What is Data Loss Prevention (DLP)?

Data Loss Prevention (DLP) refers to a comprehensive set of cybersecurity technologies, strategies, and processes designed to ensure that sensitive enterprise data—such as customer records, intellectual property, financial details, and personally identifiable information (PII)—is not lost, misused, or accessed by unauthorized users.

How DLP Works

DLP solutions monitor data across three primary states: data in use (active on endpoints), data in motion (transiting the network), and data at rest (stored in cloud repositories, databases, or local filesystems). By classifying content and enforcing policy-based controls, DLP prevents unauthorized users from sharing or transferring sensitive information.

DLP in the Cloud and SaaS Era

As organizations migrate workloads to SaaS and embrace generative AI, traditional endpoint-centric DLP struggles with unmanaged cloud applications and shadow AI tools. Modern SaaS and AI data governance requires identity-centric controls that monitor access permissions, OAuth tokens, and cross-application data flows.

Discover Data Protection with Grip

Learn how Grip delivers continuous visibility into cloud applications, unmanaged access, and data security risks with our SaaS Security Platform or Book a Demo.