LargitData — Enterprise Intelligence & Risk AI Platform

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Defense and Critical Infrastructure Intelligence Solutions

Defense, defense-industry, and critical infrastructure units face the multiple challenges of geopolitical risk, supply chain security, and cyber security threats, and have extremely high requirements for data sovereignty. LargitData combines InfoMiner threat intelligence monitoring, supply chain security review, and the RAGi on-premise AI engine to provide an intelligence solution that can be fully deployed on-premise, with data never leaving the organization.

Industry Challenges

The risk environment in which defense and critical infrastructure units operate is far more complex than that of general enterprises:

  • Rising geopolitical risk：Changes in cross-strait relations, international trade policy, and export controls can disrupt the supply chain and operations within a short time, requiring continuous intelligence monitoring.
  • Supply chain security threats：The supply chains of the defense industry and critical infrastructure involve national security; if any link involves a sanctioned entity or a high-country-risk supplier, it can cause serious consequences.
  • Cyber security and threat intelligence needs：Facing cyber threats, data breaches, and APT attacks, units need forward-looking threat early warning and dark web monitoring capabilities.
  • Data sovereignty and confidentiality control：Sensitive data must not leave the country or be processed via external clouds, imposing strict compliance requirements on the deployment method.
  • Cyber security compliance pressure：Compliance with the cyber security regulations of government and critical infrastructure is required, along with complete audit trails and verifiability.

Industry Solutions

LargitData provides defense and critical infrastructure units with a solution that integrates threat intelligence, supply chain security, and on-premise AI:

InfoMiner — Threat Intelligence and Risk Monitoring

  • Multi-source real-time monitoring of news, social media, forums, and public data to grasp geopolitical and cyber security risk signals.
  • Screening against public sanctions lists such as OFAC, EU, and UN to identify sanctioned entities and related parties.
  • Monitoring public dark web intelligence and signs of data breaches to detect targeting risks early.
  • AI sentiment analysis and anomaly-in-volume detection to issue real-time alerts before risks spread.

Learn MoreInfoMiner Social Listening

RAGi On-Premise — On-Premise AI Knowledge and Assessment Engine

  • Integrating intelligence data with the internal knowledge base into an on-premise AI engine to automatically generate assessment reports.
  • All data processing and model inference are performed entirely within the unit's internal network, with data never leaving the organization.
  • Supporting natural-language queries to help analysts quickly retrieve intelligence and historical cases.
  • Can be paired with the QubicX on-premise AI hardware platform (NVIDIA DGX Spark, Mac Studio) to provide a complete on-premise deployment carrier.

Learn MoreRAGi Enterprise AI Retrieval-Augmented Generation Engine; QubicX On-Premise AI Platform

Key Capabilities

  • Threat intelligence monitoring: continuous monitoring covering geopolitics, cyber security threats, and dark web intelligence.
  • Automated sanctions screening: cross-checking against public sanctions and watchlists such as OFAC, EU, and UN.
  • Supply chain security review: assessment of supplier country risk, beneficial owners, and performance records.
  • Government procurement intelligence: verifying the track records of suppliers and counterparties using public procurement data.
  • Entity relationship graphs: linking people, companies, and events to reveal hidden risk networks.
  • Real-time alerts and graded notification: automatically pushing alerts to the responsible personnel by risk level.
  • On-premise AI assessment and report generation: intelligence analysis and assessment with data never leaving the organization.
  • Audit trails and source traceability: ensuring that intelligence outputs are verifiable and traceable.

Deployment: On-Premise First, Ensuring Data Sovereignty

Defense and critical infrastructure clients have the highest requirements for data sovereignty. LargitData offers an on-premise-first deployment approach: RAGi On-Premise deploys the AI engine entirely within the unit's internal network, paired with the QubicX on-premise AI hardware platform (supporting NVIDIA DGX Spark, Mac Studio, and others), so that all data processing and model inference are completed within the internal network, with sensitive data never leaving the organization or passing through external clouds. This architecture solves the core pain point that data cannot leave the country while retaining full AI analysis and intelligence assessment capabilities.

