Remove Architecture Remove Big data Remove Risk
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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. The infected payload could be injected in Big Data files used to train AI. They tried to use the most realistic processes and cloud architectures to demonstrate the severity of the threat.

Risk 122
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The business case for security strategy and architecture

Notice Bored

c omplementing and supporting various other business strategies and architectures such as cloud first, artificial intelligence, IIoT, big data, new products, new markets.); Strategy is perhaps the most difficult and risky part of information risk and security, as it is for other aspects of enterprise management.

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SHARED INTEL Q&A: Everything the Cisco-Splunk merger tells us about the rise of SIEMs

The Last Watchdog

Combining a security Information tool with a security event tool made it easier to correlate alerts generated by security products, like firewalls and IDS, normalize it, and then analyze it to identify potential risks. We use machine learning models on open choice big data lakes to detect unknown threats early in the attack chain.

Marketing 306
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SHARING INTEL: Here’s why it has become so vital to prioritize the security-proofing of APIs

The Last Watchdog

Yet, API security risks haven’t gotten the attention they deserve. This summer Gartner designated API security as a stand-alone pillar in its security reference architecture, not just an add-on component to other systems. Salt Security is taking a big data and automation approach to this monumental challenge, Isbitski told me.

Big data 240
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Open XDR vs. SIEM

CyberSecurity Insiders

Matching Resources and Business Risk with the Right Solution. So, Open XDR is defined the same as Gartner’s XDR definition except that it ends with “all existing security components, delivered via an open architecture”. Architectures Compared. is a very tall order in today’s cybersecurity environment. That’s because it is.

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Cybersecurity Predictions for 2023: My Reflections

Jane Frankland

As such there will be pressure to simplify technologies, re-architecture environments, and ditch single point products which become costly and as a result can negatively impact the planet. By swapping implicit trust for identity-and context-based risk appropriate trust (users, devices, and services), companies will realise greater safeguards.

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MY TAKE: Six-figure GDPR privacy fines reinforce business case for advanced SIEM, UEBA tools

The Last Watchdog

Different flavors of cloud architectures, sprawling IoT systems and the coming wide deployment of 5G networks add up to not just Big Data, but Very Big Data. We present data in a way that makes sense, and then the analyst can go and do something very quickly to reduce that risk of something really bad going on.”

Big data 153