VeriSwarm provides a trust infrastructure designed for platform teams managing AI agents across diverse frameworks, models, and cloud environments. The platform addresses challenges in agent governance by offering a unified trust plane that evaluates agent actions, enforces policy decisions, and maintains compliance regardless of the underlying agent framework or model. It is positioned to solve issues such as determining agent trustworthiness, preventing misuse or data leaks, and providing verifiable evidence for compliance and investigations.
The system operates by having platforms send agent activity—such as tool calls, task completions, and interactions—via an API or MCP server. VeriSwarm standardizes event reporting with 22 event types and offers free, unlimited ingestion. Trust scores are computed in real time across four dimensions: identity, risk, reliability, and autonomy, using deterministic and explainable methods. Five scoring profiles are available, with the option for custom weighting. Before any sensitive agent action, VeriSwarm can return an allow, review, or deny decision within milliseconds, enabling instant policy enforcement and risk mitigation. Verified agents can proceed with fewer barriers, while high-risk agents can be reviewed or blocked immediately.
Integration options are broad, supporting every major agent framework—including LangChain, CrewAI, AutoGen, Semantic Kernel, Agentforce, Microsoft Copilot Studio, Bedrock Agents, and custom stacks—through a single SDK, MCP server, or API. The platform also supports various model providers such as Anthropic, OpenAI, Google Vertex, Mistral, Llama, and custom fine-tuned models, with a drop-in OpenAI-compatible proxy endpoint for chat completions. Deployment options include multi-tenant SaaS, on-premises Guard Proxy via Docker, and local stdio. Portable ES256 JWT credentials allow agents to present proof of trust to any platform, with offline verification supported.
Key features include stripping personally identifiable information before LLM access, blocking prompt injection in tool responses, server-rendered SVG trust badges for real-time display, and a kill switch for emergencies. Event ingestion and shared reputation are included at no cost, and the platform offers a free tier allowing up to 5,000 trust decisions per day. VeriSwarm aims to provide a consistent, cross-platform solution for agent trust, security, and compliance in complex AI ecosystems.
In the Security & compliance platforms space, VeriSwarm takes a focused approach. Helping organizations enforce trust, compliance, and policy across AI agent frameworks and models. VeriSwarm is a B2B product aimed at AI platform teams. VeriSwarm follows a freemium model. VeriSwarm is available on the web, the command line, and API.
VeriSwarm first shipped in 2026. The project is developed in the open on GitHub with 43 commits in the last 90 days. Key capabilities include trust scoring, policy enforcement, and PII protection. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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