How We Approach LLM Red Teaming

LLMs are probabilistic systems, not deterministic ones, making their behavior flexible but harder to predict under adversarial inputs. 

A key part of our process is defining structured risk categories before testing begins. Without clear classification, red teaming becomes noisy and inconsistent. We group risks into areas like prompt injection, data leakage, harmful output generation, tool misuse, instruction confusion, and context manipulation. This ensures that every test maps back to a specific failure mode and can be systematically analyzed.

Define Clear Risk Categories

LLM red teaming is not a one-time audit activity. It is an engineering loop: Test → Break → Analyze → Fix → Repeat As models become more capable and more integrated into products, the attack surface expands continuously. A strong red teaming practice ensures you stay ahead of that curve instead of reacting after failures reach production.

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Priya Kumar

Head of Compliance & GRC