2023 Gartner® Security Leader’s Guide to Data Security

According to Gartner, "By 2025, 30% of Gartner clients will protect their data using a “need to share” approach, rather than the traditional “need to know” approach.

Also, "By 2027, at least one global company will have it’s AI deployment banned by a regulator for it’s noncompliance with data protection or AI governance legislation."

Read the Gartner Security Leader’s Guide to Data Security to learn more about managing the risks associated with the rapid growth of data, increased adoption of AI, and ongoing cloud migration efforts. This report will help you understand the importance of building an effective data foundation to know your data and protect it against loss and undue exposure.

According to Gartner, "Data is the cornerstone of digital business and includes a wide spectrum of sourced and derived data. It can include information needed by service employees, partners and customers. This data may be sensitive, such as personally identifiable information (PII), personal health information (PHI), payment card information (PCI) or other regulated data, internal and external communications. It may also include intellectual property, other sensitive or confidential information, and the continually growing use cases for data and analytics, including widespread adoption of AI."

‍Access the Gartner Security Leader’s Guide to Data Security to learn more about:

• The roadmap for data security maturity 
• Risk appetite and ways to leverage data
• Importance of Data Classification
• Protecting against data loss
• Mitigating threats of data exposure from AI usage

_{Gartner, Security Leader’s Guide to Data Security, Andrew Bales, 7 September 2023}

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