A data classification model is a framework used to classify data points into specific categories or classes.

Learn how Fortra's Data Classification Suite can facilitate compliance with GDPR, HIPAA, PCI DSS, SOX, and other prominent data privacy regulations.

Learn why Data Security Posture Management (DSPM) is critical to your zero trust architecture and an excellent starting point for building security resilience.

Getting personally identifiable information (PII) classification right is one of the first steps to having an effective data protection strategy. We break down four best practices in this blog.

Secure cloud storage with protections equal to or stronger than traditional platforms. Learn cloud data protection challenges, best practices, and how DLP protects sensitive data.

Human error now plays a role in 95 percent of data breaches, making it more critical than ever for security teams to treat it as the substantial threat it is. In some cases, employees intentionally expose sensitive data for personal gain. But the most pervasive insider threats aren’t malicious — they’re accidental. This challenges the notion that an organization can become invulnerable if only it...

Automated data classification uses technology and algorithms to categorize and sort data automatically based on predefined criteria. The technology scans various data sets and accurately labels them according to their sensitivity and importance.This is a significant improvement over manual classification, as it is more efficient, less time-consuming,...

From which patches you can skip to the effectiveness of a “golden image,” find out the tips and tricks of CVE management.

Electronically Stored Information (ESI) refers to any data created, modified, communicated, or stored in digital form. This includes emails, documents, databases, instant messages, audio and video files, social media content, and more—essentially any information that resides in electronic systems. As digital communication and data storage have become the norm, ESI plays a pivotal role in legal...

Protecting data in the context of zero trust means moving beyond perimeter-based defenses to a model where no user, device, or application is inherently trustworthy. As a result, every access request is verified, continuously monitored, and limited to the minimum necessary permissions needed to perform a job function. This approach reduces the risk of insider threats, compromised credentials, and...

Discover what a CMMC audit involves, how it ensures compliance for defense contractors, and how it differs from other cybersecurity audits.

Multicloud security involves strategies and measures to safeguard data, applications, and infrastructure across multiple cloud environments.

Data Leak Prevention encompasses strategies and tools designed to safeguard sensitive data from unauthorized access, use, or disclosure.

MedusaLocker, the ransomware-as-a-service (RaaS) group that has been active since 2019 is openly recruiting for penetration testers to help it compromise more businesses. As Security Affairs reports, MedusaLocker has posted a job advert on its dark web leak site, which pointedly invites pentesters who already have direct access to corporate networks to make contact."If you don't have access,...

Data erasure, or data wiping, is a software method that securely overwrites and destroys all electronic data on a disk drive or digital media.

Digital forensics identifies, collects, and analyzes digital evidence to trace cyber breaches, assess data loss, and enhance future security.

AI data privacy refers to the ethical collection, storage, and usage of personal data by artificial intelligence systems.