Smart Manufacturing Solutions

Industry Background

Smart manufacturing, as a key direction for the transformation and upgrading of the global manufacturing industry, is driving the production methods towards intelligence and service orientation. Companies, in the context of globalization, need to enhance their core competitiveness through technological innovation and at the same time face challenges in data security supervision and protection, as well as compliance with data security in supply chain. Data, as the core asset of smart manufacturing, is directly related to the operational security and trade secrets of the company. Enterprises must establish and improve data security management systems, implement classified and graded protection of data, and at the same time strengthen the supervision of data security at all stages of the supply chain to ensure the security of data at all stages of collection, storage, use, processing, transmission, provision, and public disclosure. In the wave of smart manufacturing, companies must seize the opportunities of digital transformation and at the same time build a solid defense line for data security.

Challenges

Data assets protection needs in smart manufacturing mainly covers

  • Data assets categorization and classificationHow to effectively categorize and classify numerous data types, and conduct clear management to them.
  • Data transmission risks As the manufacturing business ecosystem becomes increasingly complex, how can we ensure the smooth flow of data between different business links while maintaining data security?
  • Regulatory and compliance needs Compliant with the legal and regulatory requirements of multiple countries.
  • Insider threat protection The focus is shifting from traditional retrospective analysis and post-event iterations to predictive awareness and proactive protection of data risks.

Solutions

To address the data security needs foe smart manufacturing, we propose the following solutions

  • Data Security Automated Governance (DSAG) Support Gartner DSG framework, and integrate automation tools to realize automated workflow in critical links of DSG, enabling manufacturing industry to save energy and increase efficiency and achieve data security governance.
  • CARTA model Leverage big data, AI, ML, and other technologies to build an integrated security protection platform that provides comprehensive analysis and protection over data and risky behavior.
  • Insider Threat Management (ITM) Leverage behavior analysis technology and a data protection system to monitor, predict, and proactively prevent insider users’ behaviors.

Typical Scenarios

Scenario 1: data categorization and endpoint protection

To address the problems of complex data types and distributed storage locations in smart manufacturing enterprises, leverage data scanning, data categorization and classification, endpoint data protection and other capabilities, to comprehensively sort out the data assets and provide security protection.

Scenario 2: Email security

With the Advanced Secure Email Gateway (ASEG) , fully protect the enterprise's email system, block malicious email threats, and prevent core data loss through the email channel with the help of the DLP module.

Scenario 3: Human-Centric insider threat protection

Leverage both ITM and UCS technology to detect and monitor insider users’ behavior, obtain visibility to insider threat and provide active protection, securing the data assets of enterprise.

Solution Values

  • Laws and regulations compliance Compliant to all laws and regulations of multiple countries, enabling enterprise to reduce compliance risks.
  • Establish an insider security protection system Centered around data and people, help enterprises build a systematic, intelligent, and visible insider security protection system.
  • Promote business development On the premise of ensuring data security, accelerate the flexible flow of data assets and supports the healthy development of enterprise business.
  • Risk management and alert With intelligent analysis capability and dynamically-updated user risk probability values, to quickly pinpoint and alert high-risky users and events, enhancing enterprises’ response capability towards insider threats.

Conclusion

By combining advanced data security governance concepts and technologies, data security solutions for smart manufacturing industry not only ensure the security and compliance of enterprises’ data, but also promote the effective use of data and the smooth operation of business. SkyGuard's total data security solution builds a comprehensive, intelligent, and dynamic data security protection system for enterprises, ensuring they move forward steadily in their journey of digital transformation.