Security technique that regulates who or what can view or use resources in a computing environment.

Programmatic interfaces that enable DLP solutions to connect with and monitor third-party applications and services.

Established patterns of normal user activity used as a reference point for detecting anomalous behavior.

Advanced analysis technique that identifies anomalous user behavior patterns to detect potential data breaches.

Data Loss Prevention solutions designed specifically for cloud environments and SaaS applications.

Automated process of locating and cataloging sensitive data across an organization's IT infrastructure.

Unified data security approach that provides consistent protection across different operating systems and platforms.

Information that is stored on physical or virtual storage devices and not actively moving through networks.

Unauthorized transfer or copying of sensitive data from an organization's systems to external locations.

Data that is actively moving from one location to another across networks or between systems.

Active data that is being processed, accessed, or manipulated by applications and users.

Cloud-delivered data protection services that provide comprehensive DLP capabilities without on-premises infrastructure.

Technology that maintains the source and lineage information of data throughout its lifecycle and transformations.

Legal and regulatory requirements governing the physical storage location of data.

Advanced analysis and reporting capabilities that provide insights into data-related risks and compliance status.

Security response action that isolates compromised or high-risk devices from network access while preserving evidence.

Real-time user education and guidance provided at the point of potential policy violations.

Software component installed on user devices to monitor and control data activities at the endpoint level.

Precise matching technique that identifies specific sensitive data elements using exact pattern recognition.

Incorrectly flagged content that appears to violate DLP policies but is actually legitimate.

Technique that creates unique digital signatures of documents to enable precise identification and tracking.

Systematic gathering and preservation of digital evidence for security investigations and compliance purposes.

Adherence to the General Data Protection Regulation requirements for personal data protection and privacy.

Specialized security measures designed to protect sensitive data when using generative artificial intelligence tools.

Structured approach to handling and managing data security incidents and policy violations.

Comprehensive approach to identifying, monitoring, and mitigating risks posed by internal users with legitimate access to systems.

Basic detection method that identifies sensitive content based on predefined keywords and phrases.

Advanced AI technique that improves detection accuracy through automated learning from data patterns.

Cloud infrastructure design that securely serves multiple organizations from a single software instance.

Security solution that monitors and controls data transmission across network infrastructure.

Technology that extracts text from images and scanned documents for content analysis.

Information that can be used to identify, contact, or locate a specific individual.

Core component that evaluates content against defined rules and determines appropriate enforcement actions.

Comprehensive data monitoring and analysis without requiring predefined policies or rules.

Data protection technique that replaces identifying information with artificial identifiers while maintaining data utility.

Isolation mechanism that temporarily holds suspicious content for review and analysis.

Pattern matching language used to define complex search criteria for sensitive data detection.

Methodology for quantifying and prioritizing security risks based on various threat factors.

Targeted security training and awareness programs based on individual user risk profiles and behavior patterns.

Isolated environment for safely analyzing suspicious files and content without risk to production systems.

Advanced tracking methodology that follows data movement and transformations across systems while maintaining security context.

Unauthorized or unmanaged use of artificial intelligence tools and applications within an organization.

Data protection technique that replaces sensitive data with non-sensitive placeholder tokens.

Comprehensive tracking and analysis of user interactions with data and systems.

Technique that embeds identifying information into documents for tracking and attribution purposes.

Security model that assumes no implicit trust and continuously verifies every transaction.