AI Security, Red Teaming & Governance

Adversarial testing purpose-built for AI systems, aligned to AIUC-1

Traditional penetration testing doesn't cover AI. Our AI Red Team conducts purpose-built adversarial assessments against your AI and LLM systems, simulating the techniques real-world attackers use to manipulate, extract from, and compromise AI. Our testing methodology aligns to the AIUC-1 standard, the world's first AI agent security framework, covering security, safety, reliability, accountability, and data privacy across your AI estate.

What's Included

• Prompt injection & jailbreak testing
• Data extraction and privacy leakage assessment
• Model manipulation and adversarial input testing
• Training data poisoning risk assessment
• AI agent security assessment aligned to AIUC-1
• AI supply chain and dependency analysis
• OWASP Top 10 for LLM Applications coverage
• Detailed risk-rated report with remediation guidance

ISO 42001-aligned AI governance frameworks

As AI regulation accelerates globally, organisations need structured governance. Stealth Cyber helps you design and implement an AI Management System (AIMS) aligned to ISO/IEC 42001, the international standard for responsible AI. We build the policies, processes, and controls needed to govern AI risk, address bias, ensure transparency, and demonstrate accountability.

What's Included

• ISO/IEC 42001 AIMS gap assessment and implementation
• AI risk register and impact assessment framework
• AI policy and ethics documentation
• Bias, fairness, and explainability controls
• Data governance integration for AI workloads
• AI lifecycle monitoring and incident management
• Board-level AI risk reporting

Adopt AI with confidence, not risk

Before you deploy AI, you need to know if your organisation is ready. Our AI Readiness Assessment evaluates your data governance maturity, security controls, regulatory obligations, risk appetite, and organisational capability, giving you a clear roadmap to adopt AI safely and strategically.

What's Included

• Data governance and quality assessment
• Security control evaluation for AI workloads
• Regulatory and compliance landscape mapping
• Organisational AI capability and skills gap analysis
• AI use case risk classification
• Third-party AI vendor risk assessment
• Executive-ready AI readiness roadmap

Train your team to think like an AI attacker

Stealth Cyber trains the next generation of AI Red Team Engineers. Our hands-on training programmes equip security professionals with the skills to adversarially test LLMs, ML models, and generative AI systems. Delivered in-person or remotely, our courses combine theory with real-world labs and scenarios.

What's Included

• Hands-on adversarial AI testing techniques
• Prompt injection and jailbreak methodologies
• LLM and generative AI attack simulation
• ML model evasion and manipulation techniques
• AI-specific threat modelling aligned to AIUC-1
• Real-world lab environments and scenarios
• Certificate of completion for all participants