Nebulock Raises $8.5M for AI-Powered Threat Hunting

Nebulock, a Boston-based cybersecurity startup, has secured $8.5 million in total funding. The financing includes a $6 million seed round led by Bain Capital Ventures. Additional participation came from Decibel, In-Q-Tel, Zetta Venture Partners, Step Function, and Aviso Ventures.

The company developed its platform to help security teams proactively find threats that evade traditional defenses. Consequently, its AI-powered threat hunting addresses the growing challenge of adversaries using artificial intelligence to launch sophisticated attacks.

Funding to Scale Autonomous Detection

Nebulock will use the capital to enhance its autonomous hunting capabilities and cross-telemetry correlation engine. In addition, the company plans to scale its engineering and go-to-market teams to meet growing demand for its AI-powered threat hunting solution.

The platform uses behavior-based analysis and integrates directly with existing tools like CrowdStrike via API. This approach avoids deploying new agents, a common friction point with solutions from vendors like Palo Alto Networks. Therefore, its technology is designed to strengthen an organization's overall endpoint security posture.

It focuses on delivering actionable signals with a high true-positive rate.

Nebulock’s system automates detection engineering, a task often handled by specialized teams at firms like Mandiant. The platform uses natural language for queries and continuously learns from analyst feedback, adapting to new cybersecurity trends. As a result, it can identify insider threats and lateral movement early.