Agentic AI Cybersecurity.Runs On-Device.

World's first standalone Agentic AI cybersecurity for sovereign and data-sensitive organizations. Runs entirely on-device — zero cloud dependency, zero data exfiltration, zero-trust by design — on the NVIDIA Jetson edge AI platform.

The New Threat Landscape

The AI-fication of Cyber Threats Has Begun.

The threat landscape has transformed. Attackers now deploy AI to generate polymorphic malware, craft personalized social engineering at scale, automate vulnerability discovery, and evade detection with unprecedented sophistication. Conventional firewalls — built for signature matching and rule-based defense — were not designed for this adversary.

The Sovereignty Gap

Cloud-dependent security routes sensitive telemetry through foreign data centers, creating regulatory exposure, exfiltration risk, and unacceptable latency for real-time defense.

The Legacy Stack

Signature-based firewalls and human-in-the-loop SOCs cannot match the speed of AI-driven attacks. By the time an alert reaches an analyst, the breach has occurred.

The Skills Shortage

Organizations worldwide face a chronic cybersecurity talent gap, leaving defense operations understaffed and reactive rather than proactive.

The Attack Surface Explosion

IoT, OT convergence, edge computing, and distributed work have created expanding attack surfaces that centralized cloud security cannot protect effectively.

JAG was built for this new reality.

Introducing JAG

Cybersecurity That Thinks at the Edge.

JAG (Jetson-AI-Guard) is a standalone Agentic AI cybersecurity platform built for sovereign and data-sensitive organizations. Every component — threat detection, decision-making, autonomous response, AI validation — runs entirely on-device. No cloud calls. No data exfiltration. No compromise.

Real-Time Threat Detection

Multi-stage inference pipeline analyzes network traffic at line speed. Detects known and unknown attack patterns, zero-day behaviors, and AI-generated threats.

Autonomous Response

AI-driven decision engine automatically blocks, quarantines, or escalates threats with sub-5-second time-to-block — no human bottleneck required.

AI Validation Watchdog

Proprietary validation layer prevents AI hallucinations from triggering false actions. Patent-protected technology ensuring 0% false positive rate in live testing.

Sovereign by Design

Runs entirely on-device with zero cloud dependency. Your data never leaves your network. Compliance-ready for data sovereignty mandates across sectors.

0/10

Attack types blocked in red team

0 sec

Time-to-block on real-world attacks

0%

False positive rate

0/310

Unit tests passing

Validated in controlled red team exercise, April 2026.

How It Works

Five-Stage Tiered Inference Pipeline.

JAG's patented architecture routes every packet through five escalating inference tiers — fast decisions at the edge, deep analysis where it matters.

  1. 01

    Packet Analysis

    Wire-speed inspection of network packets. Immediate blocking of known malicious signatures and protocol violations.

  2. 02

    Guardian Layer

    Rule-based behavioral analysis. Detects reconnaissance, scanning patterns, and policy violations at kernel level with iptables-grade performance.

  3. 03

    CPU LLM Analysis

    Lightweight language model analyzes ambiguous traffic for contextual threats. Sub-second classification of anomalies.

  4. 04

    GPU LLM Deep Inference

    Foundation-Sec-8B cybersecurity-specialized large language model performs deep threat analysis on GPU. Reasoning about novel attack patterns, social engineering, and multi-stage intrusions.

  5. 05

    Autonomous Action

    AI Validation Watchdog gates every decision. Validated actions execute automatically: block, quarantine, alert, or escalate based on severity and confidence.

Technology & Innovation

Edge AI, Purpose-Built for Cybersecurity.

Edge AI Foundation

JAG is purpose-built on the NVIDIA Jetson Orin NX 16GB platform, leveraging GPU-accelerated inference for real-time threat analysis. The complete cybersecurity intelligence stack — including a cybersecurity-specialized large language model — runs natively on-device, consuming under 15W of power.

AI Safety Layer

Every autonomous decision passes through the AI Validation Watchdog — a patent-protected safety layer that prevents AI hallucinations from triggering false positives. Our Prompt Shield technology blocks 71+ known injection patterns, hardening the AI itself against manipulation.

JAG's core technology is protected by a multi-patent portfolio covering Agentic AI cybersecurity, edge inference, and AI safety. International filings in preparation.

Standards-Aligned. Audit-Ready.

NIST CSF 2.0
ISO 27001:2022
SOC 2 Type II
OWASP LLM Top 10
ISA 18.2
IEC 62443
EU AI Act
NIST AI RMF 1.0
GDPR / PDPA

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

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, and distributed operations.

Built by a Serial Founder. Engineered for Scale.

K

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 — and continues to actively lead operations across Singapore and Malaysia.

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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