AI EdgeLabs Platform vs Helmet Platform: 2026 Comparison

AI EdgeLabs Platform: AI-native runtime security platform for edge, GPU & Kubernetes workloads. built by AI EdgeLabs. headquartered in United States. Core capabilities include Kernel-level runtime monitoring via eBPF and Falco framework for syscall, process, container, and network event analysis, High-speed packet inspection using DPDK at up to 50 Gbps per node for detecting lateral movement, DNS tunneling, and data exfiltration, Autonomous threat response including malware quarantining, network attack blocking (IPS), and node-level isolation without SOC intervention..

Helmet Platform: AI infrastructure security platform for discovering, securing, and governing AI agents. built by Helmet Security. headquartered in United States. Core capabilities include Shadow AI agent discovery and detection, Unauthorized MCP server detection and enforcement, Agentless scanning of AI infrastructure..

Both serve the Cloud-Native Application Protection Platform market but differ in approach, feature depth, and target audience.