Manufacturing organizations are the backbone of the global economy. These organizations collect vast amounts of data from their customers, supply partners, research & development projects, and more. In the last few years there has been a boom in terms of manufacturing organizations using automation, Internet of Things, artificial intelligence, and cloud computing to optimize their businesses and compete in international markets at a higher velocity. However, the faster a manufacturing organization moves to innovate and automate, the faster their security team must move to secure the business from cyber threats.
Legacy cybersecurity technologies and processes are designed to defend the perimeter and endpoints, not the data the threat actors want to attain. Manufacturing cybersecurity teams need to establish data security practices to protect their most critical asset, their data. Manufacturing companies must protect their reputations, revenue, and trustworthiness by protecting their data.
The Manufacturing Data Security Challenge: Protecting Customer and Proprietary Business Information
Compliance and Data Privacy
Most technology companies operate across multiple jurisdictions and borders, and are challenged to maintain pace and compliance with various evolving privacy law requirements – GDPR, CCPA, and more.
Supply Chain Partner Risk
Manufacturing companies are highly susceptible to supply chain attacks. Threat actors will happily attack supply chain partners to laterally move through their networks, collect identity and access control credentials for manufacturing partners, and will then breach their main target organization. These supply chain partnerships create dependencies, shared user credentials and access to portals, and a massive volume of data that needs to be stored and protected. If one supply chain partner experiences a breach, this might create a domino effect in which customer data, business data, vendor data, and mission critical data is exposed or stolen.
Intellectual Property (IP) Theft
Manufacturing organizations are targets for IP theft. These organizations protect data such as blue prints, chemical formulas, trade secrets, company contacts, go to market strategies, and more. In order to protect IP, manufacturing companies need to know where it is stored, who has access to it, and what is being done with that data.
Data Security Best Practices with Cloud Adoption
- Understand where customer data is stored, how it is accessed, and how it is used, so that proper access permissions can be enforced.
- Gain visibility and effectively manage data security posture, e.g., detecting dormant data, while transitioning to hybrid cloud operations.
- Sustain and maintain pace with evolving regulatory requirements (such as GDPR and CCPA) while differentiating services from competition.
Learn How Symmetry Systems DataGuard Can Help!
DataGuard is a data security posture management (DSPM) solution that extends the zero trust philosophy to hybrid cloud data stores.
DataGuard is a data security posture management (DSPM) solution that extends the zero trust philosophy to hybrid cloud data stores. Manufacturing industry cybersecurity teams use DataGuard to develop a complete understanding of what data they have, where it is located, who has access to it, how it is secured and in what manner it has been used. DataGuard enables businesses with a single source of truth about their data security posture and associated data risks across AWS, GCP, Azure, and on-premise environments – without having data ever leaving their environment.
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