AI red team service

The AI red team service exposes hidden safety and security threats across the entire lifecycle of artificial intelligence (AI) systems by applying an adversarial mindset to assess AI systems during:

•  design
• development
• deployment
• operations stage

By leveraging an adversarial mindset, the service assesses AI systems across all lifecycle stages, focusing on model evaluations, identity and infrastructure assessments, and production application testing. This comprehensive approach ensures that security principles are effectively applied to emerging technologies such as machine learning, large language models, generative AI, and agentic workflows.

The service decomposes AI systems into individual components and holistically evaluates them for attack vectors and vulnerabilities, including both AI-specific and traditional risks. It simulates advanced threat actors using novel and well-known adversary tactics to provide insight into worst-case scenarios without incurring actual security risks. Deliverables provide a realistic understanding of potential attack vectors and actionable approaches for resolution and defence against adversaries.

Across lifecycle phases, the service includes threat modelling during design to anticipate attacks and inform secure controls, evaluation of models and pipelines during development for safety, security, privacy, and alignment risks, assessment of deployed systems from a compromised-user perspective, and traditional red team exercises in operations to generate telemetry and realistic adversary simulations that improve detection and response capabilities.