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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. And the most prevalent malware in Q4. 1 - NIST’s Cybersecurity Framework 2.0 1 - NIST’s Cybersecurity Framework 2.0 The Cybersecurity Framework at 10.and

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Why you must extend Zero Trust to public cloud workloads

CIO

However, it has also introduced new security challenges, specifically related to cloud infrastructure and connectivity between workloads as organizations have limited control over those connectivity and communications. 3 We have seen an increase of 15% in cloud security breaches as compared to last year. 8 Complexity.

Cloud 334
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Even North Korea has an antivirus program—but it’s used for spying

The Parallax

Malware and antivirus software usually go together like tacos and pickles. Researchers announced on May 1 that when they inspected the ingredients of the North Korean antivirus software for Windows computers, they found a mix of spyware and old code stolen from an antivirus vendor. READ MORE ON SECURITY AND GEOPOLITICS.

Spyware 187
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Learn the Language of Vulnerability Assessment: Key Security Terms You Should Know

Tenable

When you're new to vulnerability assessment (VA) – or any other area of cybersecurity, for that matter – some aspects of the process might seem unfamiliar or confusing. This is particularly true of the jargon; cybersecurity and technology as a whole have a long list of specialized terminology. . Here’s a brief introduction.

Malware 89
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Introducing Cloud NGFW for Azure — On-Prem to Azure, Seamlessly Secure

Palo Alto Networks

But, when it comes to keeping their cloud deployments secure, they often tell us they find it hard to combine superior security and easy management with the ability to secure applications consistently across hybrid and multicloud environments. Every day this technology blocks nearly 5 billion events, analyzes 3.5

Azure 107
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AI Applications in Cybersecurity with Real-Life Examples

Altexsoft

These insights can help reduce response times and make companies compliant with security best practices. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning algorithms in cybersecurity can automatically detect and analyze security incidents. The Impact of AI on Cybersecurity.

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The Future of Security

O'Reilly Media - Ideas

The future of cybersecurity is being shaped by the need for companies to secure their networks, data, devices, and identities. This includes adopting security frameworks like zero trust, which will help companies secure internal information systems and data in the cloud. Zero Trust Security.

Mobile 99