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Data Security

The latest News and Information on Data Security including privacy, protection, and encryption.

Protecting Sensitive Data Sharing on Social Networking Sites

As organizations embrace social media for networking, marketing, and recruiting, platforms like Facebook, Instagram, LinkedIn, and X (formerly Twitter) have become integral to business operations. While social networking sites offer numerous benefits for productivity, collaboration, and engagement, they also introduce significant security challenges, particularly concerning the handling and potential exposure of sensitive data.

The Intersection Of Blockchain Technology And Cybersecurity: What To Watch

As blockchain technology becomes increasingly integrated into various sectors, its influence on cybersecurity is undeniable. The promise of decentralised systems offers stronger protection against threats. However, new challenges emerge with this integration. Understanding how blockchain intersects with cybersecurity is essential for businesses and individuals interested in safeguarding their digital assets.

The states of data, Part 3: Data in use and why you need to keep an eye on file activities

In our previous blog, The states of data, Part 2: Why visibility is key for protecting data at rest, we discussed the importance of discovering data; classifying it; assigning the right permissions; and getting rid of redundant, obsolete, or trivial data to protect data at rest. While doing all this can get you started, achieving data security takes more than that.

PII Data Classification: Key Best Practices

PII (Personally Identifiable Information) refers to data that can directly or indirectly identify an individual, such as names, addresses, or phone numbers. Protecting PII data is critical, as exposure can result in identity theft, financial fraud, or privacy breaches. With businesses collecting vast amounts of PII, proper PII data classification has become essential to safeguarding sensitive information and complying with data protection regulations.

Safeguarding Sensitive Information in the Age of Generative AI

Since its debut in 2022, ChatGPT has radically reshaped the way we interact with technology. Generative AI (genAI) platforms like ChatGPT, Google Gemini, and Meta AI have rapidly gained in popularity, offering capabilities that range from rewriting text to generating creative content. While these tools have created new opportunities for enhanced productivity, they’ve also introduced new security risks — particularly when users unknowingly share sensitive information.

Board Responsibilities for Data Security and Privacy

Corporate boards are tasked with ensuring that sensitive information—ranging from intellectual property (IP) and end-user information to sales statistics—is handled securely. As data becomes an ever-more valuable asset, so too do the risks associated with mismanagement.

Understanding EAR Compliance Regulations: Tips for US and non-US Companies

Coauthored with Eva Galfi, CEO & Principal Consultant, International Trade Advisors Pty Ltd The Department of Commerce’s Bureau of Industry and Security (BIS) implements and enforces the Export Administration Regulations (EAR) to regulate the export, reexport and transfer (in-country) commercial and less sensitive military items. If you need to comply with or learn more about US export control requirements, read our 6 W’s EAR Compliance to help you comply with these strict U.S.

Protecto Snowflake Integration Demo: Safeguard Sensitive Data!

Welcome to the Protecto Snowflake Integration Demo, where we show you how to safeguard sensitive data using Protecto’s advanced AI-powered masking tools! In today’s world, businesses using Snowflake for AI and analytics face significant risks with sensitive information hidden within unstructured data like comments and feedback columns. Protecto provides a unique solution, precisely masking only the sensitive parts of your unstructured data while leaving the rest untouched, ensuring your datasets remain valuable for analysis.

Mastering Data Masking: Key Strategies for Handling Large-Scale Data Volumes

Masking large volumes of data isn’t just a bigger version of small-scale masking—it’s exponentially more complex. High-volume data masking introduces unique engineering challenges that demand careful balancing of performance, integration, accuracy, and infrastructure costs. In this blog, we’ll dive into the critical factors you must consider when choosing the right tool for large-scale data masking, helping you confidently navigate these complexities.

Data Security Best Practices for Cloud CRM Systems as Adoption Surges

For the past few years, the CRM market has witnessed steady growth and it is projected to reach $89 billion by 2024. Estimates are that this growth will continue into the foreseeable future. Essentially, CRM systems have come to stay and have become the backbone of many organizations. However, the bleak state of cybersecurity cuts across many industries, and CRM systems are equally vulnerable.