Wraithwatch is an autonomous cyber defense platform that utilizes continuous offense and defense swarms to map network layers, learn attack techniques, and generate automated defenses. The platform provides continuous defensive counterpressure for critical institutions by leveraging capabilities such as natural language SIEM queries, pre-attack risk detection, and post-attack response. Wraithwatch performs context-aware attack surface analysis by mathematically computing potential attack paths against a digital twin, ensuring a production-safe environment without the use of live exploits. Additionally, the system enables agentic threat hunting by dynamically exploring SIEM indexes to find anomalies and generates automated control plans that can be executed across existing security tools to neutralize threats and harden network environments.