CyberSecurity Insiders

DECEMBER 4, 2021

–( 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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Cybersecurity Artificial Intelligence Education Engineering 52

SecureWorld News

APRIL 17, 2022

Utilizing advances in artificial intelligence (AI) and machine learning (ML), cybersecurity technology is now able to provide services such as 24/7 monitoring and constant analysis in a way that is simply impractical for human cybersecurity staff. There are tasks such as penetration testing.

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SecureList

DECEMBER 11, 2023

However, as the influence of artificial intelligence extends far beyond linguistic accolades, a nuanced narrative emerges, encapsulating both the marvels and challenges of our AI-infused reality. For example, in our research , we encountered persistent hallucinations from an LLM when tasked with flagging suspicious phishing links.

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Cybersecurity Artificial Intelligence Technology Risk 94

eSecurity Planet

DECEMBER 3, 2021

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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Accountability Cybersecurity Penetration Testing InfoSec 134