Data Governance and Cyber Security Compliance

The external intelligence collected by this solution all comes from public, legally accessible sources, such as public sanctions lists, government procurement public data, news, and public online information. The system implements access control, encrypted storage, audit trails, and data retention policies to ensure compliance with the cyber security regulations of government and critical infrastructure, as well as the Personal Data Protection Act, GDPR, and other regulations. All intelligence outputs are traceable to their sources, ensuring that assessment results can withstand scrutiny.

Use Cases

Case 1: Continuous Supply Chain Security Review

A unit establishes a continuous monitoring mechanism for key suppliers. The system automatically screens sanctions lists, monitors supplier-related adverse media and country risk, and issues real-time alerts when sanctions lists are updated or significant events occur, enabling procurement and security departments to assess alternatives early.

Case 2: Geopolitical and Threat Intelligence Early Warning

Intelligence analysts use InfoMiner to monitor international policy, export controls, and cyber security threat developments, and use the RAGi on-premise engine to combine intelligence with the internal knowledge base, quickly generating assessment reports that help senior decision-makers grasp the situation and position themselves in advance.

Case 3: On-Premise Classified Intelligence Analysis

For high-classification intelligence work, the unit adopts RAGi On-Premise paired with QubicX on-premise hardware, keeping all analysis work within the internal network. Analysts can query historical intelligence and cases in natural language, with all data staying entirely within the organization, meeting the strictest data sovereignty requirements.

FAQ

Yes. Through RAGi On-Premise paired with the QubicX on-premise AI hardware platform (supporting NVIDIA DGX Spark, Mac Studio, and others), all data processing and model inference are completed within the unit's internal network, with sensitive data never leaving the organization or passing through external clouds, meeting the strictest data sovereignty requirements.
InfoMiner covers multi-source real-time monitoring of news, social media, forums, and public data, and can screen against public sanctions lists such as OFAC, EU, and UN, monitor public dark web intelligence, and track geopolitical and cyber security threat developments, all based on public, legally accessible sources.
The system conducts onboarding review and risk grading of suppliers, screens sanctions lists, assesses country risk and beneficial owners, and verifies performance track records using government procurement public data, then maintains continuous monitoring of key suppliers, with real-time alerts when sanctions are updated or significant events occur.
QubicX is an on-premise AI hardware solution that can serve as the deployment carrier for RAGi On-Premise, supporting hardware such as NVIDIA DGX Spark and Mac Studio, enabling units to run large language models and intelligence assessment within the internal network without relying on external clouds.
The system implements access control, encrypted storage, audit trails, and data retention policies, and collects only public, legally accessible external intelligence, ensuring compliance with the cyber security regulations of government and critical infrastructure, as well as the Personal Data Protection Act, GDPR, and other regulations; all intelligence outputs are traceable to their sources.
Defense and defense-industry units, critical infrastructure operators (such as energy, telecommunications, transportation, and financial infrastructure), and government agencies with high requirements for data sovereignty are all suitable for adoption. Such units typically require on-premise deployment and strict cyber security compliance.
InfoMiner is responsible for real-time monitoring and risk early warning of external intelligence, while RAGi serves as the on-premise AI assessment engine, integrating intelligence with the internal knowledge base to automatically generate assessment reports and support natural-language queries; together they form a complete intelligence workflow from monitoring to assessment.
The implementation timeline depends on the scale of on-premise hardware and the scope of data integration. The LargitData professional team assists throughout with environment setup, data import, model deployment, and training, and plans the deployment architecture according to the unit's cyber security requirements.

Want to learn about defense and critical infrastructure intelligence solutions?

Contact the LargitData expert team to plan a threat intelligence and supply chain security solution that can be fully deployed on-premise, with data never leaving the organization.

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