Data Security Insights & Research

Data Security Best Practices in 2026: Practical Controls to Protect Sensitive Data

A 2026-ready guide to data security best practices: discovery, classification, encryption, key management, MFA/RBAC, DLP, monitoring, and incident response across cloud, mainframe, and on-prem.

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Data Protection vs Data Security

What's the difference between data protection vs data security? Learn how they work together to safeguard sensitive data, ensure compliance, and prevent breaches.

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Mainframe Encryption: How to Secure Critical Data in 2026

Learn how to secure mainframe data in 2026 with encryption, tokenization, and agentless protection for hybrid environments.

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Mainframe to Cloud: Secure Solutions for Data Pipelines

Learn how to secure mainframe to cloud data pipelines with encryption, tokenization, zero trust, and agentless controls that protect sensitive data across hybrid environments.

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GCP Security Guide: Protecting Your Side of the Shared Responsibility Model

Protect sensitive data in Google Cloud with data-centric security. Learn how to discover, classify, and secure GCP data across hybrid and multi-cloud environments.

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AWS Security Best Practices: How Infrastructure Leaders Win Their Side of the Cloud

AWS security best practices for IT leaders who own data security, IAM, and compliance across complex cloud environments.

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Data Security Principles: Core Principles & Best Practices for 2026

Data Security Best Practices in 2026: Practical Controls to Protect Sensitive Data

Data Protection vs Data Security

Mainframe Encryption: How to Secure Critical Data in 2026

Mainframe to Cloud: Secure Solutions for Data Pipelines

GCP Security Guide: Protecting Your Side of the Shared Responsibility Model

AWS Security Best Practices: How Infrastructure Leaders Win Their Side of the Cloud

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