Snode AI - Operational Intelligence

Purpose-Built
AI Models
for Security

Trained exclusively on security-domain data and deployed at the edge of threat detection, vulnerability research, and cyber defence operations.

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MODEL 01 - ANOMALY DETECTION

HeatSeeker

A lightweight, private anomaly detection model engineered for high-stakes environments. Heatseeker operates on-premise with zero data egress. It is purpose-built for cybersecurity, financial fraud detection, and defence-grade threat identification.

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Threat Surface Scan

ANOMALY DETECTION

Identifies statistical deviations across network traffic, user behaviour, and system telemetry in real time.

Private by Design

Runs entirely on-premise with no external data egress. Trained and inferenced within your air-gapped environment.

Lightweight Deployment

Optimised for constrained hardware — deploys at the edge on endpoints, network appliances, or embedded devices.

Fraud Detection

Purpose-tuned for financial anomalies: account takeover, payment fraud, synthetic identity, and insider threats.

Defence Application

Cleared for classified environments. Supports ISR data analysis, signal anomaly detection, and threat signature generation.

Continuous Learning

Adapts to your environment's baseline over time — fine-tuned on your own data with no shared model weights.

firestarter — offensive recon
fs@snode: ~ $ firestarter recon --target 192.168.1.0/24
[*] Initialising surface enumeration...
[*] Fingerprinting 254 hosts
[+] 192.168.1.14 — CVE-2024-1182 (CVSS 9.1)
[+] 192.168.1.37 — Exposed RDP, no MFA
[!] 192.168.1.82 — Lateral movement detected
[*] Generating exploit chain hypothesis...
[+] Attack path: 3 pivot points identified

fs@snode: ~ $ firestarter decompile --binary ./sample.exe
[*] Unpacking PE32+ binary...
[+] Family: Emotet variant — 97.3% confidence
[+] C2 infrastructure extracted
[*] Generating YARA rule...
fs@snode: ~ $

MODEL 02 - Offensive Security

FireStarter

An advanced offensive security and vulnerability research model trained to think like an attacker. Firestarter accelerates penetration testing, red team operations, reverse engineering, and cyber defence by automating the most intelligence-intensive stages of offensive security work.

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Penetration Testing

Accelerates every phase — recon, enumeration, exploitation, privilege escalation, and reporting.

Red Team Operations

Simulates advanced persistent threat behaviour — lateral movement, persistence, exfiltration, and C2.

Reverse Engineering

Decompiles, deobfuscates, and analyses malware — producing behavioural reports, IOCs, and YARA rules automatically.

Vulnerability Research

Identifies zero-days, chained exploits, and attack paths across complex software and infrastructure at machine speed.

Cyber Defence

Uses offensive knowledge to harden defences, validate controls, and expose detection gaps before adversaries do.

Automated Reporting

Generates executive-ready and technical findings reports, risk-scored and prioritised from operative data.

Side-by-Side

Choose Your Capability

Heatseeker

Defensive Intelligence
RoleAnomaly Detection
PostureDefensive
Deployment On-premise / Air-gapped
Model weight Lightweight — edge capable
Data privacy Zero egress / Private
Primary use Cybersec · Fraud · Defence
Output Anomaly alerts, risk scores
Training Fine-tuned on your data

Firestarter

Offensive Intelligence
RoleVulnerability Research
Posture Offensive / Red Team
Deployment Isolated secure environment
Model weight Full capability model
Data privacy Classified-ready
Primary use Pentest · RT · Reverse Eng.
Output Exploit chains, IOCs, reports
Training Security-domain corpus

Ready to Evaluate?

Both models are available to qualified security teams and government operators under controlled evaluation programmes.

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