AI-Native Cloud and Kubernetes Security With Autonomous AI Workers

RAD Security is an AI-native cloud security platform built to secure cloud, Kubernetes, and AI workloads across hybrid environments. Originally focused on Kubernetes security posture management and runtime protection under its earlier KSOC identity, the company has expanded into a broader detection-and-response platform. It uses behavioral fingerprinting to establish a baseline of normal workload activity, then flags deviations that signal compromise. The platform is delivered as SaaS and is designed to deploy quickly with a wide set of integrations.

At the core of the product are AI workers, purpose-built agents that go beyond copilots to investigate, triage, route, and take action on threats across an organization's stack. The platform continuously monitors behavior across clusters, surfaces identity threats, detects anomalies in real time, and can automatically quarantine or remove suspicious workloads and configurations. RAD positions this as a shift from drowning in alerts toward running security operations with autonomous, explainable AI handling repetitive investigation and response work.

The platform is aimed at security and platform engineering teams running modern cloud-native and Kubernetes-based infrastructure, including organizations in government, fintech, and e-commerce. Beyond runtime detection, RAD addresses software supply chain risk and the emerging need to secure AI systems, providing behavior-driven defense for AI workloads spanning underlying infrastructure through to deployed models. By unifying posture management, identity threat detection, and AI-driven response, it aims to reduce alert fatigue and accelerate how teams contain real threats.