Wraithwatch

Wraithwatch is an AI-driven cyber defense platform built for critical institutions, targeting the US defense and allied sectors. It combines agentic threat hunting, attack surface analysis, and automated control plan generation into a unified defensive platform. Core capabilities include: - Agentic Threat Hunting: Dynamically explores SIEM indexes, identifies relevant data fields, and deploys parallel workers to detect anomalies. Converts hunt results into forward-looking alerts, compressing detection engineering timelines from days to minutes. - Context-Aware Attack Surface Analysis: Mathematically computes all possible attack paths based on asset topology, configurations, criticality, and verified reachability. Analysis runs against a digital twin of the environment — no live exploits or active red team agents are used. Enables users to execute attack path neutralization plans or deploy compensating detections where paths cannot be eliminated. - Control Plan Generation: Accepts natural-language goal descriptions, then sweeps through 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. - SIEM Integration: Supports natural-language querying of SIEM data. The platform targets pre-attack risk detection and post-attack response workflows, positioning itself as a continuous defensive tool for high-security environments such as defense contractors, aerospace, and critical infrastructure operators.