AI Red Teaming

Strengthen Trust and Security in Generative & Agentic AI

As organisations adopt Generative AI, LLMs, and agentic systems, ensuring these technologies are secure, reliable, and ethical is critical. AI systems can be misled, manipulated, or exploited – potentially exposing sensitive data, producing harmful outputs, or triggering unintended actions.

Intertek’s AI Red Teaming service simulates real-world adversarial attacks to identify vulnerabilities before malicious actors can exploit them. Using proprietary AI-powered testing tools combined with decades of cybersecurity expertise, Intertek helps organisations secure their AI implementations while aligning with ISO/IEC 42001 and the EU AI Act.

Adversarial AI Testing

Intertek conducts controlled Red Team exercises to uncover how AI can be manipulated.

LLM Adversarial Payload Testing

Test if models withhold sensitive information
Prevent malicious, harmful, or unethical responses
Ensure compliance with safety and governance requirements

Agentic AI Integration Testing

Evaluate autonomous or semi-autonomous agents in system interactions
Identify potential exploitation paths or unsafe behaviours
Verify reliability, security, and adherence to intended boundaries

Continuous AI Assurance

AI evolves constantly, and so do the threats. Intertek’s subscription-based Continuous AI Assurance provides ongoing monitoring and testing to minimise risk and maintain resilience.

Options include: