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3 Cybersecurity Technologies You Should Know

The Crazy Programmer

Cybersecurity is more critical than ever in today’s modern world, especially with news of ransomware attacks and other forms of malware on the rise. To keep your systems secure and your files out of the hands of cybercriminals takes an increasingly comprehensive knowledge of cybersecurity technology.

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Securing Azure Service Bus

Xebia

Security should be considered from the initial stages of designing a product rather than as an afterthought. Security requirements may vary depending on the use case; for instance, a banking solution would have different security needs compared to a solution for a local bakery. Initially, it was TLS 1.0,

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CVE-2024-0204: Fortra GoAnywhere MFT Authentication Bypass Vulnerability

Tenable

CVE Description CVSSv3 CVE-2024-0204 Fortra GoAnywhere MFT Authentication Bypass Vulnerability 9.8 Its discovery is credited to security researchers Mohammed Eldeeb and Islam R Alater. Successful exploitation would allow an attacker to bypass authentication to create new users, including a user with administrator privileges.

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Akeyless secures a cash infusion to help companies manage their passwords, certificates and keys

TechCrunch

Back in 2018, Refael Angel, a former security software engineer at Intuit, had an idea for a new approach to protect encryption keys — the random string of bits created to scramble and unscramble data — on the cloud. In software development, “secrets” refer to credentials like passwords and access tokens.

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Cybersecurity Snapshot: NIST’s Cybersecurity Framework Gets Major Update, as Advisories on APT29 and ALPHV Blackcat Get Rolled Out

Tenable

Check out what’s new in NIST’s makeover of its Cybersecurity Framework. Also, how to assess the cybersecurity capabilities of a generative AI LLM. 1 - NIST’s Cybersecurity Framework 2.0 1 - NIST’s Cybersecurity Framework 2.0 The Cybersecurity Framework at 10.and And the most prevalent malware in Q4. And much more!

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A secure approach to generative AI with AWS

AWS Machine Learning - AI

Because their data and model weights are incredibly valuable, customers require them to stay protected, secure, and private, whether that’s from their own administrator’s accounts, their customers, vulnerabilities in software running in their own environments, or even their cloud service provider from having access.

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With greater personalisation comes greater security

CIO

It can often feel as though trust and authenticity are in short supply these days. This has reinforced concerns around data privacy and security. In the midst of message and content overload, consumers demand personal, in the moment, experiences that feel safe and secure. It is all encrypted.

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