3 minutes. That's all it takes to red team your AI agent

3 minutes. That's all it takes to red team your AI agent

What happens when you turn a swarm of adversarial agents loose on your AI app? In this walkthrough, I take DarkHound for a spin against a live AI agent - no custom scripts, no manual prompt engineering, just point-and-shoot red teaming that surfaces real vulnerabilities in minutes

Summary

  • Two-Click Connection - Connect your AI app via dashboard URL or install the CLI for deeper integration with your own stack

  • Adversarial Swarm - run in parallel against your endpoint, each targeting a distinct class of LLM weakness

  • Live Probe Monitoring - Watch every prompt, response, and verdict stream in as the attack unfolds - no waiting for a final report

  • Attack Taxonomy - Every probe is mapped to a category (prompt injection, jailbreak, data exfiltration, tool abuse, system prompt leak), so you know exactly what was tested and what broke

  • Caught vs. Survived - Each session ends with a clear scoreboard: how many attacks your model resisted, how many it fell for, and which probes need a closer look

  • Compliance-Ready Output — Findings export cleanly into the formats your security and audit teams already use





Know what your AI agent does before someone else does.

Try Darkhunt ->

Start free · Onboarding included

Know what your AI agent does before someone else does.

Try Darkhunt ->

Start free · Onboarding included

Know what your AI agent does before someone else does.

Try Darkhunt ->

Start free · Onboarding included