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 ...

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.

Erin Cunningham is a writer and editor based in Maryland with experience writing about state and local government, education, technology and more. The education sector is no exception to the ...

Data loss prevention (DLP) vendors are racing to add support for generative AI use cases to their platforms, following the popularity and increasing adoption of ChatGPT since its release in November ...

A more comprehensive approach to security management in the law firm is to layer a data loss prevention systems strategy on top of electronic redaction, metadata management and encryption. DLP systems ...

Nightfall AI has launched the industry's first autonomous data loss prevention platform, introducing an AI agent that automatically investigates security incidents and tunes policies without human ...

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 ...

SEATTLE, March 18, 2025 /PRNewswire/ — MIND™, the upcoming leader in data loss prevention (DLP), and TechTarget's Enterprise Strategy Group (ESG), a leading IT analyst, research and strategy firm, ...

Eric Marchewitz is a field solution architect with a 23-year career in cybersecurity solutions, working for such companies as PGP Security, McAfee, Cisco and Check Point. As I talk with state and ...

Schools store, handle and transmit some of the most sensitive data that exists about people, including grades, health status, addresses, Social Security numbers and even financial information. And ...

Process mining is a process management technique to extract knowledge from the event logs recorded by an information system. The authors show how applying an appropriate semantic lifting to the event ...