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AI Security, Risk & Compliance
Use AI without opening new security holes or compliance gaps. We assess AI risks, test LLM applications, put controls in place and help you prepare for regulation.
Quick answer
What are AI security, risk and compliance services?
AI security, risk and compliance services identify and reduce the risks created by AI systems, such as data leakage, prompt injection, biased or wrong outputs, and regulatory exposure. ML Data House runs AI risk assessments, tests LLM applications against known attack patterns, implements technical controls and helps you document compliance.
- AI inventory and risk assessment
- LLM and agent security testing
- Controls for data leakage and misuse
- Regulatory readiness documentation
What we deliver
What our AI Security, Risk & Compliance service covers
AI inventory
Find every AI tool, model and vendor in use, including shadow AI.
Risk assessment
Rate each AI system for privacy, security, accuracy, bias and legal risk.
LLM security testing
Prompt injection, jailbreak, data-exfiltration and tool-abuse tests, informed by the OWASP Top 10 for LLM applications.
Technical controls
Input and output filtering, data masking, access control and logging.
Compliance documentation
DPIAs, model cards, risk registers and vendor assessments.
Ongoing monitoring
Alerts and reviews so risk stays under control as AI changes.
How it works
Our AI Security, Risk & Compliance process
Short, visible steps with a demo or decision at the end of each one.
Assess
Score risks and test key applications.
Remediate
Implement controls and fix findings.
Assure
Document, monitor and review on a schedule.
Deliverables
What you get
- AI system inventory
- Risk register with ratings
- LLM security test report
- Implemented controls and fixes
- Compliance documentation pack
Best fit
This is right for you if…
- Staff use AI tools with company data
- You are launching a customer-facing AI feature
- Customers or auditors ask about your AI controls
- You must prepare for the EU AI Act or sector rules
UK & US
AI Security, Risk & Compliance for UK and US businesses
One remote team, planned around the rules and working patterns of each market.
United Kingdom
We work from our UK office in Wolverhampton with clients across England, Scotland, Wales and Northern Ireland, remotely. Projects are planned around UK GDPR and the Data Protection Act 2018, ICO guidance on AI and data protection, and, if you sell into Europe, the EU AI Act.
For UK organizations we prepare DPIAs and follow ICO guidance on AI and data protection; for EU-facing services we map obligations under the EU AI Act.
United States
We work remotely with US companies from coast to coast, and UK working hours overlap with the US East Coast morning for live calls and demos. We plan around the NIST AI Risk Management Framework, state privacy laws such as the CCPA/CPRA, and sector rules like HIPAA where they apply.
For US organizations we map risks to the NIST AI RMF, address state AI and privacy laws, and support SOC 2 and customer security questionnaires.
Tools, models & frameworks
OWASP Top 10 for LLM ApplicationsNIST AI RMFISO/IEC 42001 conceptsMITRE ATLASGuardrailsData loss preventionAzure AI Content Safety
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FAQ
AI Security, Risk & Compliance: frequently asked questions
What are the main security risks of AI?
Leaking confidential data, prompt injection that hijacks an AI system, insecure tool access for agents, wrong or biased outputs, and unvetted third-party AI vendors.
What is prompt injection?
Prompt injection is when text from a user, website or document tricks an AI model into ignoring its instructions, for example to reveal data or take an unwanted action. We test for it and add defences.
Does the EU AI Act apply to UK or US companies?
It can, if you place AI systems on the EU market or their outputs are used in the EU. We help you check whether and how it applies.
What is the NIST AI Risk Management Framework?
A voluntary US framework for managing AI risks, organised into four functions: Govern, Map, Measure and Manage. Many US organizations use it as their AI governance baseline.
Do you certify AI systems?
No. We assess, test and improve AI systems and prepare documentation; formal certification is done by accredited bodies.
How do we stop staff leaking data into AI tools?
Approve safe AI tools, set an acceptable-use policy, apply data-loss controls and train staff. See AI workshops.
How often should AI risk be reviewed?
At least when a system changes materially and on a regular schedule, often quarterly for high-risk systems.
Ready to talk about AI Security, Risk & Compliance?
Tell us about your goals, data and systems. We will reply with practical next steps, wherever you are in the UK, the US or worldwide.