Data Security

Learn how organizations protect sensitive data across cloud, SaaS, and AI systems. These articles break down classification, governance, and the methods teams use to secure data end to end.

Data Leakage: Risks, Causes, & Prevention

Data leakage is the unchecked exfiltration of organizational data to a third party. It occurs through various means such as misconfigured databases, poorly protected network servers, phishing attacks, or even careless data handling.

What is Data Security in 2026?

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Data security in 2026 demands a shift from perimeter defenses to continuous, context-aware protection across cloud, SaaS, and on-prem environments.

Data Categorization: Types, strategies, and steps

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In this article, we'll explore the different types of data categorization, strategies for effective management, and how to avoid common pitfalls that can complicate cloud data governance.

What is Data Classification?

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In this post, we’ll explore some of the challenges that can complicate cloud data classification, along with the benefits that come with this crucial step—and how a DSPM tool can help make the entire process much simpler.

Data access governance (DAG) explained

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Data access governance (DAG) is a structured approach to creating and enforcing policies that control access to data. It’s an essential component of an enterprise’s overall data governance strategy.

13 Essential Data Security Best Practices in the Cloud

Cloud data security is the practice of safeguarding sensitive data, intellectual property, and secrets from unauthorized access, tampering, and data breaches. It involves implementing security policies, applying controls, and adopting technologies to secure all data in cloud environments.

What is Data Risk Management?

Data risk management involves detecting, assessing, and remediating critical risks associated with data. We're talking about risks like exposure, misconfigurations, leakage, and a general lack of visibility.

What is a Data Risk Assessment?

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A data risk assessment is a full evaluation of the risks that an organization’s data poses. The process involves identifying, classifying, and triaging threats, vulnerabilities, and risks associated with all your data.

What is Data Flow Mapping?

In this article, we’ll take a closer look at everything you need to know about data flow mapping: its huge benefits, how to create one, and best practices, and we’ll also provide sample templates using real-life examples.

What are Data Security Controls?

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Data security controls are security policies, technologies, and procedures that protect data from unauthorized access, alteration, or loss

Sensitive Data Discovery

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In this post, we’ll find out why the sensitive data discovery process is so important—along with some of the main challenges. We’ll see how companies tackle the daunting task of classifying their data.

What is Cloud Data Security? Risks and Best Practices

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Cloud data security is the comprehensive strategy of preventing data loss or leakage in the cloud from security threats like unauthorized access, data breaches, and insider threats.

Shadow Data

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Shadow data is any data that is created, stored, or shared outside of an organization's formal IT environment and management policies.