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ML/Anomaly DetectionEmbedded AutomationBehavioral ModelingRuntime SecurityEmbedded SystemsKubernetes SecurityEmbedded/OT CybersecurityeBPF (LSM, XDP)Linux Kernel

Description

Anil Kumar is an experienced professional with over 17 years in embedded systems and Linux kernel engineering, with the last 4+ years dedicated to automation cybersecurity. They recently developed BPFense, a runtime security platform leveraging eBPF (LSM hooks + XDP) for kernel-level telemetry, an ML-based anomaly detection pipeline, and a quantum-inspired behavioral engine to model system activity. BPFense is designed to detect multi-stage attacks, zero-day behaviors, and correlated threat patterns across various system signals, and is capable of running on Kubernetes as well as embedded and intelligent automation platforms. Anil is open to collaboration, contract work, or research partnerships, particularly in runtime security, OT/ICS security, automotive cybersecurity, or any domain requiring deep kernel and security expertise.