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What is Data Governance?

As the importance of data continues to grow, and the amount of data being processed by organizations grows further, many organizations are beginning to feel the constraints and demands of compliance. Therefore this makes data governance paramount to guarantee the security, accuracy, availability, and usability of your data. Data governance encapsulates the approach to managing data during its lifecycle, from acquisition, to use, to disposal.

How Secure is your Engineering Data?

The manufacturing industry has undergone a huge digital transformation in recent years. While these changes have increased productivity, the industry has also experienced new pressures from cybersecurity. In 2022, the industry has been vulnerable to 250 data violation incidents in the United States alone costing nearly 23.9 million USD. More and more industries are finding their intellectual property (IP) at risk as threat actors become more sophisticated.

Adding Multiple Watermarks to Protect IP in Microsoft Office Documents

Protecting intellectual property (IP) and trade secrets is critical to a company’s bottom line. Keeping IP and sensitive business-critical information within the confines of the company and its employees is not always possible, especially in the manufacturing industry. Vendors must often share previews of new products with retailers and distribution partners before release.

Maximizing Efficiency: The Significance of TDM for Sensitive Data

Organizations dealing with sensitive information must prioritize Test Data Management, a critical practice in the era of data-driven operations. The importance of precision in handling sensitive data cannot be overstated. This article explores the key reasons why utilizing Test Data Management (TDM) for sensitive data is not just beneficial but imperative for ensuring smooth operations and minimizing risks.
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Looking to 2024: Data, AI and security will be top priorities for businesses

The technology landscape has evolved significantly over the last year with the introduction of technologies such as ChatGPT and other generative AI tools taking the market by storm, while raising concerns about data security and more. As we move forward into 2024, we anticipate that the impact these new technologies have made this year means they will continue to pave the way forward, with AI remaining a hot topic in the industry, while data security concerns rise around it.

7 Effective Security Measures to Combat Cyberterrorism

Cyberterrorism exists, but it is a concept that is difficult to pigeonhole. The story is similar to “physical terrorism,” where there are always shades of gray to consider – Was something an act of terrorism, or was it just an act of gratuitous malevolence? Many acts of terrorism are definable, and the same applies to cyberterrorism. However, the blurring of the lines is even more apparent with cyberterrorism.

CISO Advisory Board Response to The State of Data Security: Securing an Uncertain Future

Rubrik Zero Labs’ recent study accentuated several hard truths we think are important and warrant a response from Rubrik’s CISO Advisory Board. First, let’s confirm what many of us have already discussed: It’s not fun to be a CISO right now. There’s an overwhelming amount of expectation—from the board to business unit owners—to figure out how to grow and use data, but also keep it secure, and figure out what happens when it’s not.

Discover, triage, and remediate sensitive data issues at scale with Sensitive Data Scanner

Managing sensitive information in your telemetry data poses many challenges to governance, risk management, and compliance (GRC) teams and overall security. Organizations in healthcare, finance, insurance, and other fields must carefully adhere to strict compliance requirements. But sensitive data comes in many forms and moves between many endpoints, and as a result, it can easily become exposed in telemetry data.