Remove solutions security-frameworks
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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.

Data 329
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3 business benefits of stronger security using Zero Trust principles

CIO

Historically, these weren’t designed with security in mind. OT assets are highly vulnerable to attack because they don’t have built-in security, traffic isn’t encrypted and there’s low visibility into their functioning. Security is paramount for the core infrastructure that supports manufacturing and industrial operations.

IoT 313
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Navigating Cloud Cost Complexity and Security

CIO

In the ever-evolving landscape of cloud computing, today’s leading enterprises are seeking ways to optimize their operations and enhance their security measures. Cloud costs and security are two critical aspects that every organization must carefully manage, and they are more closely intertwined than you might think.

Cloud 322
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What the Digital Operational Resilience Act means for you

CIO

But while there’s plenty of excitement and change underway, security risks and vulnerabilities have continued to follow right alongside that innovation. But what exactly does this policy mean for IT security? And how can businesses ensure they’re ready? So, who needs to adhere to DORA?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Gaining an AI advantage: Not all AIs are created equal

CIO

We have seen a lot of companies promising AI solutions for Cybersecurity in the Cloud, but let’s be clear: when it comes to AI in Cybersecurity, it is important to understand that not all AIs are created equal. Real-time processing is key to keeping systems secure and ensuring swift incident handling.

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Patient data is at greater risk than ever. AI can help

CIO

Concurrently, the threat posed by data breaches increases, risking patient privacy and regulatory breaches such as with security measures incorporated in the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR). The good news is that AI can be used to improve security.