Superagent

Superagent: Runtime Security and Compliance for AI Agents

What is Superagent?

Superagent is a runtime defense platform designed to protect AI agents from prompt injections, malicious tool calls, and data leaks. It provides purpose-trained models that offer real-time security and ensure compliance for organizations deploying AI in production. Backed by Y Combinator and open-source (MIT licensed) with over 10,000 stars on GitHub, Superagent offers low-latency and production-ready solutions that are simple to deploy.

How does Superagent work?

Superagent employs three key models to deliver comprehensive security:

• Guard: Detects and blocks unsafe inputs, prompt injections, malicious tool calls, and backdoors before they reach the AI models. It acts as a real-time threat interceptor, ensuring that only safe and validated data interacts with your AI agents.
• Verify: Continuously checks model outputs against trusted sources and enterprise policies to ensure every generation is factual and compliant. This validation process aligns AI outputs with your established standards and regulatory requirements.
• Redact: Automatically removes sensitive data, such as PII (Personally Identifiable Information), PHI (Protected Health Information), and secrets from text, logs, or documents. This redaction capability applies to both structured and unstructured data, providing a robust layer of data protection.

These models are available as standalone APIs and can be integrated into existing AI infrastructure without requiring extensive code changes. Superagent is language-agnostic and framework-agnostic, working seamlessly with various LLM providers, including OpenAI, Anthropic, and open-source models.

Key Features and Capabilities

• Real-Time Protection: Analyzes requests, responses, and tool calls in real time, removing sensitive data before it leaves your environment.
• Threat Detection: Intercepts prompt injections, backdoors, and jailbreaks as they happen, blocking malicious input at runtime.
• Continuous Verification: Validates model responses against trusted sources to ensure accuracy and compliance.
• Data Redaction: Automatically removes PII, PHI, and secrets from text, logs, and documents.
• Integration Flexibility: Integrates via API, SDKs (Python and TypeScript), and CLI, making it easy to add security to any system.
• Compliance Support: Maps to frameworks like the EU AI Act, ISO/IEC 42001, and NIST AI RMF, helping organizations meet regulatory requirements.

Why choose Superagent?

• Enhanced Security: Protects AI agents from a wide range of threats, including prompt injections and data leaks.
• Improved Compliance: Ensures that AI outputs align with company policies and regulatory standards.
• Seamless Integration: Works with existing AI stacks without requiring significant code changes.
• Open-Source Transparency: Offers full transparency and control with models, evaluation datasets, and benchmarks available on Hugging Face.
• Production-Ready Performance: Optimized for speed, delivering low-latency protection without slowing down applications.

Who is Superagent for?

Superagent is designed for organizations deploying AI in production. Common use cases include:

• Runtime protection for deployed agents against prompt injections and malicious tool calls.
• Continuous verification to ensure model outputs align with company or regulatory sources.
• Input/output sanitization to redact PII and sensitive data automatically before or after AI processing.

How to use Superagent?

Superagent offers multiple integration options to suit different needs:

• API: Add capabilities to any system with a single HTTP request. It’s language-agnostic and framework-agnostic, working with existing infrastructure without code changes.
• SDKs: Native Python and TypeScript libraries for seamless integration. Embed security checks directly into your application with typed responses and async support.
• CLI: Command-line tool for testing and automation. Validate prompts locally, integrate with CI/CD pipelines, or batch-process data in your workflow.

Frequently Asked Questions

• What is Superagent? Superagent provides capabilities that make AI secure and compliant. It offers three purpose-trained models — Guard, Verify, and Redact — available as standalone APIs that protect AI applications in real time with low latency.
• What do Guard, Verify, and Redact do? Guard detects and blocks unsafe inputs, prompt injections, malicious tool calls, and backdoors before they reach your models. Verify validates model outputs against your enterprise sources and policies to ensure every generation is factual and compliant. Redact removes sensitive data like PII, PHI, and secrets from text, logs, or documents automatically.
• How do I use Superagent? You can integrate Superagent capabilities through our API, SDKs (Python and TypeScript libraries for embedding into workflows), CLI (command-line tool for testing and automation), or Playground (interactive web interface to explore capabilities before integration). See our documentation for detailed integration guides.
• Will Superagent slow down my application? No, the models are optimized for production speed and deliver low-latency protection, ensuring agents and copilots stay fast while gaining enterprise-grade security.
• Is Superagent open-source? Yes, Superagent is released under the MIT license with over 10k stars on GitHub. The models, evaluation datasets, and benchmarks are available on Hugging Face for teams that want full transparency and control.

Conclusion

Superagent is a robust solution for ensuring the security and compliance of AI agents in production. By providing real-time threat detection, continuous verification, and automated data redaction, Superagent empowers organizations to deploy AI with confidence. Whether through its API, SDKs, or CLI, Superagent integrates seamlessly into existing AI stacks, offering enhanced security and compliance without sacrificing performance.