ClearVector Inc. has secured $13 million in funding to expand its identity-driven threat detection platform that focuses on real-time detection of threats by monitoring identity behaviors across different environments.
The cybersecurity startup aims to redefine cybersecurity by shifting from traditional threat detection to identity-driven security, addressing issues with existing security approaches that struggle to deal with identity-based attacks.
ClearVector's platform utilizes identity graph technology to monitor behaviors of human, machine, third-party, and AI identities within an organization, allowing for visibility, attribution, and anomaly detection to indicate malicious activity.
The Series A funding round was led by Scale Venture Partners LP, with participation from Okta Ventures, Inner Loop Capital, and Menlo Ventures LP, highlighting the industry's recognition of the value of ClearVector's approach to cybersecurity.