CIO

MAY 24, 2023

Along with the promise is the peril of AI being used to cause harm by launching more efficient malware, creating sophisticated deepfakes, or by unintentionally disclosing code or trade secrets. Learn more about AI, security, and other pressing infosec issues at CSO’s Future of Cybersecurity Summit , a virtual event taking place June 8.

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Malware Generative AI Guidelines Machine Learning 130

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

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Machine Learning Artificial Inteligence CTO Malware 363

Palo Alto Networks

JUNE 25, 2020

Let’s start with a quick overview of Zero Trust: As described by Palo Alto Networks CTO Nir Zuk , “Zero Trust is an end-to-end cybersecurity strategy that spans the infrastructure. You should look for tools that apply machine learning to endpoint data to increase detection accuracy. How Cortex XDR Enables Zero Trust.

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Strategy Malware Machine Learning Artificial Inteligence 98

CTOvision

FEBRUARY 25, 2014

Gerhard Eschelbeck, Chief Technology Officer and Senior Vice President, Sophos. Cylance PROTECT takes a mathematical approach to malware identification, utilizing patent-pending machine learning techniques instead of signatures and sandboxes. CTO Cyber Security DoD and IC George Hoyem RSA RSA Conference'

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Conference CTO Analytics Innovation 109

Prisma Clud

JUNE 20, 2023

That number speaks for itself, showcasing the increasing reliance on the public cloud as the infrastructure of choice. As the CTO of Prisma Cloud, I'm thrilled to share our insights and the learnings gained from witnessing the rise of cloud-native technologies and the rapid adoption of the public cloud.

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Cloud Development Team Review Serverless Linux 105

Tenable

DECEMBER 22, 2023

Yes, cyberattackers quickly leveraged GenAI for malicious purposes, such as to craft better phishing messages , build smarter malware and quickly create and spread misinformation. To prevent this, you need visibility into your cloud's identity infrastructure,” he wrote.

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Artificial Inteligence Technical Review Cloud Artificial Intelligence 76

CTOvision

JULY 30, 2016

Attackers use automation and can launch sophisticated attacks at very low cost by rotating and reusing undetected infrastructure. RiskIQ has provided defenders with access to Internet datasets, advanced analytics and machine learning to stay one step ahead. Bob Gourley. Phishing, spear phishing and whaling. Email abuse.

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Internet Malware Machine Learning Artificial Inteligence 68