SOVEREIGN AGENTIC AI

Agentic AI Cybersecurity.Runs Entirely On-Device.

JAG is the world's first standalone Agentic AI cybersecurity platform for sovereign and data-sensitive organizations. Every component — threat detection, decision-making, autonomous response, AI validation — runs entirely on the NVIDIA Jetson edge AI platform. No cloud calls. No data exfiltration. No compromise.

NVIDIA Jetson Orin NXAir-gap Capable6 Patents PendingSub-5-second Time-to-Block

THE NEW THREAT LANDSCAPE

The AI-fication of Cyber Threats Has Begun.

Autonomous AI agents are now writing exploits, conducting reconnaissance, and adapting attacks in real time. Legacy security stacks — designed for human-paced threats — cannot match machine-speed adversaries. The defenders need their own AI.

incidents · 2018-2026

Threat sophistication

2018 — 2026

The Sovereignty Gap

Cloud-dependent security tools ship sensitive data to vendor infrastructure outside your jurisdiction. For sovereign and regulated organizations, this is increasingly untenable.

The Legacy Stack

Signature-based detection and static rules cannot keep up with AI-generated polymorphic attacks and novel multi-stage intrusions.

The Skills Shortage

There are not enough security analysts on Earth to investigate every alert. Autonomous response is no longer optional — it is operationally required.

The Attack Surface Explosion

OT, IoT, SCADA, and edge devices have multiplied the entry points. Centralized cloud-based defense cannot reach the edge fast enough.

JAG was built for this new reality.

INTRODUCING JAG

Cybersecurity That Thinks at the Edge.

Real-Time Threat Detection

Wire-speed packet inspection paired with on-device AI classifiers. Threats are identified and scored in sub-second time, every time.

Autonomous Response

Block, quarantine, alert, or escalate — JAG decides and acts without waiting for a human. The human reviews; the system does not stall.

AI Validation Watchdog

A second AI keeps the first one honest. Hallucinations, prompt injections, and adversarial inputs are caught before any enforcement action fires.

Sovereign by Design

Every decision happens on the NVIDIA Jetson Orin NX. No cloud round-trips, no data exfiltration, no third-party visibility into your traffic.

ARCHITECTURE

One Sovereign Device. Five Defense Layers.

JAG sits inline between the untrusted internet and your protected network. Five patented defense layers — Enforce, Understand, Prove, Guard the AI, Adapt — work together inside a single NVIDIA Jetson Orin NX. Every packet inspected, classified, blocked at the edge or escalated to deeper inference.

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JAG Agentic AI Cybersecurity Gateway architecture: untrusted internet on the left connects via wired or wireless to the central JAG-powered NVIDIA Jetson Orin NX module — running Edge AI Processing, Adaptive Threat Management, and Intelligent Gateway layers — which then secures workstations, IoT systems, IP surveillance, and industrial control/SCADA/PLC devices on the internal network.

All inference, validation, and enforcement happens on the device. Zero cloud round-trips. Zero data exfiltration.

five-layers.spec

Defense stack

One sovereign device

Five patented inventions · One integrated ecosystem · Single sovereign device

A Defensible Moat by Design

Protected under a portfolio of 6 patents · 113 claims. The integrated architecture cannot be replicated without infringing.

GUARDIAN DASHBOARD

Defense, in Real Time.

The operator's view into the JAG defense stack. Every threat detected. Every decision logged. Every AI output validated. Every action sealed.

jag-guardian.app
JAG Guardian dashboard: HEALTHY status header, 5-stage threat-decision pipeline (Packet → Guardian → CPU LLM → GPU LLM → Action), AI Analyst sidebar with plain-English explanations, system health telemetry (GPU/CPU temperature, memory, storage), and 24-hour activity counters.

PIPELINE

5-stage decision flow at line rate

AI ANALYST

Plain-English explanations alongside every decision

SYSTEM HEALTH

Live on-device telemetry — temp, memory, throughput

EVIDENCE

Every action sealed to a tamper-evident ledger

STANDARDS-ALIGNED. AUDIT-READY.

Mapped to the Frameworks Your Auditors Already Use.

Every JAG decision, log, and enforcement action is designed to satisfy global cybersecurity, AI governance, and data protection standards.

  • NIST CSF 2.0
  • ISO 27001:2022
  • SOC 2 Type II
  • OWASP Top 10 + LLM Top 10
  • CWE / CAPEC
  • GDPR Art. 44-49
  • PDPA
  • EU AI Act
  • ISA 18.2
  • IEC 62443
  • NIST AI RMF 1.0

JAG is designed to align with leading global cybersecurity, AI governance, and data protection standards. Formal certifications in roadmap.

WHO WE SERVE

Built for Sovereign and Data-Sensitive Organizations.

Banking & Financial Services

Real-time fraud detection and insider threat defense without cloud data exposure.

Telecommunications

Protect core network infrastructure and subscriber data at edge speed.

Critical Infrastructure

Energy grids, water utilities, transportation systems — where downtime is not an option.

Government & Sovereign Agencies

National security-grade AI defense that never sends data offshore.

Healthcare & Research

Protect patient data and research IP with compliance-ready sovereign architecture.

Enterprise & Industrial IoT

Secure the expanding edge — OT networks, IoT fleets, distributed operations.

Built by a Serial Founder. Engineered for Scale.

founder.credential
Portrait of Kelvin Lee, founder of JAG Cybersecurity

Kelvin Lee

Founder & Chief Architect

Kelvin is the founder and chief architect of JAG Cybersecurity. Over the past two decades, he has successfully co-founded and scaled three technology companies — two of which were acquired by investors.

With deep expertise spanning edge computing, AI systems architecture, and cybersecurity engineering, Kelvin personally designed and implemented JAG's full stack: from kernel-level network inspection through GPU-accelerated AI inference and autonomous response orchestration.

JAG represents over 12 months of dedicated engineering work, resulting in a production-validated platform tested in controlled red-team exercises.

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CONTACT

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