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Why you must extend Zero Trust to public cloud workloads

CIO

Today, many organizations are embracing the power of the public cloud by shifting their workloads to them. A recent study shows that 98% of IT leaders 1 have adopted a public cloud infrastructure. It is estimated by the end of 2023, 31% of organizations expect to run 75% of their workloads 2 in the cloud. 8 Complexity.

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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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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.

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Why Is It Necessary to Run Cybersecurity Evaluation Exercises?

Altexsoft

The rapidly growing volume and sophistication of attacks entail the need for greater preparedness, especially through regular security exercises. Here’s a question related to the field of security: Why do military organizations ceaselessly conduct combat exercises or drills? Security validation is necessary for many compelling reasons.

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Breaking Down the NASCIO Top 10 for 2023

Palo Alto Networks

It should come as no surprise that cybersecurity is, once again, priority #1 for state CIOs. Perhaps it’s because none of the other initiatives on the list (not even hybrid work, legacy modernization or cloud adoption) can succeed without a solid cybersecurity foundation. And, they’re innovating faster than ever before.

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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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What is threat detection and response?

Lacework

Threat detection and response, commonly abbreviated to TDR, is the process of identifying cyber attacks that are intended to cause harm in an organization’s environment — either on-premises or in the cloud. Security teams need better visibility and integrated threat intelligence, as well as a structured approach to reduce attacker dwell time.