Struggling to tell your APIs from your CDNs? Read our comprehensive cloud computing glossary covering the most common terms.
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Data Loss Prevention (DLP) is a group of processes, technologies, and strategies that work to prevent the loss, misuse, or unauthorized disclosure of sensitive information. DLP is based on data classification, monitoring, and policy enforcement to keep sensitive data safe within different environments such as networks, endpoints, and the cloud.
DLP products operate by scanning and classifying confidential information, like personally identifiable information (PII), financial information, or intellectual property. They afterwards impose policies on how the information is accessed, shared, and stored. DLP products track data in three general states:
Data at Rest: Protects stored data by enforcing encryption and access controls.
Data in Motion: Tracks and protects data as it moves over networks.
Data in Use: Controls data usage and access on endpoints such as mobile phones and laptops.
Network DLP: Tackles monitoring and controlling data as it traverses the network, typically using methods such as deep packet inspection to recognize sensitive data.
Endpoint DLP: Controls data in endpoint systems and bars unauthorized movement of data over USB drives, email, or other media.
Cloud DLP: Secures data held in cloud providers by policies and regulations to offer compliance with regulative demands.
Security: Avoids unauthorized access and use by individuals and reduces data exposure.
Compliance: Enables business organizations to comply with regulation demands such as GDPR, HIPAA, and PCI-DSS by ensuring data processing is in line with the provisions of the law.
Risk Mitigation: Balances and plots data loss risk, allowing companies to have some knowledge about usage and data flow.
Take, for instance, the case of a health organization that is required to secure patient records. Using DLP, the organization can label sensitive patient information, track its transit across networks and endpoints, and impose policies against unauthorized access or accidental disclosure. This ensures adherence to regulations such as HIPAA and safeguards information from breaches.
Policy Formulation: Create stringent policies outlining how sensitive data is accessed and shared within the organization.
Employee Orientation: Orient employees on data security and management of sensitive information.
Technology Integration: Install DLP solutions that are integrated into existing IT infrastructure to reduce downtime.
Regular Audits: Perform regular audits to check for compliance and areas for improvement.
In short, DLP is an integral part of an organization’s data security solution, offering a proactive means to safeguard sensitive data from unauthorized access or loss. By comprehending the various kinds of DLP and imposing sound policies and technology, organizations are able to guard their data alongside ensuring regulatory compliance.