Runtime Security for AI Workloads and Agents

AI EdgeLabs provides runtime security for AI workloads and autonomous agents, protecting hybrid cloud environments, GPU clusters, Kubernetes deployments, and sovereign infrastructure. The platform operates entirely within the customer environment, delivering sub-millisecond threat detection without sending data to external clouds.

The company's Parallax product secures AI agents by intercepting lifecycle events and blocking dangerous tool calls within milliseconds across frameworks such as LangChain and CrewAI. This sits alongside real-time network protection against lateral movement and data exfiltration, kernel-level workload security, runtime-based vulnerability prioritization using reachability analysis, a compliance center with pre-built mappings for CRA, NIS2, HIPAA, and ISO standards, and AI-driven investigation and automated incident response.

AI EdgeLabs differentiates through its single-container deployment, 0.8ms p99 detection latency, and negligible performance overhead on production systems spanning x86 and ARM architectures. It serves enterprises in critical infrastructure, AI operations, and regulated industries that require real-time protection without cloud dependencies.