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Nebulock Raises $25 Million for AI-Native Contextual Security


Cybersecurity startup Nebulock has announced raising $25 million in a Series A funding round that brings the total raised by the company to over $33 million.

The new investment round was led by FirstMark, with additional support from previous backers Bain Capital Ventures, Decibel, Step Function, and Zetta Venture Partners.

Boston, Massachusetts-based Nebulock emerged from stealth mode a year ago, focused on autonomous, vendor-agnostic threat hunting across endpoint, cloud, and identity.

Since then, the startup has expanded its AI-powered solution to deliver proactive detection engineering and behavioral security analytics.

[ Read: Agentic AI Security: Wrong Context, Wrong Decisions at Machine Speed ]

To help defenders understand behavior, the platform hunts for and correlates human and AI accounts, identities, and hosts, delivering detection rules to test, edit, and fine-tune.

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Nebulock turns enterprise context into a behavioral system of record, providing visibility into activities across endpoint, identity, cloud, network, and SaaS ecosystems, and surfacing seemingly unremarkable actions that point towards potential compromise.

The startup will use the new funding to expand its platform’s capabilities, deepen cross-telemetry correlation and behavioral context graph, and hire new talent across engineering and go-to-market teams.

“The attacker has become more agentic faster than defenders have become proactive. Breaches used to take months; now they take tokens. That’s why Nebulock was built to help security teams move beyond reactive-by-default workflows and toward context-rich, always-on protection that shows them what their stack can’t see,” Nebulock founder and CEO Damien Lewke said.

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