Superagent

We attack your production system to surface data leaks, harmful outputs, and unwanted actions. Fix them before your users encounter them

Superagent attacks a production AI system the way a real attacker would, to catch data leaks, harmful model outputs, and actions nobody approved before real users run into them, which is the research work at the center of this security tool. Rather than trusting a system prompt to prevent problems, it tests the live system directly.

The product covers the pipeline around an AI system rather than just the model: PR scans and secure dependency updates for what gets merged, contributor trust checks, runtime and context guardrails while agents are running, and red-team testing to probe for weaknesses proactively. The site notes that failures like exposed customer data, compliance violations, or unauthorized actions can happen even when a system appears to be working normally.

Superagent is free for open-source projects, with more than 3,000 already using it, while other use is paid. Read Superagent's docs and run a scan against your own repository to see what it flags.

Category: Research. Pricing: freemium. Visit website

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