What is Data Loss Prevention (DLP) software? Data Loss Prevention software, also known as DLP, refers to the practice of detecting and preventing a data leak, information loss, insider threat, and ...

Data loss prevention is important for all types of business data, but it is critical for the personally identifiable information of private individuals. We explore DLP solutions. There are valuable ...

In a world where data breaches are becoming increasingly common, it’s essential to take steps to protect enterprise information. That’s where data loss prevention tools come in. These tools can help ...

Data loss prevention solutions have become an important tool in the chief information security officer’s toolbox with the rise in popularity of generative artificial intelligence in the enterprise.

While professional data recovery services may cost thousands of dollars, they represent a fraction of the true cost of ...

Info-Tech Research Group has published its annual Data Loss Prevention (DLP) Data Quadrant Report, identifying the top six DLP solutions for the year. Based on end-user data from its SoftwareReviews ...

Trend Micro today announced an updated version of its Windows desktop-based data-loss prevention software in two editions; one “Standard” for monitoring users and data, the other “Advanced” to add ...

When it comes to technology on the front lines of healthcare data security, data loss prevention software is one of the key defenses to safeguard protected health information – nearly as important as ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today, Security Service Edge (SSE) provider NetSkope announced the launch ...

Many organizations lack the tools to protect and secure data, as records show over 3200 instances of data compromise happened in the US last year, according to ITRC's data breach report. Data loss ...

What is Data Loss Prevention (DLP)? Your email has been sent DLP helps organizations protect their sensitive data. Learn about the best practices and tools available ...