Most AI governance tools focus on compliance. Policies. Framework mappings. Vendor questionnaires. All useful. But they do not answer the question boards are beginning to ask:
"What risk are we actually carrying from the AI tools our teams are using today?"
Across most organisations, employees are already using AI tools daily. Many of those tools have not been formally approved. The data going into them has not been classified. And very few organisations have any visibility into what vendors are doing with that data afterwards.
That is not a hypothetical. That is the current state of most businesses - SMEs and enterprises alike.
Why Existing Tools Do Not Solve This
General GRC platforms are built for organisational compliance posture. Third-party risk tools are built to assess vendors. Neither is designed to answer a specific and increasingly urgent question: what is the aggregate security risk created by the AI tools already embedded in your operations?
Shadow AI - tools adopted by employees without IT or security approval - is now one of the fastest-growing risk categories in corporate cybersecurity. A Gartner estimate suggests that by 2027, more than half of enterprise AI deployments will involve tools that were never formally reviewed. The data exposure, IP risk, and regulatory liability that comes with unmanaged AI adoption is real, growing, and almost entirely unmeasured.
What We Built
RateYourCyber has launched a dedicated AI Security module - purpose-built to quantify the risk created by the AI tools inside your organisation. This is not a repackaged compliance checklist. It is a structured assessment and risk modelling capability covering the full lifecycle of AI tool adoption and use.
Self-assessment across 90 controls - written in plain business English, covering everything from data classification and vendor retention policies to model bias, IP exposure, and regulatory liability. Designed to be completed by compliance, legal, or operations teams - not just IT.
Nine AI risk domains - unauthorised data storage, ethical bias and discrimination risk, irrecoverable data exposure to large language models, unauthorised access to AI-connected systems, AI as an attack vector, performance degradation, shadow AI proliferation, regulatory compliance and liability, and AI supply chain and sub-processor risk.
Cross-referencing with vendor due diligence results - your self-assessment is automatically compared against vendor security assessments already on the platform. Inconsistencies are flagged. Combined risk is calculated. The picture you get is not just of your own posture, but of your posture relative to the providers you depend on.
Monte Carlo simulation across your AI portfolio - probabilistic risk modelling across all AI tools in scope, not single-point estimates. You see the range of likely outcomes, not just an average number. The methodology used in financial risk modelling, applied to AI security.
One-click board summary - a structured executive report suitable for board presentation, investor due diligence, or partner reporting. Generated automatically from the assessment results. No manual compilation required.
Who This Is For
For SMEs, the module delivers clear, actionable risk results without requiring a dedicated security team to interpret them. Any organisation using AI tools - which at this point means almost every organisation - can complete it and understand where their exposures are.
For enterprises and portfolio managers, the module supports assessment, results, portfolio-level management, and board reporting across multiple business units or portfolio companies. A private equity firm can run AI security assessments across its portfolio and aggregate results into a single risk view.
Why This Matters Now
AI governance is moving from optional to regulated. The EU AI Act introduced tiered obligations based on risk level. DORA has implications for AI tools used in financial services. Data protection regulators across the UK, EU, and US are beginning to scrutinise how organisations handle data submitted to third-party AI providers.
Beyond regulation, there is the straightforward business risk. IP submitted to an AI tool may be incorporated into the provider's model. Customer data entered by an employee may be retained and used for training purposes. A model update from a vendor can silently degrade the quality of AI-assisted decisions your business relies on. These are documented risks that most organisations have not yet formally assessed.
The AI Security module on RateYourCyber is designed to make that assessment straightforward, structured, and board-reportable - without an enterprise consulting budget.
Start Your AI Security Assessment
90 controls. 9 risk domains. Board-ready results. Built for organisations of every size.
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