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AI attacks now arrive as coordinated campaigns across identity, cloud, email, and endpoints. Security teams need execution speed, not just alerts. Meet the AI-Powered Operations Harness.

From version-controlled agents to governed remediation workflows, teams are building serious AI agents inside Kindo. See why someone called it “too powerful.”

Learn how we built the most powerful uncensored cybersecurity AI model that balances latency, cost, and capability with an active learning loop of dark web attack vectors.

Dive beneath the surface of Deep Hat v2, Kindo's foundation model for red team defense. Learn how we built the most powerful uncensored cybersecurity AI model that balances latency, cost, and capability with an active learning loop of dark web attack vectors.

Dive beneath the surface of Deep Hat v2, the most efficient frontier model for real-time defense. Learn how we built the only uncensored DevSecOps-tuned LLM to balance latency, cost, and capability, and the benefits from the shift from pretrain-only to conversational and agentic post-train.

Deep Hat keeps your intelligence where it belongs. Inside your environment, fully contained, fully autonomous. It operates at the system layer, and is adversary-trained, RAG-powered, and tuned for DevSecOps speed. No third-party dependencies, no censorship, no callouts. It runs at Enterprise-grade level inside Kindo, the AI-native terminal for Technical Operations.