Nebulock is a cybersecurity company based in Boston, Massachusetts, that has developed what it describes as the world's first autonomous threat hunting platform. The platform uses artificial intelligence to continuously monitor security environments around the clock, aiming to identify threats that traditional tools miss. It operates across multiple layers - endpoint, identity, cloud, network, and SaaS - to detect credential misuse, lateral movement, insider threats, and post-access activity.
The company's core technical focus spans AI-driven threat hunting, autonomous threat detection, behavior-based detection, and cross-layer security analysis. Its platform is designed to surface false negatives from existing security stacks and translate successful hunts into hardened, behavior-based detections. According to Nebulock, the system detects 95% of fully credentialed breaches by applying cross-layer context.
A key claim is the compression of incident response times from days to minutes. The platform continuously hunts across an organization's security infrastructure, seeking to provide security operations teams with actionable findings rather than requiring manual threat-hunting efforts. Nebulock positions its technology as addressing a gap in conventional security operations, where fully credentialed breaches - attacks using legitimate credentials - often evade detection.
