The Data Loss Prevention (DLP) Buyer’s Guide outlines key criteria for evaluating modern data protection solutions in a rapidly changing technology landscape. As organizations increasingly adopt AI, cloud services, SaaS platforms, collaboration tools, and hybrid work models, sensitive information now moves across more systems and users than ever before. Traditional DLP solutions were designed for static environments and often struggle to provide visibility into modern data flows, leaving organizations exposed to new exfiltration risks. The guide emphasizes that effective DLP must evolve beyond simple content inspection to understand how data is created, shared, accessed, and used across endpoints, applications, and AI platforms. By focusing on visibility, context, accuracy, automation, and

Join for free to read