Nebulock is an AI-powered autonomous threat hunting platform designed to proactively identify hidden security threats across an organization’s entire technology stack. It continuously analyzes telemetry data from endpoints, identity systems, cloud environments, networks, and SaaS tools, correlating signals across these layers to uncover attacks that traditional tools miss. It uses agentic AI to automate the full threat hunting lifecycle, forming hypotheses, testing them against real-time data, and translating findings into validated behavioral detection rules without manual intervention. Its core architecture includes a contextual “behavior graph” that builds a baseline of normal activity and detects anomalies by comparing events across a unified timeline, enabling more accurate identification of insider threats, credential misuse, and lateral movement. Nebulock emphasizes behavior-based detection rather than relying on static indicators.