Kernel-Level Visibility
- eBPF LSM + XDP Hooks
- Process, File & Network Telemetry
- No Userspace Agent to Install or Patch
Detect and stop threats in real time with our proprietary eBPF-based runtime security engine, providing deep kernel-level visibility and behavioral threat detection.
A distinct product we built, not a bolt-on feature: eBPF kernel visibility feeding ML models we train ourselves for behavioral detection, from kernel to response in one pipeline. Every stage runs independently of the application it's watching, so a compromised or killed process upstream can't blind what happens downstream.
Highlights
Five stages, each running independently of the application it's watching — so a compromised or killed process upstream can't blind what happens downstream.
The ML Detection Engine's models are signed and verified with public-key cryptography before they're ever loaded — a tampered or swapped model can't quietly redefine what "normal" looks like.
Runtime AI Protection is one layer of the full device story. See the complete platform-to-compliance stack under Enterprise Cybersecurity.
Our own AI-driven runtime security platform. eBPF (LSM + XDP hooks) gives kernel-level observability into process, file, and network activity; a high-performance Go runtime streams and processes those events; and we build and train the ML models behind its behavioral intelligence — temporal and sequence modeling, cross-signal correlation — to spot multi-stage attacks and zero-day threats that rule-based detection alone would miss. A real-time risk engine scores and can automatically respond, and the ML models themselves are signed and integrity-verified with public-key cryptography, so a swapped or tampered model can't quietly change what "normal" means.
More. It's a full pipeline — kernel-level eBPF sensors, real-time event processing, ML-based behavioral detection, and automated response — not just a log of what happened.
Same discipline, one layer of a bigger stack. Runtime AI Protection is the kernel-level detection engine; Enterprise Cybersecurity wraps it together with secure boot, access control, application security, network security, and compliance for the complete device lifecycle.
Different scope, same discipline. AI & ML Security protects the models your business runs; Runtime AI Protection uses our own ML models to protect the device and infrastructure underneath.
Anywhere Linux runs — BPFense is lightweight and portable, from Kubernetes pods and cloud-native workloads down to a single embedded edge device.
Project-based for deployment and integration, plus your own infrastructure usage — no seat-based licensing. Book a call and we'll scope it.
Tell us what you're running and where — we'll show you what BPFense would catch.