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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?

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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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