AI EdgeLabs Platform vs Deepfence: Side-by-Side Comparison (2026)

AI EdgeLabs Platform: AI-native runtime security platform for edge, GPU & Kubernetes workloads. built by AI EdgeLabs. 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..

Deepfence: Cloud-Native Application Protection Platform for vulnerability & runtime security. built by Deepfence. Core capabilities include Vulnerability scanning, Compliance scanning, Malware scanning..

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

AI EdgeLabs Platform differentiates with 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. Deepfence differentiates with Vulnerability scanning, Compliance scanning, Malware scanning.

AI EdgeLabs Platform is developed by AI EdgeLabs. Deepfence is developed by Deepfence. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

AI EdgeLabs Platform and Deepfence serve similar Cloud-Native Application Protection Platform use cases: both are Cloud-Native Application Protection Platform tools, both cover Runtime Security. Review the feature comparison above to determine which fits your requirements.