Case Study: Bank Support Agent strengthens AI security testing with LangWatch Red Teaming

A LangWatch Case Study

Preview of the Bank Support Agent Case Study

Bank Support Agent strengthens red team testing with LangWatch’s 50-turn adversarial runs

LangWatch provided its RedTeamAgent solution to a bank support agent facing the challenge of securing its AI system against sophisticated multi-turn adversarial attacks. The customer needed to move beyond basic, single-turn testing to simulate how real attackers gradually build rapport and escalate requests to bypass an agent's guardrails.

The solution implemented LangWatch's RedTeamAgent, which uses a structured Crescendo strategy to run multi-turn attacks, featuring phased escalation, per-turn scoring, and refusal-triggered backtracking. This approach successfully identified vulnerabilities that simpler tests missed, allowing the bank support agent to strengthen its defenses. The results were integrated directly into the customer's CI pipeline, providing continuous security testing alongside functional tests.


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