Abnormal Security Secures $250M in Series D Funding to Expand AI-Native Human Behavior Security
Abnormal Security is at the forefront of AI-native cybersecurity solutions, focusing on human behavior analysis to preemptively stop attacks and protect corporate environments.
Company Name: Abnormal Security
Location: San Francisco, CA
Sector: Cybersecurity, AI Technology
Funding Details: Closed Series D funding at $250 million, at a valuation of $5.1 billion. The round was led by Wellington Management, with participation from Greylock Partners, Menlo Ventures, Insight Partners, and CrowdStrike Falcon Fund.
Purpose of Investment: The funding will be used to continue expanding operations and enhance development efforts, focusing on their AI-native human behavior security platform.
Leadership: Led by CEO Evan Reiser.
Product and Innovation: Abnormal Security specializes in leveraging machine learning to analyze human behavior and secure against sophisticated cyber threats across email and connected applications. Their platform provides anomaly detection that integrates seamlessly with cloud-based services such as Microsoft 365 and Google Workspace, along with additional protections for various other cloud applications including Slack, Salesforce, and AWS.
Company Growth: With a significant year-over-year increase in annual recurring revenue, now exceeding $200 million, Abnormal Security continues to scale rapidly. The company protects over 2,400 organizations worldwide, including 17% of the Fortune 500. Recent expansions into Europe, Asia, and Australia and ongoing efforts to achieve FedRAMP compliance highlight their growing global footprint and commitment to security.
About the Company: Abnormal Security is at the forefront of AI-native cybersecurity solutions, focusing on human behavior analysis to preemptively stop attacks and protect corporate environments. Their technology pinpoints unusual behavior and potential threats by understanding the context and identity of each user, providing robust security measures that adapt to evolving cyber threats.