
AI-native agent harness automating security, DevOps, and IT ops workflows.
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Kindo, operated by Usable Machines, Inc., is an AI-native agent harness platform designed for technical operations teams including Security Operations (SOC), DevOps, and IT Operations. The platform enables organizations to deploy AI agents that automate workflows across security, development, and infrastructure environments. Kindo's core platform centers on two primary interfaces — Action Chat and Action Bot — which connect to existing enterprise tools such as Kubernetes, cloud APIs, CI/CD pipelines, ITSM ticketing systems, SIEM platforms, and job schedulers. The platform supports deployment in on-premises, self-managed, or SOC 2-certified cloud environments, giving organizations control over where their data and model inference occur. Key use cases supported by the platform include: - SOC automation: connecting signals, automating analyst workflows, and containing threats - Incident response: enriching alerts, suppressing false positives, and prioritizing incidents - Identity and access management: scanning posture, routing approvals, and enforcing least privilege - Vulnerability management: detecting cloud drift and proposing infrastructure-as-code remediation - Network security: mapping network topology and proposing secure access changes - Red teaming: running adversary simulations across logs, endpoints, and identities - GRC: auto-collecting compliance evidence and generating audit reports - Threat intelligence: converting threat intel into SIEM detections with mapped playbooks Kindo also offers Deep Hat, a separate uncensored offensive AI model built for red team operations. Deep Hat runs entirely within a customer's environment with no external calls, designed for adversarial reasoning, exploit path exploration, and foothold mapping. The platform is positioned for enterprise customers, with reported clients including IBM, Cisco, and Aireon.