#include <linux/bpf.h>
#include <bpf/bpf_helpers.h> SEC("xdp_drop")
int xdp_drop_prog(struct xdp_md *ctx) { void *data_end = (void *)(long)ctx->data_end; void *data = (void *)(long)ctx->data; // In a real scenario, perform deep packet inspection here // If malicious pattern found: return XDP_DROP; return XDP_PASS;
} char _license[] SEC("license") = "GPL";
#include <linux/bpf.h>
#include <bpf/bpf_helpers.h> SEC("xdp_drop")
int xdp_drop_prog(struct xdp_md *ctx) { void *data_end = (void *)(long)ctx->data_end; void *data = (void *)(long)ctx->data; // In a real scenario, perform deep packet inspection here // If malicious pattern found: return XDP_DROP; return XDP_PASS;
} char _license[] SEC("license") = "GPL";
#include <linux/bpf.h>
#include <bpf/bpf_helpers.h> SEC("xdp_drop")
int xdp_drop_prog(struct xdp_md *ctx) { void *data_end = (void *)(long)ctx->data_end; void *data = (void *)(long)ctx->data; // In a real scenario, perform deep packet inspection here // If malicious pattern found: return XDP_DROP; return XDP_PASS;
} char _license[] SEC("license") = "GPL";
# Example NAPSE Config snippet
interface: eth0
mode: autonomous
reflex_threshold: 0.85
ai_reasoning: true
storage: local
# Example NAPSE Config snippet
interface: eth0
mode: autonomous
reflex_threshold: 0.85
ai_reasoning: true
storage: local
# Example NAPSE Config snippet
interface: eth0
mode: autonomous
reflex_threshold: 0.85
ai_reasoning: true
storage: local - Snort: The veteran. Excellent for signature-based detection but historically single-threaded, though Snort 3 has addressed many performance issues.- Suricata: A multi-threaded powerhouse that excels at high-speed intrusion detection (IDS) and prevention (IPS). It supports multi-tenancy and is widely used for enterprise-grade network monitoring.- Zeek (formerly Bro): Less of an IDS and more of a network analysis framework. Zeek provides rich metadata about network traffic, making it invaluable for threat hunting, though it requires more resources for real-time blocking. - Edge Pod: Handles raw packet capture and initial XDP filtering.- Neural Pod: Executes the Neural-Kernel for sub-10us threat reflexes.- Analytic Pod: Performs deeper LLM-based reasoning on suspicious flows.- Storage Pod: Localized, deduplicated logging to reduce egress costs.- Defense Pod (AEGIS): Orchestrates autonomous response actions across the fabric.- Management Pod: Provides a unified view for the SOC team.- Integration Pod: Connects with existing tools via API and webhooks.
