QevlarAI: Moving SOC Teams From Reactive Mode To Proactive Defense
This week in cybersecurity from the editors at Cybercrime Magazine
Sausalito, Calif. – May. 5, 2026
SOC teams are overwhelmed by the volume of threat alerts they must manage. A Forrester analysis found that just three attack scenarios can trigger thousands of alerts, and Gartner estimates that 70 percent of threat detection and response cycle time is spent in the triage and investigation phases. Without a corresponding rise in resources, SOC teams are facing a growing capacity gap.
Qevlar AI, a leader in AI for transforming security operations centers (SOCs), has raised $30 million in funding for its autonomous AI SOC platform. The funding will be used to turn alert investigations into security insights that help SOC teams strengthen their overall security posture.
Cybercrime Magazine recently produced a 2-minute video featuring QevlarAI’s co-founder and CEO Ahmed Achchak giving us the backstory on his company and their platform.
“Today, most SOCs measure success by how many alerts they tackle and how quickly they are resolved,” Achchak said in a press release. “But this is a firefighting approach that tells you nothing about your security posture.”
QevlarAI is moving from autonomous alert investigations to an intelligent AI SOC platform that uncovers insights that transform how teams not only deal with alerts, but stop them from recurring. “We’re putting out the fire and finding out what started it to make sure it doesn’t happen again,” added Achchak.
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