Backed by Y Combinator

Defend Your AI Agents

Stop prompt injections, malicious tool calls, and data leaks. With our safety model on your side, your agents stay protected in runtime.

10K+ GitHub Stars

The Threats Superagent Stops

AI agents can be hijacked, tricked into unsafe tool calls, or poisoned with malicious code. SuperagentLM — our SOTA safety model — analyzes every request and response.

Prompt Injections

Adversarial inputs that rewrite system prompts and hijack your agent's behavior at runtime.

Data Leaks

Secrets, credentials, and sensitive data leaking through agent outputs or tool responses.

Backdoors

Poisoned or backdoored outputs that embed vulnerabilities into your codebase or agent workflows.

Learn more about SuperagentLM
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Defend Your AI Agents in Runtime
Catch prompt injections, malicious tool calls, and data leaks before they impact your stack — powered by SuperagentLM.

Ways to Integrate

Inference Providers
Integrate at the API layer to filter requests and responses before they reach your models.
Agent Frameworks
Add runtime checks inside your agent framework to stop unsafe inputs and tool calls.
CI/CD Pipelines
Insert checks into GitHub Actions or other pipelines to block unsafe code before it ships.
Observability
Every integration connects to a single dashboard with audit trails, policies, and runtime visibility.

Deployment Options

Launch Superagent as a managed service or inside your VPC—choose the deployment that fits your controls.

Hosted
•Managed solution, no maintenance
•Start in seconds, scale automatically
•Perfect for teams without on-premise requirements
Self-hosted
•Deploy on-premise with full control
•Complete data ownership
•Enterprise-ready for strict requirements

Trusted by Developers Worldwide

Agentic teams trust Superagent to ship secure AI agents.

10K+

GitHub Stars

Community-driven development

2,000+

Discord Members

Active community support

1,200+

Forks

Collaborative contributions

MIT

Licensed

Free and open source

Defend Your AI Agents

Protect agents from prompt injections, leaks, and backdoors — in production and in your pipelines.

Open Source • MIT License