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Manufacturing

Connected Manufacturing Intelligence

Unified Intelligence for Manufacturing Excellence

Powering Smarter
& More Resilient Manufacturing

Achieve smarter, more resilient manufacturing operations

By understanding production processes and equipment, supply chains, and OT environments in an integrated way, we provide a manufacturing operations foundation that manages operational efficiency and security risks together.

Market Dynamics & Trends

Next-generation Manufacturing

The shift toward next-generation manufacturing

Cyber Security
ISSUE

Ransomware Threats Targeting Manufacturing Infrastructure

As smart factories and OT environments expand, the attack surface of manufacturing infrastructure—including PLCs, HMIs, SCADA, and remote maintenance—is rapidly increasing. Ransomware targeting production systems is establishing itself as a key threat that translates directly into production disruption and operational setbacks.

Manufacturing's share of ransomware victims in the second half of 2025

15.4%

S2W TALON, <Ransomware Landscape in H2 2025: Statistics and Key Issues>

Average ransomware recovery cost for manufacturers

$1.3M

Sophos <The State of Ransomware in Manufacturing and Production 2025>

ISSUE

Supply Chain Cyber Exposure

As connectivity across the manufacturing ecosystem expands, the entire supply chain—including partners, MES and ERP, and remote services—is being used as new attack paths. A breach of even a single partner can lead to production disruption and the leak of core technology, making supply chain security and third-party risk management increasingly important.

Share of trade secret leaks caused by external cyberattacks

36.6%

IPA, Survey on the Management of Trade Secrets in Companies 2024

CASE

IT Infrastructure Compromise & Production Disruption

IT Infrastructure Compromise & Production Disruption

This is a case where a breach of IT infrastructure led to a shutdown of production systems, showing that in manufacturing environments, an IT system failure can translate directly into production disruption and a crisis of operational continuity.

CASE

Supply Chain Breach & Factory Shutdown

A partner breach at global automobile manufacturer T

A partner breach halts operations at 14 factories

A partner breach halts operations at 14 factories As a case where a breach of a partner's system spread into a full shutdown of the automaker's production lines, it shows the importance of supply chain connectivity and third-party risk management.

CASE

Intellectual Property Exfiltration

A confidential information leak at global electronics manufacturer F

A North American production site hacked, roughly 8TB of confidential data leaked

As a case where blueprints and core technology information were leaked on a large scale, it shows that intellectual property (IP) protection and access management are core elements of corporate competitiveness in manufacturing.

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Strategic Data Intelligence
ISSUE

Intelligence-powered Factory Operations

Most manufacturers remain in a data silo environment where ERP, MES, OT, and supply chain data are scattered. AI-driven manufacturing competitiveness is shifting away from AI itself toward securing an integrated data foundation that connects and leverages data.

Manufacturers with only partial data integration

55%

Valtech, <The Voice of Digital Leaders in Manufacturing 2025 report>

Manufacturers selecting data analytics as an investment priority

40%

Deloitte, <2025 Smart Manufacturing Survey>

ISSUE

Redefining Automation through AI Operational Decisions

Manufacturing AI is spreading across production, quality, and equipment operation, establishing itself as a core technology that supports operational optimization and execution, beyond analysis.

Manufacturers planning to expand their AI budgets

82%

Rootstock Software, <Annual State of AI in Manufacturing Survey> 2024

CASE

End-to-End AI Integration in Pharma

AI-driven operational innovation at global biohealthcare company J

As a case of shifting to a data-centric manufacturing framework—using AI to optimize production planning, quality control, and equipment operation in real time—AI is establishing itself as a core system that reconfigures manufacturing as a whole, beyond a simple productivity tool.

Reduction in AI-driven new drug candidate discovery time

50%

Reuters, 2026

Reduction in AI-driven clinical report writing time

700Hrs → 15 Min.

The Economic Times, 2026

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Defined Friction Points

Manufacturing
Under Constant Pressure

A manufacturing environment pressured to deliver both production competitiveness and operational stability

Cyber Security
01

Expanding Smart Factory Attack Surfaces

  • -The expansion of OT equipment, remote access, and supply chain integration increases new intrusion paths
  • -Breach incidents spread into manufacturing operational risks such as production disruption and quality degradation
02

Security Operations Across Complex Manufacturing Environments

  • -Operational complexity: the assets to manage and security events keep increasing across IT, OT, cloud, and supply chains
  • -Response prioritization: scattered assets and limited staff slow down threat assessment and response
Strategic Data Intelligence
01

Fragmented Manufacturing Visibility

  • -ERP, MES, PLM, SCADA, and supply chain data are scattered, making it difficult to grasp production, quality, and inventory in an integrated way
  • -The inability to connect production floor and supply chain data constrains bottleneck analysis and the optimization of production decisions
02

AI Without Manufacturing Context

  • -General-purpose AI does not sufficiently understand manufacturing-specific context such as BOM, processes, and equipment operation
  • -A lack of data quality and field context limits trust in AI results and their application to work
Industry Approaches

Manufacturing Intelligence Framework for AI-driven & Resilient Operations

A manufacturing intelligence framework for AI-driven production optimization and operational continuity

Production-centric Exposure Management

Operational Exposure Management

  • - Continuously identifying OT assets, remote maintenance, and partner-connected environments through CTEM and ASM, and selecting priority response targets based on production impact
  • - Continuously assessing the real intrusion potential that could extend to PLCs and SCADA through CART attack-path verification, minimizing the risk of operational disruption

Manufacturing Threat Intelligence

Threat Intelligence Operations

  • - Analyzing ransomware, supply chain attacks, and APT threats within the relationship between manufacturing-specific attack methods and production assets to identify the threats that need priority response
  • - Automating the detection, analysis, and response flow through AI SecOps and threat hunting, and strengthening the protection of production continuity and manufacturing intellectual property (IP)

Manufacturing Context Intelligence

Manufacturing Context Foundation

  • - Connecting ERP, MES, PLM, SCADA, quality, and supply chain data through ontology and knowledge graphs to build a manufacturing operations context centered on products (BOM), processes, and equipment
  • - Integrating the operational context of production, quality, equipment, and procurement teams through a semantic layer, and supporting consistent manufacturing decisions through multi-domain cross-analysis

AI-orchestrated Factory Operations

Factory Execution Intelligence

  • - Automating production planning, quality inspection, equipment operation, and predictive maintenance workflows through domain-specific AI and AI agents to improve operational efficiency
  • - Continuously analyzing and adjusting production schedules, equipment conditions, and process parameters to improve productivity and yield
Use Cases & Operational Success

An implementation case at global automobile manufacturer A

External Attack Surface Monitoring l Dark Web·Telegram Intelligence

Using ASM, we continuously verified externally exposed assets and attack paths to prioritize the risks that could affect production operations. Drawing on CTI, we analyzed early threats on the dark web and Telegram related to the company and its partners, along with signs of blueprint and production data leaks, and proactively managed production disruptions and supply chain risks.

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Solutions We Provide

Cyber Security

AI Security GovernanceDeep & Dark Web MonitoringAccount Take-over MonitoringCyber Threat IntelligenceAttact Surface ManagementPenetration TestingAI Red TeamingIncident Response

Strategic Data Intelligence

OntologyDomain-specific AIDecision AI