ClearVector has closed a $13 million Series A funding round led by Scale Venture Partners, with support from Okta Ventures, Inner Loop Capital, and Menlo Ventures. The company aims to accelerate development and adoption of its identity-driven security platform, which is designed to help organizations detect and stop threats by monitoring how identities behave within production environments. The new funding brings ClearVector’s total capital raised to $16 million and will support hiring across engineering, sales, and customer-facing teams.
With enterprises continuing to face rising identity-based attacks, traditional tools are struggling to keep up. Alert fatigue, fragmented solutions, and limited visibility into runtime activity remain persistent issues. ClearVector tackles these problems by shifting focus from static rules and threat signatures to identity behavior. Its platform observes how users, machines, and services operate in real time, identifying anomalies and enabling fast mitigation—without relying on siloed logs or predefined patterns.
Solving the Visibility Gap with Identity-Aware IntelligenceClearVector’s approach is built on the idea that every identity—human, machine, third party, or AI—leaves a behavioral signature. By continuously analyzing how these identities interact across cloud workloads, control planes, and SaaS applications, ClearVector builds a dynamic identity graph that powers real-time detection and response. This capability is especially critical in cloud-native and containerized environments, where traditional perimeter-based security models fall short.
Key features of the platform include a patented identity graph architecture, real-time threat detection with single-click mitigation, and adaptive risk modeling that evolves with the environment. Rather than chasing endless alerts, security teams gain the ability to trace actions back to specific identities and stop attackers before damage is done.
With this new investment, ClearVector is set to expand its footprint among organizations looking to modernize their security operations by aligning protection mechanisms with how identities actually behave in production.