Vorlon
Vorlon is an agentic ecosystem security platform that helps enterprises deploy AI agents and SaaS applications safely by protecting sensitive data in real time. The platform maps and monitors data flows between AI agents, enterprise applications, SaaS platforms, and cloud data stores, detecting threats, masking sensitive data in transit, and restricting agent access. Its patent-pending DataMatrix engine models the SaaS ecosystem — linking alerts, identities, APIs, data flows, and secrets — and a remote MCP server lets LLMs query security data and orchestrate investigations. Vorlon is backed by Accel and is SOC 2 Type II certified.
Vorlon is profiled on the APIs.io network. Tagged areas include Company, Security, SaaS Security, AI Agents, and API Security.
Vorlon’s developer surface includes engineering blog, support, and 12 more developer resources.
Kin Score
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
vorlon-mcp.yml
MCP SERVERSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Access & Security 3
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API