Stops prompt injections and data leaks in AI agents with an integrated safety agent, adversarial tests, and a shareable safety page.

AI Models & Foundations
Unique Feature Rating & Critique Ideal for Real-Time Guardrails (Guard, Redact, Analyze) 4.8/5 - Market Leader in Latency and Accuracy. Companies with Stringent Data Privacy Requirements.
Superagent is a specialized security platform for AI applications that helps companies deploy LLMs securely. By protecting against prompt injections and data leaks, the software bridges the gap between rapid innovation and regulatory security. The conclusion: For developers of agentic AI systems, Superagent will be an indispensable tool in 2026 for gaining the trust of enterprise customers and overcoming compliance hurdles. The core problem: Why AI security is critical today. In modern software development, companies face a major challenge: AI models are vulnerable to attacks that traditional firewalls cannot detect. Prompt injection and data leaks. Attackers can hide malicious instructions in documents or user requests. Without protection, these can cause the AI to disclose sensitive data or perform unwanted actions. Superagent addresses precisely this risk.
Superagent offers a three-part system that integrates directly into the workflow.
A new feature is Superagent Scan, which scans MCP services and repositories for vulnerabilities. tests. This protects coding agents from supply chain attacks.
By using Superagent, companies achieve measurable advantages in security and sales.
Users can share a public safety page that displays current test results and active protective measures. This significantly accelerates the procurement process for large customers.
Compared to standard guardrails, Superagent offers significantly lower latency and higher accuracy.
While open-source libraries are often difficult to scale, Superagent offers a turnkey solution with enterprise support and regular red-team assessments.
Superagent offers various sizes (0.6B to 4B parameters) to optimally balance cost and performance. This makes it attractive to both startups and large corporations.