Red teaming AI agents before they ship

Guardrails hold when something goes wrong — but they don't tell you whether something will go wrong before your users find out. That's what red teaming is for. Here's a pattern the Ejento team often sees: an agent passes every eval, answers accurately, stays grounded — and still gets talked into breaking its own rules by a user who knows how to push it. Evaluation asks "does this agent give good answers." Red teaming asks "can I make it misbehave." What you'll learn: