Fully Local AI Air-Gapped by Design Zero Cloud Dependency Multi-Agent Platforms PCAP Deep Inspection MITRE ATT&CK Mapping Security Config Review On-Premises LLMs AI Development Consulting Zero Data Egress Fully Local AI Air-Gapped by Design Zero Cloud Dependency Multi-Agent Platforms PCAP Deep Inspection MITRE ATT&CK Mapping Security Config Review On-Premises LLMs AI Development Consulting Zero Data Egress
AI Security Research & Development

Intelligent security.
Completely local.

AFOMA LABS builds fully local, air-gapped AI security platforms. We analyse network traffic and system configurations using on-premises large language models — with zero cloud dependency and zero data exposure.

Local All inference on-premises
Sovereign Your data never leaves
Agentic Multi-agent orchestration
Built Proprietary, from scratch
Our Platform

A proprietary AI security platform, built from the ground up.

We have built a multi-agent agentic security analysis platform that operates entirely on local hardware. No telemetry. No compromise.

📡
Network Intelligence
PCAP Deep Inspection
Our platform ingests raw network capture files and runs them through a multi-layer analysis pipeline — extracting structured metadata across connection, DNS, HTTP, SSL, and certificate layers before LLM analysis produces a structured threat report.
⚙️
Audit
Security Configuration Review
Firewall configs, service YAML, and any text-based configuration file are audited by an on-premises LLM for misconfigurations, weak settings, known CVE exposure, and compliance deviations — producing a risk-scored report with prioritised remediation guidance.
🔍
Correlation
Cross-Finding Correlation
A dedicated correlation agent aggregates findings across network and configuration analyses, identifies patterns and relationships, and produces a unified picture of the threat landscape — without any data leaving your environment.
🗺️
Intelligence
MITRE ATT&CK Mapping
Observed behaviours and detected artefacts are automatically mapped to the MITRE ATT&CK framework. Every finding is tagged to tactics, techniques, and sub-techniques — giving analysts and clients a shared, standardised language for the threat.
🧠
Models
Multiple Parameter Models
Our platform is model-agnostic and has been tested across a range of large language models at varying parameter scales. We select and tune the model that best balances capability, throughput, and hardware requirements for each deployment context.
🤖
Architecture
Multi-Agent Orchestration
Each capability is implemented as an independent, specialised agent — each with a single responsibility and a persistent connection to the shared data layer. Agents run in parallel, are independently scalable, and are orchestrated via LangChain and LangGraph.
What We Do

How we can help your organisation.

Whether you need a bespoke AI security platform, guidance on building your own, or hands-on development support — we work with you from concept to deployment.

01 — Platform
🏗️
Bespoke Platform Builds
We design and build fully local, air-gapped AI platforms tailored to your organisation's data, infrastructure, and threat model. Every component is purpose-built — no off-the-shelf SaaS, no vendor dependencies.
  • Custom multi-agent pipeline architecture
  • On-premises LLM selection and deployment
  • Integration with existing security tooling
  • Full documentation and knowledge transfer
02 — Development
💻
AI Development Assistance
Embedded development support for teams building AI-powered applications. We help architect agentic systems, implement LLM pipelines, and solve the hard infrastructure problems that come with running models at scale — locally.
  • LangChain & LangGraph agent development
  • Retrieval-augmented generation (RAG) systems
  • GPU infrastructure and CUDA optimisation
  • Code review and architecture advisory
03 — Consulting
🧭
AI Strategy & Consulting
Strategic guidance for organisations evaluating how to responsibly adopt AI — particularly in regulated, high-sensitivity, or air-gapped environments where cloud AI is not an option.
  • AI readiness and infrastructure assessment
  • Model evaluation and selection frameworks
  • Data sovereignty and compliance advisory
  • Threat modelling for AI-enabled systems
Our Approach

We build things that last.

Every engagement follows the same principle: understand the problem deeply, build for longevity, and leave your team with full ownership of what we create together.

01
Understand
We start by understanding your data, your threat model, your infrastructure constraints, and your team's capabilities. No assumptions, no generic solutions.
02
Build
We design and build from first principles using the right stack for the problem — on-premises, open-source, and reproducible. Everything we build is yours to own and operate.
03
Transfer
Full documentation, knowledge transfer, and ongoing support. When we're done, your team understands exactly what was built and why — and can operate it independently.
Data Sovereignty

Your intelligence stays yours.

AFOMA LABS was built on a single principle: security analysis should never require trusting a third party with your most sensitive data.

  • 🔌
    No Internet Required
    Our platforms operate entirely offline after deployment. All inference, analysis, and storage happens on your hardware. No external connectivity is ever required for core functionality.
  • 🧠
    On-Premises Model Inference
    Every LLM query is processed locally. Your data, logs, and findings never touch a cloud API endpoint, a third-party inference service, or an external model provider.
  • 🛡️
    Client-Level Isolation
    Every finding, report, and analysis is scoped and isolated. Multi-tenant deployments ensure there is no cross-contamination of data between clients or engagements.
  • 📦
    Self-Contained by Design
    No vendor accounts. No managed services. Platforms we build are self-contained, reproducible, and designed for long-term independent operation on your own infrastructure.
// Deployment Boundary
Your Infrastructure
┌── AFOMA Platform ───────────────────┐
│ Ingest & Orchestration Layer │
│ Multi-Agent Analysis Pipeline │
│ On-Premises LLM Inference │
│ Network & Config Tooling │
│ ────────────────────────────── │
│ Local Database & Storage │
│ Findings, Reports, Intelligence │
└─────────────────────────────────────┘
✕ NO OUTBOUND DATA PERMITTED
All processing local
All models on-premises
All data stays on your hardware
No third-party inference APIs
No telemetry, no vendor accounts
Get In Touch

Let's build something
sovereign.

Whether you need a platform built, a team upskilled, or a strategy for deploying AI without compromising your data — we'd like to hear from you.