AI Impact & Risk and AI Security Testing Services
Identify AI risks. Strengthen AI governance. Secure your AI systems.
As organisations adopt Artificial Intelligence, they face new operational, security and regulatory risks that traditional governance and penetration testing were never designed to address. Before AI can be governed effectively, organisations need visibility into where AI is being used, what data it processes and whether appropriate controls are in place.
Risk Crew’s consultant-led AI Impact & Risk Assessment and AI Security Testing services help organisations understand AI risk, strengthen AI governance and validate the security of business-critical AI systems.
Whether you’re developing an AI governance programme, preparing for ISO/IEC 42001, aligning with the NIST AI Risk Management Framework (AI RMF) or seeking independent technical assurance of Large Language Models (LLMs), our assessments provide practical recommendations backed by recognised industry frameworks.
Together, these services help organisations:
- Discover where AI is being used
- Assess operational, regulatory and security risks
- Build stronger AI governance
- Validate AI systems against emerging attack techniques
- Prioritise remediation based on business risk
- Demonstrate responsible AI to customers, regulators and stakeholders
| If you want to... | Recommended service |
|---|---|
| Understand where AI is used and assess the risks it introduces | AI Impact & Risk Assessment |
| Test whether your AI systems are secure against AI-specific attacks | AI Security Testing |
AI Impact & Risk Assessment
Why Organisations Need an AI Impact & Risk Assessment
An AI Impact & Risk Assessment helps organisations understand where Artificial Intelligence is being used, identify operational and regulatory risks, and determine whether appropriate governance and security controls are in place. It provides the evidence needed to prioritise remediation, support compliance initiatives and build a trusted AI governance programme.
Understand where AI is used and assess AI risk across your organisation
Before you can manage AI risk, you first need to understand where AI is being used, what information it processes and the impact it could have on your organisation.
Risk Crew’s AI Impact & Risk Assessment identifies AI systems processing sensitive or business-critical information, evaluates their operational, regulatory and organisational impact, and translates those findings into practical, prioritised risks.
The result is a structured understanding of your AI landscape that supports stronger governance, improved compliance and future AI assurance activities.
Our assessment aligns with:
- ISO/IEC 42001
- NIST AI Risk Management Framework (AI RMF)
- EU AI Act (where applicable)
- UK GDPR Data Protection Impact Assessments (where personal data is involved)
Is this service right for you?
This assessment is designed for organisations that:
- Need visibility of AI usage across the business
- Are developing an AI governance programme
- Process sensitive or restricted information using AI
- Want to understand AI-related business and compliance risks
- Are preparing for ISO/IEC 42001 implementation or AI security testing
What you’ll receive
Following the assessment, you’ll receive:
- A documented inventory of AI systems, use cases and accountable owners
- A comprehensive AI Impact & Risk Assessment Register
- Prioritised recommendations to reduce AI-related risk
- A Management Summary Report for leadership and governance committees
- A stakeholder workshop to review findings and agree priorities
- 30 days of post-engagement support to help implement recommendations
AI Security Testing
Test your AI systems against real-world AI attack techniques
Traditional penetration testing cannot identify many of the vulnerabilities unique to Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI and AI-powered applications.
Risk Crew’s AI Security Testing provides independent technical assurance by testing AI systems against recognised AI attack techniques. Our consultants assess vulnerabilities across the application, model, infrastructure and data layers to identify weaknesses before attackers can exploit them.
Testing aligns with:
- OWASP AI Testing Guide
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
- NIST AI Risk Management Framework
The testing also provides valuable evidence to support wider AI governance, regulatory and compliance initiatives.
What do we test?
Our testing evaluates AI systems for vulnerabilities including:
- Prompt injection attacks
- Prompt leaking
- Model manipulation
- Retrieval-Augmented Generation (RAG) poisoning
- AI agent abuse
- Training data poisoning
- Insecure model integrations
- Excessive agency and tool misuse
- Sensitive data disclosure
- Large Language Model (LLM) jailbreak techniques
Is this service right for you?
Choose this service if you:
- Have identified business-critical AI systems
- Need independent technical assurance
- Deploy Large Language Models (LLMs)
- Use Retrieval-Augmented Generation (RAG)
- Want to validate AI systems against emerging AI attack technique
What you’ll receive
At the conclusion of the engagement, you’ll receive:
- A detailed AI Security Testing Report
- Technical evidence supporting validated findings
- Proof of concept where appropriate
- Risk-rated remediation recommendations
- An Executive Summary suitable for leadership, customers and regulators
- A prioritised remediation roadmap
- 30 days of post-engagement support, including remediation guidance and re-testing advice
AI Risk Assessment vs AI Security Testing
Although these services complement one another, they solve different problems.
An AI Risk Assessment identifies where AI is used, evaluates organisational and governance risks, and helps prioritise improvement activities.
AI Security Testing focuses on technically testing AI systems to identify vulnerabilities that could be exploited by attackers.
Many organisations begin with an AI Risk Assessment before selecting business-critical AI systems for technical security testing.
| AI Impact & Risk Assessment | AI Security Testing | |
|---|---|---|
| Primary purpose | Identify AI usage and assess organisational risk | Validate the technical security of AI systems |
| Best suited for | Organisations establishing AI governance | Organisations with business-critical AI systems |
| Reviews governance | ✓ | — |
| Technical security testing | — | ✓ |
| Creates AI asset inventory | ✓ | Uses existing inventory |
| Produces AI risk register | ✓ | — |
| Produces technical findings | — | ✓ |
Frequently Asked Questions
An AI Risk Assessment identifies where Artificial Intelligence is being used within your organisation, evaluates operational, regulatory and business risks, and recommends appropriate governance and security controls.
AI Security Testing validates whether AI systems can withstand attacks that traditional penetration testing does not cover, including prompt injection, model manipulation, RAG poisoning and AI agent abuse.
In many cases, yes. The AI Impact & Risk Assessment identifies which AI systems are business-critical and should be prioritised for technical testing. If you already have a comprehensive inventory of AI systems, you may proceed directly to AI Security Testing.
No. Traditional penetration testing remains essential for applications, infrastructure and networks. AI Security Testing focuses specifically on AI-related attack techniques and complements existing penetration testing.
Our services align with ISO/IEC 42001, the NIST AI Risk Management Framework, the OWASP AI Testing Guide, the OWASP Top 10 for LLM Applications and MITRE ATLAS. Where applicable, recommendations also support compliance with the EU AI Act.
Yes. Our assessments can be tailored to a wide range of AI technologies, including Microsoft Copilot, ChatGPT Enterprise, Retrieval-Augmented Generation (RAG) applications, AI agents and custom AI solutions.
We recommend reviewing AI governance regularly and reassessing AI systems whenever significant new AI capabilities, models or integrations are introduced, or when regulatory requirements change.
Start Building Secure, Well-Governed AI
Request an AI Impact & Risk Assessment or AI Security Testing