Nebulock
A Boston hunt-first, AI-native SecOps platform with Fortune 500 customers less than a year out of stealth.
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Nebulock, founded in 2024 and based in Boston, offers an AI-native, hunt-first security platform that correlates telemetry across silos and builds a behavioral context graph, helping SOC teams move from reactive alerting to always-on proactive threat hunting.
It raised a Series A and secured Fortune 500 healthcare and financial-sector accounts less than a year after exiting stealth.
Innovation Matrix Assessment
Built cross-telemetry correlation and a behavioral context graph to enable proactive hunting within about a year of stealth exit.
Early-stage; reported Fortune 500 healthcare and financial-sector wins but independently verified scale is limited.
Raised a $25M Series A in June 2026 led by FirstMark with Bain Capital Ventures, Decibel, Zetta Venture Partners, and Step Function, bringing total funding past $33M.
The 'hunt-first' contextual approach is a differentiated angle on SecOps but competes with several well-funded contextual-detection peers.
No independent efficacy benchmarks were found; claims of Fortune 500 adoption are company-stated.
Moving SecOps teams from reactive alert triage to proactive, context-driven hunting addresses a persistent analyst-effectiveness problem.
Why CISOs Should Care
Nebulock gives CISOs an AI-native, hunt-first contextual security platform that correlates telemetry across silos and builds a behavioral context graph, helping SOC teams move from reactive alerting to always-on proactive threat hunting.
What Makes It Different
Nebulock's multi-silo cross-telemetry correlation and behavioral context graph are built specifically to enable a 'hunt-first' operating model rather than the traditional alert-triage workflow most SecOps tools are built around.
The Matrix Verdict
47/100 — EMERGING / UNRANKED
A fast-scaling, well-backed Series A SecOps vendor that has already secured Fortune 500 healthcare and financial-sector accounts less than a year after exiting stealth.
Editorial Note: Claims vs. Verified Findings
No independently verified customer count or detection-accuracy figures were found beyond company statements about Fortune 500 account wins.
Sources
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