ISSUE
Defense Supply Chain Resilience
As global collaboration and digital development environments expand, the risks of infiltration through the supply chain and the leak of core technology are spreading across the entire defense ecosystem.
DEFENSE
Future-ready Defense Ecosystem
Next-generation defense ecosystem and digital transformation strategy
Software-Defined Defense
Starts with Intelligence
A next-generation defense ecosystem connected through AI and data intelligence
From the supply chain to systems development, operation, and cybersecurity, we provide integrated intelligence protecting strategic assets and accelerating defense innovation.
Market Dynamics & Trends
Defense Transformation Landscape
Technological change in the defense industry
Cyber Security
ISSUE
AI-driven Information Warfare
As generative AI and deepfake technology converge, social engineering attacks targeting the research personnel and technology assets of key defense firms are becoming more sophisticated.
CASE
Strategic Backbone Network Interception
A supply chain risk incident in which long-term exfiltration of government and defense communications data occurred via backbone network infiltration, exposing national defense strategies and critical defense export intelligence in real time.
CASE
Insider Trade Secret Theft
Cyber weapon and technology leaks at U.S. defense contractor "L"
This is a case where core technology and cyber weapons were leaked externally through the abuse of insider personnel and account privileges, suggesting that the risk of source code and cyber asset leaks via insider accounts can materialize.
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Strategic Data Intelligence
ISSUE
Strategic Supply Network Complexity
As global supply chain diversification and competition to secure critical materials intensify, visibility across partner networks and supply chain resilience are emerging as key sources of competitive advantage.
Reported a lack of supply chain visibility at the raw material stage
56%
National Defense Magazine <Vital Signs 2026 Survey> (2026)
Increase in the loss of single-source or sole overseas suppliers
11%
CASE
Kinetic Feedback Latency
Modern weapons systems have evolved into platforms that collect vast amounts of battlefield data, yet they face a bottleneck in using actual tactical data (edge data) in real time within design and logistics systems.
Installed nodes requiring upgrades for AI adoption
700,000+
McKinsey <Future Defense Tech: Multidomain Stacks to Build Affordable Mass> (2026)
CASE
AI-Ready Defense Modernization
Investment in infrastructure modernization and the shift to software is expanding to realize digital engineering, AI, and network-centric warfare.
Estimated cost to close the computing gap in the U.S. military's existing installed nodes
$160B–$230B
McKinsey, <Future Defense Tech: Multidomain Stacks to Build Affordable Mass> (2026)
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Defined Friction Points
Expanding Data & Security Risks
Across Defense Operations
Data and security risks expanding across defense operations
Cyber Security
01
Upstream Supply Chain Intrusion Risks
- -An increase in bypassing intrusion paths as the attack surface expands through vulnerable lower-tier partners
- -The widening scope of protection for CAD, source code, and simulation data, and a rise in long-term dormant attacks based on APT-driven account takeover
02
Engineering Identity Threat
- -Increasing precision in phishing and account takeover targeting researchers and design engineers
- -Difficulty in the initial response to attacks on development environments and supply chains based on malware and backdoors
Strategic Data Intelligence
01
Strategic Supply Chain Dependency
- -Tracking constraints arising from the scattering of design and procurement data across system integrators, partners, and overseas partners
- -Delays in synchronizing design changes and risks related to critical resource dependency and visibility
02
Field-to-MRO Data Disconnection
- -Risks arising from delays in reflecting sensor, maintenance, and operational data into design and development teams
- -The scattering of design, production, and MRO system data prolongs the systematic improvement cycle of combat experience and platform enhancements
03
Autonomous Warfare System Integration Bottlenecks
- -Verification procedures for AI models and next-generation technologies limit the speed of field deployment
- -Difficulty in linking manned-unmanned teaming and strategic platform data, and a lack of feedback and integration between digital and real-world environments
Industry Approaches
Sovereign Defense
Tactical Systems
Protecting the sovereign defense industrial base, strengthening weapons system reliability
Defense Threat Intelligence
Strategic Asset Threat Visibility
- - Integrating and analyzing state-backed threats (APT, dark web, and leaked information) with partner and internet-exposed assets to proactively identify supply chain-based intrusions
- - Providing response priorities based on impact to weapons systems, programs, and core technologies to strengthen the protection of strategic assets
Counter-APT Operations
Intelligence-Driven Active Defense
- - Detecting and hunting spear phishing, credential theft, and APT, and zero-day attacks targeting defense research personnel through AI
- - Continuously protecting national strategic assets and core technologies through a 24×7 MDR-based detection, analysis, and response framework
Defense Ontology Platform
Engineering Knowledge Intelligence
- - Connecting design, procurement, production, and MRO data through ontology and knowledge graphs to analyze program-level visibility and change impact
- - Supporting parts, supply chain, configuration management, and program decisions on a semantic layer basis
Agentic AI for Field-to-Factory Operations
Defense Operational AI Orchestration
- - AI agents structure maintenance, parts replacement, and follow-up actions to support maintenance management
- - Field-to-Factory Feedback links operational data with R&D and production
Defense Supply Network Analytics
Supply Network Dependency Intelligence
- - Analyzing raw material, component, and partner relationships on a graph basis to identify bottlenecks and supply chain dependencies
- - Continuously analyzing single-source, geopolitical, and partner risks to strengthen supply chain resilience
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