Tenable

JANUARY 5, 2024

1 - NIST categorizes cyberattacks against AI systems Are you involved with securing the artificial intelligence (AI) tools and systems your organization uses? National Institute of Standards and Technology (NIST) “ Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST.AI.100-2).”

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Artificial Inteligence Systems Review System Generative AI 70

Kaseya

OCTOBER 3, 2023

Endpoint detection and response (EDR) is among the latest breed of security software designed to keep emerging and sophisticated cyberthreats like ransomware at bay. Our blog provides all the information you need about EDR. How does an EDR stop ransomware and other threats of that kind? What are EDR capabilities?

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Malware Software Review Systems Review Technical Review 52

Tenable

NOVEMBER 25, 2022

Get the latest on the Hive RaaS threat; the importance of metrics and risk analysis; cloud security’s top threats; supply chain security advice for software buyers; and more! . 1 - Ransomware attackers pocket over $100M with Hive. Defending against Hive ransomware: It’s time to use the attackers’ tools ” (The Stack).

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Metrics Cloud Backup Software Review 52

Altexsoft

JUNE 2, 2020

This is where Artificial Intelligence (AI) comes in. AI provides insights that help companies understand threats. What Is Machine Learning and How Is it Used in Cybersecurity? Machine learning algorithms in cybersecurity can automatically detect and analyze security incidents. Threat hunting. Network security.

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Artificial Inteligence Examples Applications Machine Learning 93

Tenable

APRIL 19, 2024

1 - Multinational cyber agencies issue best practices for secure AI deployment Looking for best practices on how to securely deploy artificial intelligence (AI) systems? To get more details, read the CIS blog “ CIS Benchmarks April 2024 Update.” Dive into six things that are top of mind for the week ending April 19. and the U.S.

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Artificial Inteligence Trends Technical Advisors Analysis 73

Ivanti

APRIL 4, 2021

Several years back before the COVID-19 pandemic hit and the work-from-home shift took hold, we wrote a blog about how the mobile-centric zero trust framework removed the traditional perimeter security controls to protect the corporate enterprise network and all connected endpoints from cybercriminals.

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Policies Mobile Malware Firewall 68

Prisma Clud

DECEMBER 5, 2023

The rise of AI, machine learning and surging interest in generative AI have increased the volume of data that organizations store in the cloud, creating new risk vectors related to the models themselves. Multiple market forces have brought us to this moment. When there are so many components to secure, there’s a lot that can go wrong.

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Cloud Software Review Malware Analysis 52