Superagent is a technical platform focused on the security of AI agents, offering red-team testing services and open-source security tools to help enterprises identify and protect against security vulnerabilities in AI systems.
It mainly offers two components: 1) enterprise AI agent red-team testing services, and 2) a developer-focused open-source security toolset and SDK to integrate into AI applications for real-time protection.
It primarily detects three core risks: data leakage (e.g., PII, API keys), harmful or inappropriate content outputs, and unauthorized or privilege-escalating actions by AI agents.
Developers can install the provided Python or TypeScript SDKs, call methods like Guard and Redact, or deploy the open-source guardrail models on their own infrastructure to achieve integration.
The open-source tools and SDK are free to use. The website also offers paid enterprise services such as red-team testing, and pricing details are best checked on the official site.
Its design accounts for performance, and the open-source guardrail models claim low latency (50-100ms) and support for parallel processing. Actual impact depends on integration method, data volume, and deployment environment.
Its protection scope aligns with frameworks like OWASP LLM Top 10, covering prompt injection, sensitive information leakage, supply-chain security, model poisoning, handling of inappropriate outputs, and other threats.
Suitable for enterprise security teams deploying or developing AI agents, AI application developers, researchers, and anyone seeking to assess and improve the security of their AI systems.
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