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Learn from Netrix Global subject matter experts and stay up to date on industry best practices, trends, insights, and more.

CYBERSECURITY
Matt Campbell

SOC 2 for Microsoft Azure: Controls, Evidence, and Common Pitfalls

BLOG ARTICLE Table of Contents Introduction In a cloud-first world, trust is not optional—it’s the foundation of doing business. For organizations that manage or process customer data in the cloud, proving that they have strong security controls and reliable internal controls is essential. Enter SOC 2 compliance. Governed by the

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DATA & AI
Chris Clark

Governance Gaps in the GenAI Era: Why Traditional DLP Is Not Enough

BLOG ARTICLE Table of Contents Introduction Generative artificial intelligence is transforming how businesses operate. Large language models can draft emails, summarise documents and even generate code, while image generation tools create marketing materials and product mock ups with astonishing speed. This rapid adoption is creating enormous value, but it is also

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CYBERSECURITY
Netrix Global

Azure Landing Zone: Reference Architecture, Security Guardrails, and Costs

BLOG ARTICLE Table of Contents Introduction As organizations accelerate their move to the cloud, many of them now realize that simply deploying workloads to Microsoft Azure isn’t enough. Even the most ambitious cloud adoption strategy can turn chaotic without a defined framework for governance, security, and cost control. That’s where

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CYBERSECURITY
Chris Clark

Microsoft 365 Security Hardening Checklist (Defender, Entra ID, Purview)

BLOG ARTICLE Table of Contents Introduction Microsoft 365 has become the backbone of daily operations for millions of organizations. With email, file storage, collaboration, and sensitive information all living in one location, it’s become a prime target for attackers. As more organizations adopt Microsoft 365, the threat landscape grows, with

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DATA & AI
Chris Clark

The Hidden Data Leaks Happening Inside Your AI Tools

BLOG ARTICLE Table of Contents Introduction Artificial intelligence is transforming the way organizations work. Large language models and generative AI assistants help employees write emails, summarize meetings and make faster decisions. These tools promise to increase productivity, unlock innovation and reduce costs. However, with great power comes great responsibility. The same AI tools that accelerate your

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