Technology

Technology companies drive innovation and economic growth. The Internet unleashed businesses to optimize their operations, scale to support growth and enhance customer experiences. However, the Internet of Things, machine learning, artificial intelligence, remote work technologies, communication technologies, and many more have opened up a plethora of cyber risks that businesses must utilize to protect themselves and their data from.

Legacy cybersecurity technologies and processes are designed to defend the perimeter and endpoints, not the data the threat actors want to attain. Technology cybersecurity teams need to establish data security practices to protect their most critical asset, their data. Technology companies must protect their reputations, revenue, and trustworthiness by protecting their data.

The Technology Data Security Challenge: Protecting Proprietary Business Information and IP Theft

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.

Vendor/Partner Risk

Technology companies and their products combine mobile, network, hardware, software, and data storage capabilities. These multi-provider networks create dependencies and a massive volume of data that needs to be stored and protected. Businesses, vendors, and customers are interconnected via APIs, portals, and, most importantly, data. If one customer or vendor 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

Technology businesses 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 information security standards and regulatory requirements (such as SOC2, ISO 27001, ISO 27017, ISO 27018, ISO 27701, CIS Standards, CSA STAR, FedRAMP, StateRAMP, TX-RAMP, 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. Technology 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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