Weak process tracking
Confidential business relies on paper-based approvals or traditional OA, with weak process tracking and low execution efficiency, making it difficult to form an auditable closed loop.
National defense and military industry
Reconstructing the digital foundation of confidential operations with AI
For high-security scenarios such as defense and military industry groups, research institutes, and supporting manufacturing units, Deneb offers an integrated solution covering confidential business, process collaboration, data governance, intelligent early warning, and security compliance, helping organizations embed confidentiality requirements into daily business processes and building a digital capability system that is traceable, alertable, and sustainably evolves.
Industry pain points
The defense and military industry generally faces high confidentiality, high compliance, high collaboration, and high controllability requirements. With the deepening of Xinchuang substitution, the continuous strengthening of group management, and the increasing refinement of confidentiality systems, traditional management methods relying on paper-based approvals, distributed ledgers, and isolated systems can no longer support modern military industry units' requirements for comprehensive, refined, and systematic management of confidentiality work.
Ledgers are scattered
Personnel, carriers, equipment, projects, and activity data are scattered, making it difficult to form a unified ledger and end-to-end management.
Delayed detection of anomalies
Key links such as confidential carrier external transport and equipment media circulation lack real-time monitoring, making it difficult to detect abnormal behaviors in a timely manner.
Regulations are difficult to embed
Confidentiality policies are disconnected from business systems, making it difficult for confidentiality requirements to truly be embedded in daily business processes.
Group supervision is complex
Headquarters and member units, networked and offline units coexist, making unified reporting, supervision, and analysis difficult.
Compliance requirements overlap
Requirements such as sub-protection, classified protection, confidential review, Xinchuang adaptation, identity authentication, data encryption, and log auditing all combine, making the platform implementation barrier high.
Key points for plan construction
Empowering AI to understand business, call systems, and drive action
Confidentiality management throughout the entire process
Classified personnel, classified carriers, confidential projects, confidential activities, self-inspection and self-evaluation, and confidentiality checks are incorporated into a unified platform.
Unified ledger and closed loop
Establish a trackable, summarized, and analyzable business ledger around personnel, carriers, equipment, projects, activities, and rectification items.
Real-time monitoring and early warning
Connects RFID, channel gates, cameras, approval records, and ledger status to identify abnormal outbounds, unauthorized carrying, and abnormal trajectory patterns.
Multi-level reporting for supervision
Balancing headquarters, member units, networked and offline environments, achieving unified task assignment, data reporting, summary verification, and situation analysis.
Secure and compliant foundation
Covers identity authentication, access control, log auditing, data anonymization, data encryption, key management, hierarchical authorization, and Xinchuang adaptation.
The role of the platform: turning AI into an enterprise that can be operated, audited, and reused
Use unified Ontology, system connectivity, multi-agent capabilities, and low-code capabilities, AI can enter defense industry operations from Q&A entry points.
Touchpoint: Enterprise AI digital workbench
For confidentiality offices, research institutes, member units, supporting manufacturing units, headquarters supervision and security management teams, it offers AI dashboards, AI data inquiry, digital employee collaboration, as well as integration with PC, mobile, and IM.
Application layer: AI-native business systems
Centered on high-value scenarios in defense and military industries, processes and data, knowledge, and collaboration are accumulated into configurable and reusable business applications.
Ontology Engine: Enterprise business semantic layer
Through objects, attributes, relationships, actions, functions, process rules, security, governance, and publishing, AI understands the true semantics of industry business.
AI intelligence and construction
Supports agent decision-making meetings, digital employee management, identity and memory, tool integration, permission governance, model usage, and low-code generation.
Knowledge and system integration
Connects with RAG's unstructured knowledge base, as well as existing systems such as OA, unified identity, device ledger, RFID, access control channels, cameras, third-party systems, and Xinchuang environments, creating a closed loop of business data, institutional knowledge, and process actions.
