Nebulock

The Agentic Cybersecurity Engineering platform that lets SOC teams proactively identify and investigate threats before they escalate into incidents, using a context graph, an autonomous hunting agent, federated data enrichment, and a structured hunting methodology.

Nebulock is the Agentic Cybersecurity Engineering (ACE) platform that unifies threat hunting, detection engineering, insider risk, and alert triage workflows

The Agentic Detection Engineering Framework (ADEF) is Nebulock's open source framework that gives detection rules a durable, agent-readable journal of why they exist and how they were tuned.

AI assistants and coding tools generate endpoint activity with broad access, including file reading, command execution, and API communication, often evading detection.

The page provides updates on Nebulock’s news, articles, podcasts, and press releases, covering AI-powered threat hunting and cybersecurity.

Nebulock announces $25 million in Series A funding, led by FirstMark, to develop a contextual security platform.

Join Nebulock as Senior Backend Engineer - Data in Remote (US) or Hybrid (Boston). Help build the future of agentic threat hunting and autonomous security detection.

Join Nebulock as Senior Full Stack Engineer in Remote (US) or Hybrid (Boston, MA). Help build the future of agentic threat hunting and autonomous security detection.

Nebulock aims to make proactive threat hunting available to all organizations, introducing its team and investors.

Nebulock detects 95% of fully credentialed breaches with cross-layer context across EDR, IAM, cloud, network & SaaS. Reduce response time from days to minutes.

The page offers a technical demonstration of Nebulock’s Agentic Cybersecurity Engineering platform.

Nebulock is the Agentic Cybersecurity Engineering platform. Its hunt-first approach runs autonomous threat hunts, investigations, and detection engineering across endpoint, identity, cloud, and SaaS tools to find the threats alert-driven tools miss.

The Privacy Policy outlines licensing, fees, data processing, and legal obligations for Nebulock’s enterprise services.

The Data Processing Addendum outlines licensing, fees, data processing, and legal obligations for Nebulock’s enterprise services.

The Enterprise Terms cover licensing, fees, data processing, and legal obligations for Nebulock’s enterprise services.

The Form Enterprise Terms detail licensing, fees, data processing, and legal obligations for Nebulock’s enterprise services.

The Website Terms and Conditions of Use describe licensing, fees, data processing, and legal obligations for Nebulock’s enterprise services.

GitHubRepository owner

Boston-based Nebulock secures $25 million in Series A funding led by FirstMark to develop AI-focused cybersecurity solutions. Founder and CEO Damien Lewke highlights the startup’s mission to preemptively address emerging threats in the AI-driven landscape.

Jun 2026dealroom.coNews article

Nebulock secures $25 million in Series A funding, bringing its total raised to over $33 million. The company develops AI-driven security solutions tailored to contextual threat analysis. Investors back its approach to modern cybersecurity challenges through machine learning.

Jun 2026SecurityWeekNews article

Nebulock secures **$25 million in Series A funding** to advance its AI-driven cybersecurity platform, targeting enterprises facing escalating AI-powered and credential-based threats. The company develops tools designed to counter evolving attack methods. Demand for such solutions grows as businesses adopt AI systems and face rising sophistication in cyber threats.

Jun 2026citybizNews article