Onit Security Raises $11M for Exposure Management Platform

Onit Security has emerged from stealth with $11 million in seed funding, positioning itself around a persistent issue in cybersecurity operations: the growing gap between identifying vulnerabilities and actually fixing them. The company’s founding story ties directly to that problem, after a prior breach exposed how critical vulnerabilities can sit buried in backlogs long enough for attackers to exploit them.

The scale of the challenge is getting harder to ignore. Security teams are dealing with tens of thousands of unresolved vulnerabilities, with remediation timelines stretching into weeks or months. At the same time, attackers are moving much faster, often exploiting weaknesses within minutes. The underlying issue is not visibility. It is coordination. Teams still rely on manual processes to map assets, assign ownership, and push fixes across fragmented environments, which slows everything down.

Onit’s approach focuses on compressing that timeline. Its platform uses AI agents to prioritize exposures based on business context rather than generic severity scores, identify ownership across systems, and execute remediation workflows automatically. Instead of stopping at detection or ticket creation, the system is designed to carry actions through to resolution. Over time, it applies learned remediation patterns across similar exposures, which turns repetitive fixes into automated workflows.

For MSSPs and enterprise security teams, this signals a shift in how exposure management is being operationalized. The focus is moving from identifying risk to proving that risk is being reduced in measurable ways. Faster remediation directly affects metrics like mean time to remediation and overall attack surface exposure. As vulnerability volumes continue to rise, platforms that can translate detection into consistent, automated action will likely shape how security services are delivered and scaled.