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◆ Runtime AI Protection

Catch Threats in Real Time, at the Kernel Level

Detect and stop threats in real time with our proprietary eBPF-based runtime security engine, providing deep kernel-level visibility and behavioral threat detection.

AI-Powered Runtime Security

BPFense — our own runtime security platform

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

  • eBPF Kernel Telemetry
  • AI-Powered Threat Detection
  • Behavioral Analytics
  • Zero-Day Threat Detection
  • Kubernetes & Edge Ready
  • Signed, Integrity-Verified ML Models
BPFense — Kernel to Response
1. eBPF Sensors — kernel telemetry
2. Go Runtime Engine — event streaming
3. ML Detection Engine — behavioral
4. Alerts & Response — automated
  • Anomaly Unrecognized behavioral pattern flagged
  • Model Signed ML model verified before load
Architecture

Kernel to response, one pipeline

Five stages, each running independently of the application it's watching — so a compromised or killed process upstream can't blind what happens downstream.

eBPF Sensors LSM + XDP hooks: process, file, network Go Runtime Engine Real-time event streaming & processing Feature Extraction Temporal + sequence signal extraction ML Detection Engine Behavioral anomaly & cross-signal correlation Alerts & Response Flag, alert, or act automatically

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.

Capabilities

Runtime protection, category by category

Kernel-Level Visibility

  • eBPF LSM + XDP Hooks
  • Process, File & Network Telemetry
  • No Userspace Agent to Install or Patch

Behavioral Detection

  • Temporal & Sequence Modeling
  • Cross-Signal Correlation
  • Zero-Day Threat Detection
  • Multi-Stage Attack Recognition

Real-Time Response

  • Adaptive Risk Scoring
  • Automated Flag, Alert, or Act
  • Structured Audit Logging

Model Integrity

  • Signed ML Models
  • Public-Key Verification Before Load
  • Tamper Detection

Deployment Flexibility

  • Kubernetes-Native
  • Cloud-Native Workloads
  • Embedded Edge Devices
  • Lightweight & Portable

Related: Enterprise Cybersecurity

Runtime AI Protection is one layer of the full device story. See the complete platform-to-compliance stack under Enterprise Cybersecurity.

Why Organizations Choose Us

Why Organizations Choose RiskLumen

  • Kernel-Level Visibility
  • AI-Powered Behavioral Detection
  • Zero-Day Threat Coverage
  • Signed, Verified ML Models
  • No Userspace Agent to Patch
  • Kubernetes & Edge Ready
  • Real-Time Automated Response
  • Built for Enterprise-Scale Fleets
FAQ

Common questions

What is BPFense?

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.

Is this just kernel monitoring, or more?

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.

How does this relate to Enterprise Cybersecurity?

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.

How does this relate to AI & ML Security?

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.

Where does this run?

Anywhere Linux runs — BPFense is lightweight and portable, from Kubernetes pods and cloud-native workloads down to a single embedded edge device.

What does pricing look like?

Project-based for deployment and integration, plus your own infrastructure usage — no seat-based licensing. Book a call and we'll scope it.

Ready to catch threats before they spread?

Tell us what you're running and where — we'll show you what BPFense would catch.