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Monitors and controls what AI agents and SaaS integrations can access at runtime, masking sensitive data before it leaves a system.
Vorlon is a runtime security platform for AI agents and the SaaS and cloud systems they connect to. It maps data flows across agents, applications, identities, and integrations, including unsanctioned shadow AI usage, then blocks unauthorized agent actions, masks sensitive fields in transit, and can enforce read-only access before a transaction completes. It connects into existing SIEM, SOAR, ITSM, and identity tools for incident response and claims install-to-insights within 24 hours through read-only API connections. The company is based in Mountain View, California, founded in 2022, and has raised about $16 million including a Series A led by Accel. Customers cited on the site include ThoughtSpot, Splitit, and Dutchie. Pricing is not published and requires contacting sales.
No pricing is published; the platform is sold through direct sales rather than self-serve sign-up.
Use tool ↗Vorlon addresses a real and growing gap: security teams have little visibility into what an AI agent actually does once it is granted access to SaaS and cloud systems. The read-only, 24-hour deployment claim and named enterprise customers suggest a working product, but there is no pricing or self-serve trial, so evaluating it means going through a sales process.
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