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A cybercriminal launches an AI-powered attack that slips past three security tools. But not yours. The detection system you built stops it before anyone knows they were targeted.
This isn't hypothetical. It's what happens here every day. During a single four-week proof of value at a Fortune 500 company, Abnormal caught millions in vendor fraud. The systems that made that possible were built by engineers like the ones you'd be working alongside.
Jnana Tekumudi, a Junior Email Security Analyst on our Bangalore team, caught early signals of an emerging attack pattern and built detections before campaigns ramped up, catching thousands of malicious messages per week. "Any time a detection I've created stops a large campaign before it hits more customers is a reminder of why the work matters," she says. Read Jnana’s story here.
We're reimagining cybersecurity from the ground up because legacy tools can't keep up with threats that use AI to target real people. We built our platform around understanding how people actually behave, not just scanning for known signatures. Every system you build connects to that mission: using good AI to fight bad AI before it reaches the people who depend on us.
Need proof? Browse our Customer Love wall to hear directly from the people experiencing our impact in real life.
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