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Social Engineering, Election Defense in AI Era

Artificial Intelligence & Machine Learning
,
Black Hat
,
Events

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: The SIEM Selection Roadmap: Five Features That Define Next-Gen Cybersecurity

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.




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