Detecting APTs via Autonomous Edge Network Security Monitoring

Short summary

Network perimeters have dissolved with IoT and remote work, expanding attack surface for advanced persistent threats. Autonomous edge network security monitoring detects threats locally using AI-native fingerprinting and kernel-level packet filtering, responding in microseconds rather than the time centralized SOCs require to identify and act on threats.

• •APTs exploit time delays in centralized security monitoring by using low-and-slow tactics and encrypted traffic evasion
• •Edge-based autonomous detection processes telemetry locally, using AI fingerprinting instead of static signatures
• •Kernel-level filtering via eBPF/XDP enables microsecond mitigation at scale on resource-constrained devices

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