Remove Artificial Intelligence Remove InfoSec Remove Penetration Testing Remove Social Engineering
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AI in Cybersecurity: How to Cut Through the Overhype and Maximize the Potential

CyberSecurity Insiders

–( BUSINESS WIRE )–Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are often applied in cybersecurity, but their applications may not always work as intended. The paper explores those areas as well as malicious uses of ML and DL, specifically in social engineering and phishing.

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From a tech explosion to accidental cyberattacks, researchers offer a glimpse into 2030

SC Magazine

Enter Project 2030, a collaboration between Oxford Visiting Researcher Victoria Baines and Trend Micro Vice President of Security Research Rik Ferguson, which uses a mixture of survey data and forward-thinking understanding of technology to predict the infosec concerns a decade from now. AI could impact more than just social engineering.

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Top Cybersecurity Accounts to Follow on Twitter

eSecurity Planet

How to screen for natural infosec talent: Ask for a worst case scenario for any common situation. Through tenures at Citrix, HP, and Bugcrowd, Jason Haddix offers his expertise in the areas of penetration testing , web application testing, static analysis, and more. — Jack Daniel (@jack_daniel) October 10, 2018.

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Top Breach and Attack Simulation (BAS) Vendors

eSecurity Planet

Breach and attack simulation (BAS) is a relatively new IT security technology that can automatically spot vulnerabilities in an organization’s cyber defenses, akin to continuous, automated penetration testing. DXC Technology has over 40 years of infosec experience, most of which as HPE’s Enterprise Services. Penetration Testing.