BotGauge AI launched an AI agent red-teaming platform, now giving engineering teams a single system to attack, trace, evaluate, and govern AI agents from development through production.
The platform is designed to help teams notice these quiet threats before deployment. It ships with more than 200 adversarial and real-world, red-teaming strategies, covering prompt injection, policy bypass, tool misuse, and multi-turn manipulation.
When an attack surfaces a failure, BotGauge traces the exact prompts, tool calls, context, and execution path behind it, then converts the finding into an evaluation that runs on every future release.
"Agents don't fail the way traditional software fails. A small change to a model, prompt, or tool can send an agent down a path no one anticipated," says Pramin Pradeep, co-founder and CEO of BotGauge. "Most teams find these failures after they ship. We built BotGauge so they find them first, and never ship the same failure twice."
Key takeaways:
- More than 200 adversarial and real-world attack strategies spanning single- and multi-turn interactions, with support for custom strategies and business-specific attack scenarios.
- Detailed visibility into prompts, model responses, context, tool calls, and execution paths, helping teams identify if an agent failed and why.
- LLM-based evaluators that measure goal completion, accuracy, and policy adherence, allowing teams to track agent behavior across releases.
- BotGauge works with existing stacks via a lightweight SDK. The platform is SOC 2 Type II certified and supports SSO/SAML and fine-grained access control.
