Deep Hat, previously known as Whiterabbitneo, is an advanced cybersecurity model developed by Kindo, emphasizing real offensive reasoning and secure execution tailored for demanding security environments. This highly efficient AI model, now in its second version, boasts 30 billion parameters and has been meticulously trained on actual attack patterns and operator-inspired tasks. Deep Hat excels in long-context analysis, supporting complex scenarios in enterprise DevOps, red teaming, and threat intelligence challenges without compromising sensitive data.

The model operates securely within its own ecosystem, seamlessly integrating with command-line interfaces and existing security stacks, ensuring maximum privacy. Deep Hat's architecture allows for the automation of both offensive and defensive workflows while providing deep insights necessary for demanding technical work. With a focus on continuous improvement, Deep Hat remains uncensored, allowing full exploration of offensive reasoning and adversary emulation. As a proprietary solution grounded in open-source origins, it positions itself as the cornerstone for enterprises seeking reliable and robust AI-driven security operations.