Artificial Intelligence & Machine Learning , Black Hat , Events

ISMG Editors: Social Engineering, Election Defense in AI Era

Also: Dangers of Malicious Code Embedded in ML Models; Is Ransomware in Decline?
From left: Aseem Jakhar, Tom Field and Michael Novinson

At Black Hat 2024, Information Security Media Group editors discussed how AI amplifies social engineering threats, the dangers of malicious code embedded in machine learning models, and the ongoing debate about ransomware's impact and decline.

See Also: OnDemand | Endpoint Security: Defending Today's Workforce Against Cyber Threats

The panelists - Tom Field, senior vice president, editorial; Michael Novinson, managing editor, business; and Aseem Jakhar, co-founder, EXPLIoT - discussed:

  • How AI-driven deepfakes can manipulate individuals across various platforms and fuel the spread of election-related misinformation;
  • Security risks introduced by AI across various platforms, including machine learning models that can execute harmful code without users' knowledge;
  • The extent to which ransomware attacks have evolved over the past five years and whether or not ransomware is in decline outside the healthcare sector.

About the Author

Michael Novinson

Michael Novinson

Managing Editor, Business, ISMG

Novinson is responsible for covering the vendor and technology landscape. Prior to joining ISMG, he spent four and a half years covering all the major cybersecurity vendors at CRN, with a focus on their programs and offerings for IT service providers. He was recognized for his breaking news coverage of the August 2019 coordinated ransomware attack against local governments in Texas as well as for his continued reporting around the SolarWinds hack in late 2020 and early 2021.




Around the Network

Our website uses cookies. Cookies enable us to provide the best experience possible and help us understand how visitors use our website. By browsing govinfosecurity.com, you agree to our use of cookies.