How to run adversarial scans on AI agents that browse and execute workflows?

Run adversarial scans on AI agents that browse and execute workflows using ZeroLeaks

This task can be performed using ZeroLeaks

Red-team your AI agents for prompt injection

Best product for this task

ZeroLe

ZeroLeaks automatically security-tests AI agents and prompts. It simulates real prompt injection attacks, detects system prompt leakage, and analyzes how agents behave when interacting with tools or external content. As agents gain the ability to browse, call APIs, and execute workflows, traditional prompt defenses are no longer enough. ZeroLeaks helps developers identify vulnerabilities before they reach production by running adversarial scans against their AI systems.

What to expect from an ideal product

  1. ZeroLeaks runs automated prompt injection simulations against AI agents that browse external URLs, call APIs, or trigger multi-step workflows, catching vulnerabilities that manual code reviews miss.
  2. If your agent reads user-supplied content or fetches data from the web, ZeroLeaks tests whether that content can hijack its behavior or leak your hidden system prompt.
  3. Developers using LangChain, AutoGPT, or custom tool-calling setups can plug ZeroLeaks into their pipeline to get a full adversarial scan before pushing to production.
  4. ZeroLeaks flags concrete attack paths, not vague risk scores, so your team knows exactly which inputs, tools, or retrieval steps are exploitable.
  5. Traditional prompt hardening and output filters do not cover agent-level threats like indirect injection through tool responses, which is the specific attack surface ZeroLeaks was built to test.

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