Services
AI Red Teaming
Anticipate the real risks of generative AI
Modern generative AI agents that are integrated into chatbots, customer support platforms, process automation, or development tools are increasingly connected with corporate APIs, third-party services, and internal data repositories. This fast-paced evolution introduces a new attack surface and major risks that are often underestimated.
Specialized evaluation of GenAI behavior
We systematically assess the robustness of systems that employ generative models, including Large Language Models (LLMs), multimodal models, and other AI architectures. We design and replicate under controlled conditions tailored attack scenarios, based on how models are used and integrated with applications and sensitive data stores.
The model’s resilience is evaluated against threats such as:
Bypassing authorization mechanisms to access protected data
Exfiltrating internal documentation and company know-how
Generating harmful or misleading content (hallucination)
Misusing model capabilities to evade limits or exhaust system resources
