Superagent is an AI safety platform that protects applications from prompt injections, data leaks, and harmful outputs through built-in guardrails. It functions as a prompt injection detection system, data redaction tool, and red team testing tool, automatically removing personally identifiable information and protected health data from AI inputs and outputs while scanning image uploads with vision AI to detect visual prompt injection attacks before processing.
The platform routes every prompt through a sequential pipeline of safety checks including injection detection, data redaction, and content filtering, with safety capabilities loaded as interchangeable plugins that can be composed into custom guardrail configurations. It intercepts all prompts at a network proxy layer before they reach the language model for inspection and filtering, and can filter and redact sensitive data from language model responses in real-time as they stream back to the client. The system also simulates adversarial scenarios against production AI agents to evaluate their security and robustness, and analyzes code repositories to identify and report AI agent-targeted attacks and security vulnerabilities.
Beyond its security core, the platform enables building conversational AI agents that answer questions, generate content, and automate workflows using large language models, with the ability to pull information from third-party APIs and vector stores to enrich responses. It supports querying documents through retrieval-augmented generation, maintains conversation context across turns, and provides a unified interface over multiple vector database backends for document storage and semantic search. All capabilities are exposed through both a REST API and client SDKs for Python, TypeScript, and Swift.