AI Red Teaming
Adversarial testing of LLM apps and agents: prompt injection, data leakage, jailbreaks and tool abuse, with a retest after fixes.
Test your AIADVISORY AI security
AI security advisory for teams shipping AI now.
When you need AI security expertise before the hire is in seat, our specialist network delivers focused engagements: red teaming your AI, governing it to ISO/IEC 42001, and designing it securely from the start.
- OWASP LLM Top 10
- MITRE ATLAS
- ISO/IEC 42001
Practitioner-led advisory01 Services
Four ways we help.
AI Governance
AI policies, risk registers, impact assessments and controls aligned to ISO/IEC 42001 and the NIST AI RMF.
Govern AISecure AI Architecture
Threat modelling and design reviews for RAG pipelines, AI agents and model hosting, before they reach production.
Review a designSecurity Team Design
Capability maps, org design and hiring roadmaps for security and AI assurance functions. Then we help you hire.
Plan a team02 FAQ
AI security, answered.
What is AI red teaming?
AI red teaming is adversarial testing of AI systems. We try to make your LLM application, RAG pipeline or AI agent misbehave: leak data, follow injected instructions, misuse its tools or produce harmful output. Findings are mapped to the OWASP Top 10 for LLM applications and MITRE ATLAS, with fixes and a retest.
What is ISO/IEC 42001?
ISO/IEC 42001 is the international standard for an AI management system. It sets out how an organisation governs the AI it builds or uses: policies, risk assessment, impact assessment, controls and continual improvement. We help you build one that works in practice and is ready for audit.
When should we get an AI security review?
Before an AI feature reaches customers or sensitive data, and whenever you give an AI system new tools or permissions. The cheapest time to fix an AI design flaw is before launch.