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.

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.

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.

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.

AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks. This shift reflects a growing awareness of AI-specific risks and the need for more granular controls. As the founder of Nightfall AI, a startup building AI models for data security, I've navigated hundreds of procurement cycles and observed a rise in AI-specific requirements.

You can ensure data integrity in your organization by enabling data encryption, investing in a password manager, regularly backing up your data and implementing strict access controls. Data integrity ensures that your data is accurate and complete, meaning it hasn’t been changed, removed or stolen by an unauthorized user. Continue reading to learn why data integrity is important and how your organization can ensure your data is accurate, complete and consistent.

Software as a Service (SaaS) has quickly become popular and has changed the way businesses work by making them more scalable, flexible, and efficient. Cloud-based apps are convenient, but they also come with the duty of keeping them safe from cyber threats. As more businesses move private data to the cloud, security for SaaS has become very important. This is because the data is vulnerable to risks like cyberattacks, data breaches, and unauthorized access.

What is DSPM? Data Security Posture Management, or DSPM refers to the practice of assessing and managing an organization’s overall data security posture. It involves monitoring, evaluating, and continuously improving the effectiveness of data security controls and measures in place to protect sensitive information. What is Data Security Posture Management? It provides a holistic view of an organization’s data security status and helps identify vulnerabilities, gaps, and areas for improvement.

In part two of our blog series, The states of data, we’ll be discussing the various threats to sensitive data at rest in the form of a case study on Morgan Stanley’s data breach. Before we delve into that, let’s look at what data at rest is and see a few examples of data at rest in an organizational context.