We’re on a mission to eliminate unknown unknowns
For too long, security teams have had to live with false negatives, “unknown unknowns” created by disjointed tools and fragmented processes. Attackers exploit the seams between systems, hiding in plain sight behind what looks like trusted behavior.
At Nebulock, we treat those gaps as failures made more dangerous by agentic adversaries. We bring proactivity at scale by correlating threat intelligence with organizational context and memory, so every defender can find and eliminate the threats others miss.
Meet Nebulock
A team of AI builders and security practitioners from CrowdStrike, Palo Alto Networks, Expanse, Sublime, and Splunk.
We're flipping the model by focusing on behavior and TTPs instead of IOCs. The ability to hunt across endpoint, identity, cloud, network, and SaaS gives security teams the ability to correlate weak signals into actionable hypotheses and turn discoveries into actionable coverage. Expert-level threat hunting shouldn’t require additional headcount.
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Damien Lewke
Before Nebulock, Damien spent over a decade in cybersecurity with various security and product roles at Northrop Grumman, Crowdstrike, and Arctic Wolf. As an AI product builder, operator, and researcher, he’s experienced the pain of working across alert-driven, fragmented tools; not having enough time to proactively hunt; and how throwing people at a problem didn’t always solve it.
He knew there had to be a better way, so he pressure-tested the problem directly with security leaders and practitioners. He left with a clear thesis: reactive alert triage can’t keep up with machine-speed attackers. Great hunting requires agentic AI grounded in contextual security analytics.
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The new way to threat hunt
Because breaches happen in silence