Tavro offers an open Agent Metadata Specification and an enterprise SaaS platform that inventories AI agents, scores their risk, and maps their actions to regulatory controls such as the EU AI Act. The solution provides real‑time risk exposure scores, audit‑ready documentation, and GRC workflow integrations with ServiceNow and Microsoft Copilot, enabling compliance teams to govern large fleets of AI agents across cloud environments.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises deploying AI agents often lack a unified way to capture each agent’s business purpose, regulatory obligations, and risk profile, making it difficult to monitor compliance, assess exposure, and audit autonomous actions across complex, regulated environments.
Solution
Tavro provides an open Agent Metadata Specification (AMS) that standardizes how AI agents describe their risk context, business function, technical configuration, and regulatory footprint. An open‑source catalog implements the specification, enabling discovery, lineage tracking, and API‑based access to agent inventories across cloud providers and AI platforms. Building on this foundation, Tavro’s enterprise SaaS platform automatically scores agent risk, maps actions to GRC controls—including EU AI Act requirements—and orchestrates compliance workflows through integrations with ServiceNow and Microsoft Copilot. The platform delivers real‑time risk exposure scores, dynamic risk tier classification, and audit‑ready documentation, allowing regulated organizations to govern autonomous systems at scale while maintaining interoperability through the open standard.
Target Audience
Primary customers are risk, compliance, and audit teams in heavily regulated sectors—such as banking, capital markets, healthcare, and energy & utilities—who need to govern large fleets of AI agents.
Features
- Open Agent Metadata Specification defining risk, business, functional, and technical contexts for each AI agent
- Open‑source agent catalog with discovery, lineage mapping, and RESTful API for inventory management across AWS, Azure, Google Cloud, and major LLM providers
- Automated risk scoring engine that evaluates system prompts, model capabilities, and data sensitivity to assign risk tiers (e.g., Prohibited, High, Other)
- GRC automation that maps agent actions to regulatory controls such as the EU AI Act and generates audit‑ready reports
- Real‑time risk exposure scoring linking agents to critical business processes and applications
- Deep integrations with ServiceNow IRM and Microsoft Copilot for seamless workflow orchestration and incident response
- Enterprise dashboard providing risk dashboards, lineage visualizations, and compliance status across the entire AI agent ecosystem