Cloud Market: Reusing enterprise AI assets
Accumulate Ontology industry template libraries, Skill marketplaces, workflow templates, knowledge packs, API action libraries, Agent templates, application templates, and governance strategy libraries.
Key capabilities for solution implementation
From business understanding to closed-loop action
Enterprise Ontology Construction
Unify personnel, carriers, equipment, projects, activities, inspections, rectifications, risks, units, and permissions into a network of business objects understandable by AI.
Processes and ledgers
By unifying portals, forms, processes, rules, ledgers, Kanban, and multi-platform collaboration, it supports rapid business implementation and continuous iteration.
Equipment system integration
Connects OA, unified identity, device ledger, RFID, access control channels, cameras, and third-party systems and devices.
AI and risk models
Provides knowledge Q&A, intelligent reporting, risk modeling, anomaly identification, report generation, and Kanban analysis capabilities.
Security governance
Covers identity authentication, access control, log auditing, data anonymization, data encryption, key management, and hierarchical authorization.
Innovative foundation
Supports Xinchuang adaptation, microservice architecture, containerized deployment, multi-environment release, and private implementation.
Solution implementation path
A unified method facilitates investment evaluation, asset accumulation, and reuse across more industry scenarios.
01
Sorting out confidentiality chains
Sort out key objects, rules, and collaborative processes around confidential personnel, confidential carriers, self-inspection and inspection, data reporting, and abnormal early warning.
02
Build the confidentiality Ontology
Break down personnel, carriers, equipment, projects, activities, inspections, rectifications, risks, and permissions into objects, attributes, relationships, and actions.
03
Connect the device system
Access to OA, unified identity, device ledger, RFID, access control channels, cameras, and third-party systems.
04
Configure the process ledger
Establish processes for review, training, borrowing, delivery, inspection, rectification, reporting, alarm, and incident handling.
05
Combined with AI capabilities
Introduce confidentiality system Q&A, intelligent reporting, risk identification, anomaly warning, report generation, and analysis dashboards.
06
Security governance and operations
Long-term control is ensured through access control, hierarchical authorization, encrypted immunosensitization, log auditing, Xinchuang deployment, and continuous operation.
High-value business scenarios in the defense and military industry
Focusing on the core business chain of the current industry, we organize analysis, judgment, and execution into a reusable closed loop.
Control of confidential personnel
Management of classified carriers
Self-inspection and closed-loop inspection
Multi-level data reporting
Classified carrier anomaly warning
Control of confidential personnel
Confidential personnel rely on paper circulation and multiple registrations for pre-job, on-the-job, transfer, and departure of confidential personnel, which easily leads to missed or delayed management, and scattered archives.
Construction methods
Based on a unified organizational structure, process engine, personnel ledger, and Kanban capabilities, a multi-role, multi-departmental collaborative personnel confidentiality management system is built, synchronized with a unified identity system.
Application process
Pre-job review -> Confidentiality level verification -> Training and examination -> On-the-job review -> Major matters filing -> Overseas departure review -> Archive of departure and resignation
Solution Effectiveness
- Achieve process-based management of confidential personnel and automatic ledger updates
- Profile profiles of confidential personnel and departmental confidentiality status views are formed
- Reduces the risks of missed pipes, delayed pipes, and file dispersion
Management of classified carriers
Paper carriers, electronic carriers, and storage media are prone to discrepancies and unclear destinations during registration, borrowing, takeout, return, archiving, and destruction.
Construction methods
Centered on electronic ledgers, it integrates process approval, status synchronization, and exception alert capabilities; When conditions permit, access to RFID, access gates, and cameras enables physical linkage management.
