Superagent
UnclaimedRed team testing for AI agents to surface data leaks, harmful outputs, and unwanted actions.
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TL;DR - Superagent
- Red team testing for AI agents to find vulnerabilities.
- Identifies data leaks, compliance violations, and unauthorized actions.
- Provides findings, evidence, and remediation guidance, plus a shareable Safety Page.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Proactively identifies unique AI agent failure modes
- Provides concrete evidence and remediation steps for vulnerabilities
- Enhances customer trust and aids in sales/procurement with a shareable Safety Page
- Addresses security gaps not covered by system prompts alone
Cons
- Requires integration with production AI systems
- Potential for breaking something during testing (though addressed in FAQs)
- Cost is not publicly disclosed
Preview
Key Features
Specialized attack agents for black-box testingIdentification of data leaks (e.g., PII, API keys, internal context)Detection of compliance violations (e.g., unauthorized advice, brand-damaging language)Discovery of unauthorized actions (e.g., tool calls, database queries, API calls triggered by malicious inputs)Provision of findings, evidence, and remediation guidanceShareable Safety Page for customers to verify security controls and test results
Pricing
Paid
Superagent offers paid plans. Visit their website for current pricing details.
About Superagent
By Toolradar Team·
Superagent provides red team testing services specifically designed for AI agents. It attacks production AI systems to identify vulnerabilities such as data leaks, compliance violations, and unauthorized actions before they impact users. The service employs specialized attack agents to conduct black-box testing, simulating real-world failure scenarios.
This product is for companies deploying AI agents, particularly those concerned with the security, compliance, and reliability of their AI systems. It helps organizations prove the safety of their AI to customers and stakeholders, addressing unique failure modes that traditional software testing might miss. Superagent delivers findings, evidence, and remediation guidance to help teams fix identified issues.
Beyond just testing, Superagent enables companies to generate a "Safety Page" to share with customers, showcasing their security controls and test results. This page can be used in sales conversations, procurement reviews, and security questionnaires to build trust and demonstrate a commitment to AI safety.
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Superagent FAQ
How does Superagent specifically identify data leaks in AI agents?
Superagent's Red Team deploys specialized attack agents against your production system. These agents probe for instances where sensitive information, such as customer PII, API keys, or internal business context, might appear in agent outputs or leak into external conversations, even when the agent is functioning as designed.
What types of compliance violations can Superagent detect in AI agent outputs?
Superagent identifies instances where AI agent-generated text violates policy, regulations, or brand guidelines. This includes detecting unauthorized medical, legal, or financial advice, statements that breach industry regulations, or brand-damaging language that misrepresents products or services.
How does Superagent test for unauthorized actions taken by AI agents?
Superagent's black-box testing methodology involves embedding instructions in inputs (like emails or documents) to see if the agent executes actions without proper authorization. This can reveal tool calls triggered by malicious inputs, unauthorized database queries, or API calls that exfiltrate information.
Why is a system prompt insufficient for preventing the types of failures Superagent addresses?
A system prompt is merely another input and lacks cryptographic enforcement or sandboxing. It competes with other instructions in the context window and behaves non-deterministically, making it unreliable as a security boundary against sophisticated attacks or embedded malicious instructions.
What is a 'Safety Page' and how can it be used by Superagent customers?
A Safety Page is a shareable report that displays your AI agent's security controls and the results of Superagent's red team testing. Customers can use it in sales conversations, procurement reviews, and security questionnaires to demonstrate the provable safety of their AI systems.
Source: superagent.sh