Abnormal AI, founded in 2018 by former Google engineers Evan Reiser and Sanjay Jha, detects sophisticated email attacks and compromised accounts by modeling what normal behavior looks like across an organization, flagging deviations rather than relying only on known-bad signatures and blocklists the way traditional email security tools do.
That behavioral approach has scaled to real enterprise adoption: the company surpassed $100 million in annual recurring revenue and raised a $250 million Series D at a $5.1 billion valuation, backed by Wellington Management, Greylock, and CrowdStrike's Falcon Fund among others, bringing total funding to roughly $580 million.
Pricing runs per employee annually, landing between $15 and $35 in most deployments, with larger enterprises negotiating rates closer to $12 to $20 per employee on longer commitments. For an organization that wants email and account-compromise threats caught by behavioral deviation, beyond known-signature matching alone, Abnormal AI's behavior-modeling approach addresses that directly.