Application process
Carrier registration -> Approval and entry -> Borrowing or takeout application -> Usage circulation -> Return or transfer -> Archiving or destruction -> Closed-loop ledger verification
Solution Effectiveness
- Establish full lifecycle trajectories for classified carriers
- Enhance consistency between accounts and goods, as well as full-process traceability
- Provides a data foundation for abnormal takeout and violation entry and exit identification
Self-inspection and closed-loop inspection
The self-inspection and inspection processes of headquarters, member units, departments, and individuals are scattered, making it difficult to form a unified closed loop for problem rectification, review confirmation, and archiving of results.
Construction methods
Based on the template center, task center, process engine, and statistical analysis capabilities, it builds a self-inspection indicator database, inspection template database, and a closed-loop rectification mechanism, supporting intelligent push by organizational level.
Application process
Define inspection templates -> Issue self-inspection tasks -> Online reporting -> Summary analysis -> Supervise rectification -> Review and confirm -> Report archiving
Solution Effectiveness
- Enhance the authenticity of inspection results and the efficiency of rectification tracking
- Turning self-inspection and self-evaluation from phased actions into regular mechanisms
- This provides a basis for headquarters to identify key issues and rectification progress
Multi-level data reporting
Headquarters and member units coexist, network environments are not fully interconnected, online reporting and offline packet submission need to be compatible, and manual summarization costs are high.
Construction methods
With the headquarters management center as the aggregation hub, it supports unified task assignment, online reporting, offline export and import, hierarchical aggregation, and Kanban analysis, meeting management requirements under complex network boundaries.
Application process
Headquarters issues tasks -> Subordinate units submit online or offline reports -> Headquarters imports and summarizes -> Data verification -> Situation analysis -> Risk supervision
Solution Effectiveness
- Solves the problem of data aggregation when both networked and non-networked units coexist
- Enhance headquarters' ability to visualize and grasp the overall confidentiality situation
- Reduces the cost of manual statistics and hierarchical report organization
Classified carrier anomaly warning
Key warehouses and high-value confidential carriers rely on manual inventory, making it difficult to detect abnormal outbounds, illegal carrying, and abnormal trajectory movements in a timely manner.
Construction methods
On the platform side, a platform management service, approval rules, and alarm strategy center is built; on the device side, RFID detection antennas, access doors, and cameras are integrated, forming an integrated linkage between business approval and physical detection.
Application process
Carrier labeling -> Approval for outbound -> Channel identification -> Automatic comparison of approval status -> Normal release or triggered alarm -> Capture and evidence retention -> Incident handling and archiving
Solution Effectiveness
- Manual inventory has been upgraded to process monitoring and proactive early warning
- Enhance the ability to detect incidents such as unauthorized shipments and illegal carrying
- Providing a complete chain of evidence for audit accountability and risk review
Business value
From local efficiency improvements to measurable intelligent operations
Confidential value
Confidentiality management has been upgraded from dispersed, passive, and post-event accountability to full-process management that can be warned, tracked, and traced.
Regulatory value
Support unified supervision by headquarters and hierarchical responsibility of member units to enhance group governance capabilities.
Efficiency value
By handling online processes, automatically updating ledgers, and intelligent pushing, it reduces the costs of manual turnover and repeated entry.
AI value
Through AI Q&A, intelligent recommendations, intelligent reporting, and risk identification, it reduces the burden on confidentiality management personnel.
Compliance value
Under security, compliance, and Xinchuang requirements, we build a sustainable and evolving business digital foundation for the defense industry.
Personnel can be fully controlled
Review, training, re-examination, filing, departure, and off-the-job archiving form a unified chain.
The carrier can be traced throughout the entire process
Registration, borrowing, takeout, return, destruction, and anomaly alerts form a closed-loop evidence chain.
Headquarters can centralize supervision
Data reporting, aggregation verification, and situation analysis for networked and offline units are incorporated into the unified center.
Risk can be proactively warned of
RFID, channels, cameras, and approval status are linked to enhance anomaly detection capabilities.
Building a closed loop for AI-native operations in the defense and military industry
Starting from a high-value scenario, accumulate replicable enterprise AI assets and gradually expand to more business units and operational scenarios.