InforCapital
Startup Fundraising

AI-Driven Threat Hunting Firm Nebulock Raises $8.5M in Funding - InforCapital

Nebulock, an AI-driven threat hunting platform, raised $8.5M to expand its autonomous threat hunting capabilities.

AM
Alvaro de la Maza

Partner at Aninver

Key Takeaways

  • Bain Capital raised $8.0M (Seed) from Bain Capital, In-Q-Tel (IQT).
  • Sector: Artificial Intelligence (AI), Technology Software & Gaming.
  • Geography: United States.

Analysis

Boston-based AI-powered threat hunting platform, Nebulock, announced that it has raised $8.5 million in funding, including $6 million in seed funding led by Bain Capital Ventures. Other participants include Decibel, In-Q-Tel, Zetta Venture Partners, Step Function, and Aviso Ventures, as well as various angel investors. The funding will be used to expand Nebulock's autonomous threat hunting capabilities, enhance its cross-telemetry correlation engine, and scale its engineering and go-to-market teams.

Nebulock was developed to address a glaring issue: organizations outside of the Fortune 100 often lack the resources and skills needed for proactive threat hunting. Current threat hunting workflows can take weeks to execute, and detection engineers often spend more time triaging alerts or rewriting brittle detection logic than creating new threat hypotheses. Nebulock aims to revolutionize this model by providing a proactive detection engine that writes and tests content automatically.

In the age of AI-enabled attackers, Nebulock provides continuous and multi-threaded threat hunting to ensure there's no single point of failure. This is vital at a time when adversaries are utilizing AI to rapidly develop and deploy threats that evade traditional detections. Security teams are often limited to tools that only react after alerts fire, and 90% of companies admit that they're not prepared for AI-powered threats. As attackers become faster and more covert, defenders need a system that can hunt without waiting for an alert.

Nebulock assists organizations in proactively understanding and acting on their own data through behavior-based threat hunting. The platform surfaces findings that others often miss. It offers features such as proactive insider threat detection, high-fidelity findings with true positive rates over 90%, fast and seamless deployment, natural language hunting and detection engineering, and a continuously learning threat engine.

“Every organization deserves proactive detection, not just reactive alerts,” said Damien Lewke, founder and CEO of Nebulock. The platform works around the clock as an autonomous threat hunter, delivering high-fidelity alerts in real time, enhancing human judgment, and enabling security teams to stay ahead of emerging threats.

Enterprises across financial services, healthcare, and technology are deploying Nebulock to bridge detection gaps and ensure that no threat goes unnoticed. With the new funding, Nebulock will enhance its AI capabilities, expand cross-telemetry coverage and scale the engineering team to meet demand. It will also expand integrations with leading SIEM, EDR, and IAM platforms.

Nebulock was founded by Damien Lewke, a former security leader at Arctic Wolf, with experience at CrowdStrike, Palo Alto Networks, and Northrop Grumman. His team includes alumni from leading companies such as CrowdStrike, Expanse, Expel, Dragos, and Mandiant.