Wraithwatch

Wraithwatch is a cybersecurity company that develops AI-driven defensive security software targeting the United States government, military, and allied institutions operating in critical sectors. The platform centers on three core capabilities: - Agentic Threat Hunting: The system dynamically explores SIEM indexes, identifies relevant data fields, and deploys automated worker processes to detect anomalies. Hunt results can be converted into forward-looking alerts, compressing detection engineering workflows from days into minutes. - Context-Aware Attack Surface Analysis: Wraithwatch computes attack paths based on asset topology, configurations, criticality, and verified reachability. Analysis operates against a digital twin of the environment — no live exploits or red team agents are used. Users can neutralize identified attack paths or deploy compensating detections where elimination is not feasible. - Control Plan Generation: Users describe security objectives, and the platform surveys configurations across deployed security tools to generate a control plan. Plans can be executed in full or incrementally, with support for phased rollouts and test group selection. The platform supports natural language SIEM queries, automated hardening plan generation, pre-attack risk detection, and post-attack response workflows. It is designed for deployment at critical institutions and is explicitly positioned for use by the United States and its allies. Wraithwatch was founded by engineers with backgrounds at Anduril Industries, SpaceX, Palantir Technologies, Google, and Morgan Stanley, with the CEO having served at Joint Special Operations Command in cyber warfare roles.