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Red-Team Test Your AI Agents Before Customers Do

Check public-facing AI agents against messy customer inputs, policy bypass attempts, unsafe tool actions, escalation failures, and multi-turn drift.

AI agents can sound right while still breaking the rules.

Spec27 helps you test whether your agent can handle:

  • messy customer messages;

  • typos and paraphrases;

  • policy bypass attempts;

  • unsafe or unintended tool actions;

  • escalation failures;

  • multi-turn pressure;

  • regressions after prompt, model, or workflow changes.

Spec27 turns risky behaviours into repeatable tests.

With Spec27, teams can:

  • define what the agent should and should not do;

  • generate red-team scenarios;

  • test internal or third-party agents;

  • review where behaviour breaks;

  • re-run tests as the agent changes.

Same agent category. Different robustness risks.

AI support agents can be deployed in many ways, from agent-first platforms to in-house builds.

 

But the core question is the same: will the agent stay dependable when real customers use messy language, pressure the rules, trigger tools, or change direction?

Read our guide to building robust AI support agents.

Ready to test your agent?

Start red-teaming public-facing AI agents with Spec27.

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