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,...

Portion marking is a document handling method for labeling the classification or sensitivity level of each part in classified or sensitive documents. Individual sections, such as paragraphs, headings, subheadings, figures, tables, etc., are marked to specify their classification level.These markings help ensure that each part of the document is handled, stored, and redacted or declassified...

Malaysia's Cyber Security Act 2024 went into effect this past August 2024. Here's what you need to know to remain compliant.

Indonesia's newest Personal Data Protection Law is set to go into effect in October 2024. Here's what you need to know to prepare for proper compliance.

As governments find themselves switching fully to digital methods, it becomes time to definitively establish the rules of the security game. The Kingdom of Saudi Arabia’s (KSA’s) National Data Management and Personal Data Protection Standards are designed to do just that, setting for the cybersecurity practices that will safeguard public and government-owned data as part of the Vision 2030 initiative.

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

Data classification methods are techniques used to organize and categorize data into various distinct classes or groups. These methods are essential for numerous applications, such as data analysis and machine learning, as well as data security, data management, and regulatory compliance.What Is Data Classification?Data classification is the process of organizing and categorizing data into...

Organizations must constantly make decisions about their data. This can be challenging, especially given today’s high-frequency volume and variety.Data classification guidelines provide a structure for managing, protecting, and utilizing data effectively in an organization. By following the guidelines enumerated in this article, organizations can ensure a functional and effective data...

Learn the key differences between Personally Identifiable Information (PII) and Sensitive Personal Information (SPI), as well as their definitions, examples, and regulatory requirements. Understanding these distinctions is crucial for effective data protection and compliance with evolving privacy regulations.

Not every organization can afford to engage in a data arms race to remain competitive in the data-hungry era of generative AI and large language models. However, embracing data classification best practices is a cost-effective way to get the desired outcomes from your data, highlighting its important value, risk sensitivity, and compliance requirements. Data classification best practices involve a...

Organizations must collect and manage data effectively to remain competitive in today’s digital world. Data management is a vital area of enterprise management, with good practices necessary for regulatory compliance, business intelligence, and competitive advantage.What Is Data Management?Data management refers to the process of collecting, storing, organizing, and using data efficiently,...

Data classification levels have various use cases in businesses and governmental institutions. They define how data should be handled based on sensitivity and importance, allowing for more effective and secure data management.What Are Data Classification Levels?Data classification levels are categories used to organize data based on its sensitivity, confidentiality, and potential impact should it...

An organization must define how it classifies its data set so it can take the necessary measures to protect them effectively. Since all data isn’t created equal, data classification enhances this by highlighting the sensitivity levels.What Is a Data Classification Schema?A data classification schema is a framework or structure that organizes and categorizes data into different classes or...

There's a lot of hype around the use of AI in all aspects of life, not to mention in cybersecurity. As you may have gathered, some of this hype is overblown and in the data protection space, akin to delivering a “magic bullet” to solve an organization’s content analysis problems.With this in mind, I thought I’d highlight how artificial intelligence is actually used within Fortra’s Data...

Learn why data identification is an important first step in a sound data protection strategy, how it relates to data discovery, and more.

Company-wide policies require documents that articulate and clarify how organizations want processes implemented. A data classification policy template is a pattern used to specify predefined rules to ensure an organization’s data is systematically protected.

How do you classify data in your organization? Conducting a data risk assessment and keeping compliance regulations top of mind are some of the first steps to protecting an organization’s data.

The explosion of data and the velocity of its delivery have compelled organizations to incorporate an integrated set of processes, practices, and policies to guide their data use. Data governance ensures there’s a well-defined, company-wide framework that can foster proper data stewardship.

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

Digital Guardian’s data classification capabilities have helped organizations better understand their data for years but for businesses looking to empower further their users and automate their data protection programs, there are additional options available. Fortra's acquisition of Boldon James and Titus three years ago has brought a wealth of data classification knowledge and technology under...