The cloud has become the de facto platform for app deployment, making cloud resources a target for malicious agents and a priority for data protection. Maintaining a secure cloud environment is essential for fostering and upholding customer trust, a cornerstone of a positive business reputation. Therefore, as organizations increasingly rely on cloud computing, it is imperative they understand the...

Learn about key risks to cloud data, including breaches, loss, compliance issues, misconfigurations, and how to reduce these security threats.

Cybersecurity is more critical than ever with the proliferation of digital technologies. An organization's security posture—its ability to protect its information systems and respond to security incidents—plays a crucial role in minimizing cyber risks.

Intellectual property is the engine that drives capitalism’s innovation. Therefore, to safeguard their ideas and competitive advantage, businesses must jealously protect their intellectual property rights.

On 28 November 2024, the Australian government passed the Privacy and Other Legislation Amendment Bill 2024 (Cth), putting a major point in the column of Australian privacy rights. The Bill was signed into law just days after the Australian Senate approved another landmark piece of privacy legislation, the Cyber Security Act 2024 (Cth). Both received Royal Assent on 29 November 2024 and are now...

GSC is a policy system used by the UK government and public sector organizations to classify information and data assets. This system helps manage and protect information from threats and breaches by providing guidelines on handling specific types of information.The GSC utilizes three classification tiers: OFFICIAL, SECRET, and TOP SECRET, each representing a different level of sensitivity...

The CMMC is a Department of Defense standard that assesses defense contractors' ability to protect sensitive data, such as Federal Contract Information. This certification ensures that contractors have the necessary controls to protect sensitive data.It comprises five levels of certification, each with a set of supporting practices and processes to assess the maturity and reliability of a company...

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.

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.

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.

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...