What it sells
AI agent security.
Business model breakdown
Buyer: who owns the budget?
UnverifiedSecurity leaders (CISO/security team).
Trigger: what makes them buy now?
Unknown, unapproved AI agents and shadow SaaS with broad permissions; auditors asking what agents are doing.
Workflow: what inputs become what output?
Discover apps and AI agents and their permissions into a graph, assess/own them, then enforce policy at runtime on each prompt/action (block, warn, redact or allow) with a kill switch, prompt-injection detection and AI DLP.
Economics: what it saves and how it charges
UnverifiedEnterprise SaaS subscription for security teams (inferred; not stated); value argued via shadow-AI/SaaS visibility and risk reduction, e.g. Tampa General risk quantified at $150M.
Distribution: how it reaches customers
Demo-led ('Book a Demo', 'Get a demo'); partner ecosystem.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-10-15 | — | $55M | AT&T Ventures | news.google.com |
| 2026-10-14 | — | $55M | — | news.google.com |
| 2026-09-29 | — | $55M | — | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-17.