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Protecting Big Data, while Preserving Analytical Agility

Thales Cloud Protection & Licensing

And, as more data is available for analytical purposes, more sensitive and private information is at risk. But in a Big Data analytics environment, the data must also be instantaneously available to those authorized to use it. The age of Big Data is upon us. respondents.”.

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[Podcast] Finding Success at the Intersection of Content Services, Cloud, and Analytics

AIIM

Click here to access our full library of episodes. Listen to Stephen discuss the changing strategies and approaches to content services on this podcast episode ; then, check out the webinar for even more information ( note: the webinar will also be available on-demand after the live date ). Want more episodes like this?

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The Clock To Q-Day Is Ticking: InfoSec Global and Thales Provide Collaborative Path to Quantum Readiness

Thales Cloud Protection & Licensing

Our blog will highlight the significance of utilizing analytics-driven solutions to efficiently discover, manage, and protect cryptographic assets within an organization's environment, including keys and certificates, algorithms, ciphers, libraries, etc.

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How to move from IBM Cloud Functions to IBM Code Engine

IBM Big Data Hub

When migrating off IBM Cloud Functions, IBM Cloud Code Engine is one of the possible deployment targets. IBM Cloud Code Engine is a fully managed, serverless platform to (not only) run your containerized workloads. They could be typical batch activities, analytics processing or even AI model training.

Cloud 59
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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Log4j Vulnerability Puts Enterprise Data Lakes and AI at Risk

eSecurity Planet

Actually, pretty much all software uses this library written in Java, so it’s a very widespread risk and concern. They tried to use the most realistic processes and cloud architectures to demonstrate the severity of the threat. ” The researchers deliberately used common cloud-based architecture, storage systems (e.g.,

Risk 120
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Closing the breach window, from data to action

IBM Big Data Hub

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. Some examples include AWS IAM Identity Center, AWS Control Tower, and AWS Cloud Trail.

Cloud 95