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What Is Enterprise Architecture (EA)? – Definition, Methodology & Best Practices

erwin

Data Security & Risk Management. EA empowers organizations to be proactive with security, instead of reactive, by identifying risks ahead of time. Big Data Adoption. – Definition, Methodology & Best Practices appeared first on erwin, Inc. Regulatory Compliance.

Big data 140
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Mastering identity security: A primer on FICAM best practices

IBM Big Data Hub

For federal and state governments and agencies, identity is the crux of a robust security implementation. Numerous individuals disclose confidential, personal data to commercial and public entities daily, necessitating that government institutions uphold stringent security measures to protect their assets.

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Supply Chain Security 101: An Expert’s View

Krebs on Security

alongside Tony Sager , senior vice president and chief evangelist at the Center for Internet Security and a former bug hunter at the U.S. National Security Agency. Tony Sager, senior vice president and chief evangelist at the Center for Internet Security. TS: Like a lot of things in security, the economics always win.

Security 209
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Data Security Begins with Content Minimization: A 3-Step Approach

AIIM

Only 3 of the worst 10 data breaches of all time happened in 2019, but it was still not a good year for data security. However, one significant contributing factor in many of them was that organizations collected and retained data they generally didn’t need – and if they did, they didn’t need to retain it as long as they had.

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Data Governance Makes Data Security Less Scary

erwin

Now, as Cybersecurity Awareness Month comes to a close – and ghosts and goblins roam the streets – we thought it a good time to resurrect some guidance on how data governance can make data security less scary. Don’t Scream; You Can Protect Your Sensitive Data. Who has access and permissions to the data?

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Best practices for hybrid cloud banking applications secure and compliant deployment across IBM Cloud and Satellite

IBM Big Data Hub

Moreover, many of these financial services applications support regulated workloads, which require strict levels of security and compliance, including Zero Trust protection of the workloads. This requires a deep level of security and compliance throughout the entire build and deployment process. initiative.

Cloud 92
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How to Do Data Modeling the Right Way

erwin

What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management.