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Superagent is a red team testing platform designed specifically for AI agents, built to identify vulnerabilities and risks in AI-powered systems before they impact end users. Developed by a team backed by Y Combinator, it addresses critical issues such as data leaks, harmful outputs, and unauthorized actions that can occur even when AI systems appear to function correctly. The tool uses specialized attack agents to perform black-box testing on production AI systems, simulating real-world failure scenarios to uncover hidden weaknesses. Superagent provides detailed findings, evidence, and remediation guidance to help organizations strengthen their AI safety and compliance. It is ideal for developers, security teams, and organizations deploying AI agents who want to proactively ensure their systems are secure and reliable. The platform fits workflows that require rigorous AI safety validation and risk mitigation in production environments.
4.5/5
Thorough, actionable, and evidence-backed
Professional and focused on usability for security teams
To identify and remediate security and safety vulnerabilities in AI agent deployments through red team testing.
Integrates with production AI systems via black-box testing, fitting into security and development workflows.
Subscription-based with custom pricing tailored to enterprise needs.
Features with the highest value for users are highlighted here.
Red team attack simulations
Black-box testing methodology
Detection of data leaks
Identification of harmful outputs
Unauthorized action detection
Detailed evidence reporting
Remediation guidance
Production system testing
AI Developers
Security Teams
Compliance Officers
Product Managers
Enterprises
Startups
AI Researchers
DevOps Teams
Open Source Maintainers
Risk Managers
Starter
Enterprise
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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