connects risk prioritisation directly to compliance planning, so security investment decisions and regulatory readiness work reinforce each other rather than operating as separate workstreams.

Identify Your Top AI Threats — Free

Select your AI use cases and see which threats actually matter for your organisation. Interactive heat map, board-ready PDF.

Frequently Asked Questions

How is risk exposure calculated?
The dashboard combines two inputs: your active AI use cases (which determine which threat categories are architecturally relevant to you) and your current control coverage (which determines how exposed you are to threats that do apply). A threat category gets a high exposure score only when it's both relevant to your deployed AI systems and inadequately controlled against.
What's the difference between this and the Coverage Dashboard?
The Coverage Dashboard measures how complete your security controls are across six domains, benchmarked against industry peers — it answers 'how mature is our overall programme?' The Risk Exposure Dashboard identifies which specific threats are most likely to affect your organisation given what you've actually deployed — it answers 'what should we worry about first?' They're complementary: use Risk Exposure to prioritise, then Coverage to track progress on closing those specific gaps.
Can I model a use case we're planning to deploy but haven't yet?
Yes — toggle on use cases you're planning to evaluate exposure before deployment. This is particularly useful before rolling out autonomous agents or new RAG systems, since it shows you the risk profile shift before the system goes into production rather than after an incident.
Is this suitable for a board risk committee presentation?
Yes — the heat map format and Export Report PDF are specifically designed for executive and board consumption. The visual format communicates priority at a glance, and the underlying detail is available for technical follow-up questions.

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