Vorlon
Verified Oct 15, 2026 ActiveMonitors and controls what AI agents and SaaS integrations can access at runtime, masking sensitive data before it leaves a system.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No pricing is published; the platform is sold through direct sales rather than self-serve sign-up.
Use tool ↗About Vorlon
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.
- Platforms
- Web
- API
- Not confirmed
- Last verified
- Oct 15, 2026
Verified sources
- Product mechanics, integrations, and named customersvorlon.io ↗
- Headquarters, founding year, and Series A fundingcalcalistech.com ↗
Is Vorlon legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- TLS certificate
- Issued by Let's Encrypt, valid until Dec 26, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2022The vendor's own material, read by us
- Operated by
- Vorlon, United StatesOur research, card verified Sep 1, 2026
Pros & cons of Vorlon
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.
Pros
- Maps data flows across agents, apps, identities, and integrations including shadow AI
- Masks sensitive data in transit before a transaction completes
- Read-only API deployment claimed to give insights within 24 hours
- Integrates with existing SIEM, SOAR, ITSM, and identity providers
Cons
- No published pricing; every deal goes through direct sales
- 24-hour deployment and other performance claims are the vendor's own figures
- Focused on enterprise SOC teams, not useful for an individual developer
Best for
- Security teams running AI agents against sensitive SaaS or cloud data
- Enterprises needing SIEM/SOAR-integrated incident response for agent activity
- Organizations worried about shadow AI usage they cannot currently see
Not for
- Small teams wanting self-serve pricing or a free trial
- Companies without existing SIEM/SOAR infrastructure to integrate with