Project under active development  ·  Preview build v0.9  ·  Public launch Q4 2026
v0.9 Preview · In Development

The AI that detects
zero-days before they exist.

Ethereon learns behavior — not signatures. By modeling every user, process, and packet in real time, it surfaces novel attack patterns 48–72 hours before any CVE is published — and contains them before damage spreads.

0%
Detection (Lab)
<0%
False Positives
<0min
MTTR
Behavioral AI · Federated Learning · Autonomous Response
99.9% DETECTION · <0.1% FP · <3MIN MTTR
Why Ethereon

Built for the post-signature era.

Legacy EDR/SIEM tools fire on patterns that already exist in databases. Ethereon fires on behavior — which means it sees the attacks no one has named yet.

Behavioral AI Core

Unsupervised models build a real-time baseline for every entity in your environment — users, processes, network flows, cloud APIs. Anomalies score by deviation, not by signature.

Zero-Day Lead Time

Heap sprays, ROP chains, novel C2 channels — Ethereon recognises exploit shape, not its CVE. Average lead time over public disclosure: 48–72 hours.

Autonomous Response

Detect, isolate, remediate, report — without waiting for a human to wake up. Sub-3-minute MTTR with built-in playbook framework.

Federated Learning

Models train across the global Ethereon fleet without leaking customer data — every new attack we see makes every customer safer.

Compliance-Native

One-click audit exports for ISO 27001, GDPR, PCI DSS, HIPAA, NIS2, and SOC 2. Evidence is collected continuously, not at audit time.

On-Device Inference

Edge inference modules run on endpoints with <3% CPU. Protection works even when the cloud connection is severed.

Engine Telemetry

What Ethereon sees in real time.

Simulated feed from a single mid-market deployment. The actual platform processes billions of events per day across the Ethereon cloud.

Ethereon Inference Plane · /var/log/ethereon.live LIVE · SIMULATED
12:45:23BLOCKEDZero-day payload neutralized in sandbox
12:45:19THREATAnomaly score 0.94 — lateral movement attempt
12:45:15SCANBehavioral baseline updated for entity:user:elena.r
The Pipeline

Six stages. Seconds to detect. Milliseconds to contain.

From raw telemetry to autonomous remediation, here's how Ethereon turns noise into outcomes.

Telemetry Ingestion

Endpoint, network, cloud, identity, and SIEM data is normalized and streamed into the inference plane in real time. Native collectors for Splunk, QRadar, Elastic, Sentinel, Wazuh.

Behavioral Baseline

Per-entity ML models build continuously-updated baselines: what's normal for this user, this process, this network flow, this cloud role. The baseline is the truth — anything else is noise to be scored.

Anomaly Scoring

An ensemble of Random Forest, LSTM, Isolation Forest, and a transformer-based context model produces a 0.0–1.0 anomaly score with confidence and MITRE ATT&CK tactic mapping.

{
  "entity": "user:k.tanaka",
  "event": "credential_access",
  "anomaly_score": 0.94,
  "confidence": "HIGH",
  "tactic": "T1003 - Credential Dumping",
  "recommended_action": "isolate_endpoint",
  "ts": "2026-04-25T11:24:08Z"
}

Zero-Day Pattern Recognition

A proprietary pattern library identifies exploit shapes (heap sprays, ROP chains, shellcode signatures, novel C2 cadence) without ever needing a CVE. Unsupervised clustering surfaces never-before-seen TTPs.

Autonomous Response

Confirmed threats trigger response playbooks: network isolation, process termination, evidence preservation, MFA invalidation, alerting. All within seconds, all auditable.

Compliance Reporting

Evidence is collected continuously and exported on demand into ISO 27001 / GDPR / PCI DSS / HIPAA / NIS2 / SOC 2 audit packs. Auditors get one URL, not a year of email threads.

For Investors & Partners

The full Ethereon thesis — in 13 slides.

Market opportunity, defensibility, traction, financials, and the next 36 months. Hosted on the CybernytronX site (parent organization).

Pitch deck hosted at cybernytronx.com/pitch-deck.html — confidential, do not distribute.

Verticals

Built for the industries hackers want most.

Banking & Finance

Real-time fraud-pattern detection, transaction-graph anomaly modeling, and regulator-ready evidence packs.

Learn more

Government

Nation-state APT detection, air-gapped deployment, federated learning across agency silos.

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Telecom

Critical-infrastructure protection, signaling-plane monitoring, lawful-intercept alignment.

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Healthcare

HIPAA-aligned audit pipelines, medical-device behavioral fingerprinting, ransomware-resilience.

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Startups & SaaS

SOC-in-a-box for teams without a 24/7 analyst rotation. Mid-market pricing, enterprise capability.

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Critical Infrastructure

OT/IT convergence, ICS/SCADA behavioral profiling, NIS2 alignment for EU operators.

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Insights

Threat intelligence, AI security, and the road ahead.

Long-form research and weekly threat briefings live on the CybernytronX blog — Ethereon's parent organization.

Public Launch · Q4 2026

Be first when Ethereon goes live.

We're working with a small group of design-partner customers right now. Drop your email and we'll send you the launch invite the moment we're public.