AI EdgeLabs Platform is a runtime security and governance platform designed to protect distributed workloads and infrastructure, including GPU clusters, edge devices, Kubernetes environments, and sovereign/air-gapped deployments. The platform deploys a lightweight containerized agent directly on nodes, enabling local threat detection, prevention, and autonomous response without requiring cloud connectivity. Detection and response occur at the node level using kernel-level monitoring via eBPF and the Falco framework, combined with high-speed packet inspection using DPDK (up to 50 Gbps per node). Key detection capabilities include ransomware/malware, dangerous kernel events, advanced persistent threats, container and Kubernetes security issues, network attacks and anomalies, host-based misconfigurations, exploitation attempts, and vulnerabilities within hosts and containers. The platform supports autonomous remediation including malware quarantining, network attack blocking (IPS), and vulnerability exploitation evaluation — all without SOC intervention. An optional cloud dashboard provides fleet-wide visibility, AI-generated playbooks, compliance reporting (PCI DSS, HIPAA, CRA, NIS2), threat forensics, and audit logs. Additional capabilities include: - Kubernetes Security Posture Management (KSPM) with IaC mapping - Continuous vulnerability scanning of container images and configurations - SBOM and software inventory checks - LLM-based threat intelligence and forensic analysis - YARA rules-based detection - Behavioral models and syscall/eBPF analysis - Risk scoring and compliance center The platform supports agent and agentless deployments on Kubernetes, bare metal, VMs, containers, and Linux environments, with multi-tenant support and no open ports required.