Abnormal AI

Abnormal AI is built by people who spent years in adtech building AI that learned human behavior and detected anomalies in milliseconds. When they moved into cybersecurity, they saw the obvious play: the same AI that understands normal behavior can stop the attacks that exploit it.

The company was founded in 2018 with a clear mission—behavior is the future of cyber defense. Today, they protect more than 25% of the Fortune 500, stopping millions of attacks and preventing billions in financial losses. They're truly AI-native, meaning every team—product, CS, finance—runs with AI agents built into operations, not just bolted on top. That compounds into faster innovation and real results.

They offer three core product lines: Identity Threat Protection (stopping account takeovers and impersonations), AI Governance (securing AI transformation), and Infiltration Prevention (blocking bad actors). Built on top of Attune, their behavioral AI foundation model, the platform deploys in 60 seconds via API with no MX changes needed. They also run an AI Data Analyst for on-demand insights.

What makes them different? They move fast because the threat doesn't wait. They own outcomes. They measure success by customer results, not internal metrics. And they're building toward a world the industry isn't ready for yet—one where AI does the heavy lifting, freeing humans for strategy and judgment.

For AI and ML engineers in Malaysia and Singapore, this is where behavioral security meets production scale.