Technical Architecture · v1.0

Built for kernel-speed
deterministic security.

Aeon8 Sentinel is a five-layer security platform — from eBPF/XDP packet capture at the kernel path to cryptographically signed audit trails — designed for connected and fully air-gapped production environments.

Rust Kernel PathONNX ML InferenceQUIC Swarm MeshAir-Gapped Ready
~200nsXDP Packet Path|
~10xRust vs Python|
Sub-msSwarm Propagation|
312Automated Tests|
5 LayersDetection Pipeline|
Air-GappedDeployment Ready

Five-layer detection and response pipeline.

Every layer is independently deployable, auditable, and replaceable — designed around operator control with automation where it helps and human gates where it matters.

Endpoint Agent
Network XDP Tap
Cloud Telemetry
Threat Intel Feed
MISP / CSV IOC
↓ Telemetry Ingestion ↓

L1 · Ingestion Layer

Telemetry Ingestion & Normalization

L2 · Detection Layer

ML Anomaly Detection & Signature Engine

L3 · Correlation Layer

SIEM Correlation & Incident Enrichment

L4 · Response Layer

Autonomous Response & Swarm Propagation

L5 · Observability Layer

Telemetry Export & Audit Trail

Swarm Mesh

Node A
Node B
Node C

QUIC gossip · Sub-ms propagation

Policy sync · Signed evidence

Architecture layers in depth.

Each layer exposes well-defined interfaces for integration, replacement, and independent scaling.

L1

Ingestion Layer

Telemetry Ingestion & Normalization

All data sources — endpoints, network flows, threat feeds, and cloud telemetry — are normalized and ingested via a structured pipeline before processing.

XDP / eBPF Capture

Kernel-path packet inspection at line rate, zero copy

Endpoint Agent

Rust-native agent with minimal syscall footprint

Network Tap

Passive SPAN port and inline TAP modes

Threat Feed Ingestor

MISP, CSV IOC feeds — fully offline capable

L2

Detection Layer

ML Anomaly Detection & Signature Engine

Dual-path detection: fast-path signature matching runs in sub-microsecond time while the ML pipeline performs deeper behavioral analysis.

ONNX Runtime Inference

Optimized ML models exported to ONNX for CPU-efficient inference

RandomForest Classifier

Behavior-drift scoring tuned on MAWI / CICIDS2017 datasets

JA3/TLS Fingerprinter

Encrypted session classification against C2 pattern library

Signature Engine

Rule-based fast path for known IOCs and YARA patterns

L3

Correlation Layer

SIEM Correlation & Incident Enrichment

Raw detections are collapsed into incidents through MITRE ATT&CK–aligned correlation rules, enriched with GeoIP and threat intelligence context.

Event Correlation Engine

Temporal and causal correlation across signal sources

MITRE ATT&CK Mapper

Technique and tactic mapping for every incident

Offline GeoIP Enrichment

MaxMind-compatible dataset — no SaaS dependency

IOC Cross-Reference

Hash, IP, domain matching against loaded feeds

L4

Response Layer

Autonomous Response & Swarm Propagation

Validated incidents trigger deterministic enforcement actions locally and propagate decisions to peer nodes via encrypted QUIC gossip.

eBPF Policy Enforcer

Inline drop, rate-limit, or redirect without iptables overhead

SOAR Playbook Engine

Declarative playbooks with operator-approval gates

Swarm QUIC Gossip

Sub-millisecond peer propagation across node mesh

Quarantine Orchestrator

Network segmentation and host isolation actions

L5

Observability Layer

Telemetry Export & Audit Trail

Every detection, decision, and enforcement action is recorded with cryptographic signatures to a tamper-evident audit log and exported to your existing stack.

Signed Audit Log

Ed25519-signed action records — chain-of-custody ready

Prometheus / OpenTelemetry

Structured metrics and traces for all pipeline stages

Splunk / Zeek Export

Native adapters for common SOC telemetry pipelines

PostgreSQL Persistence

Structured incident storage with full query capability

Chosen for performance, auditability, and longevity.

No bloated runtimes. Every dependency is justified by a production requirement.

Kernel Path

Rust (aya-rs)eBPF / XDPLinux 5.15+

Detection Engine

ONNX RuntimeRandomForest (scikit)Python 3.11

Coordination

QUIC (quinn)Gossip ProtocolRust async

Storage

PostgreSQL 15TimescaleDBWAL replication

Observability

PrometheusOpenTelemetryGrafana

Delivery

DockerHelm 3systemd units

Three deployment patterns. One codebase.

Evaluated on a laptop. Deployed in air-gapped critical infrastructure. Same platform.

Quickstart

Docker Compose

Single-host deployment. Ideal for evaluation, staging, and small production environments.

1docker pull try2hk/aeon8sentinel
2docker compose up -d
3Access dashboard on :8080
Production

Kubernetes / Helm

Multi-node, highly available deployment with horizontal scaling and rolling updates.

1helm repo add aeon8 https://charts.aeon8.in
2helm install sentinel aeon8/aeon-sentinel
3kubectl get pods -n sentinel
Enterprise

Air-Gapped / Sovereign

Fully disconnected deployment. No mandatory cloud egress. Offline intel feeds, offline GeoIP, and local OCI registry support.

1Load OCI image to private registry
2Configure offline intel feed paths
3Deploy — zero external calls required

Security properties of the platform itself.

Designed to be trusted in adversarial environments — including when a node is compromised.

No LLVM Dependency

Rust aya-rs eBPF loader path eliminates the LLVM toolchain from production nodes — reducing attack surface.

Signed Telemetry

Every action record is signed with Ed25519. Chain-of-custody preserved for forensic and compliance workflows.

Zero External Egress

Runs fully disconnected. No mandatory cloud calls, no telemetry callbacks, no license server dependencies.

Least Privilege

Each component runs with minimal Linux capabilities. eBPF programs are verified before loading.

OWASP Top-10 Clean

All API paths are Bandit-audited. Input validation, parameterized queries, and rate limiting on every endpoint.

Operator-Gated Actions

High-impact actions (host isolation, network block) require explicit operator approval when configured.

Ready to deploy Aeon8 Sentinel?

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