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Leopard Spots and Zebra Stripes: Big Data and Identity Management

Thales Cloud Protection & Licensing

In this age of big data, the concept is fitting, because this kind of information is increasingly being used to identify individuals and even machines. In the following, I focus on the analytics component, how it is increasingly used across enterprises, and why it is important to protect big data. Big Data Analytics.

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It’s time to think twice about retail loyalty programs

Thales Cloud Protection & Licensing

As I was starting to write this blog, yet another retail program data breach occurred, for Marriott’s Starwood loyalty program. In this case, it looks as though the attackers had been on the Starwood network for somewhere around three years, mining out their reservations database (keep in mind that Marriott only acquired Starwood in 2016 ).

Retail 66
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Federal Agency Data is Under Siege

Thales Cloud Protection & Licensing

Endpoint and mobile solutions are seeing the biggest spending increase (even though they’re rated at the bottom in terms of effectiveness) and data-at-rest security is seeing the lowest spending increase (even though it’s cited as highly effective). A basic security maxim is that those who control the keys control access to the data.

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Application modernization overview

IBM Big Data Hub

While the above is for application decomposition/design, event-storming needs process maps and this is where Generative AI assists in contextualizing and mapping extracts from process mining tools. Generative AI also helps generate use cases based on code insights and functional mapping.

Cloud 100
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The three main types of cryptography

IBM Big Data Hub

Most cryptosystems begin with an unencrypted message known as plaintext, which is then encrypted into an indecipherable code known as ciphertext using one or more encryption keys. Non-repudiation: The creator/sender of encrypted information cannot deny their intention to send the information. are kept secure.

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The three main types of cryptography

IBM Big Data Hub

Most cryptosystems begin with an unencrypted message known as plaintext, which is then encrypted into an indecipherable code known as ciphertext using one or more encryption keys. Non-repudiation: The creator/sender of encrypted information cannot deny their intention to send the information. are kept secure.

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Security Considerations for Data Lakes

eSecurity Planet

Essentially, we are securing an app at scale with enormous requirements for stored data, incoming data, data interactions, and network connections. Given the importance of “Big Data” analytics and applications to a company’s financial performance, securing data lakes is a critical priority for security teams.

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