Machine Learning Driven Social Engineering

Charles Herring 5 November 2023
Machine Learning in Social Engineering
Given at the 10th Annual Chicago Hacking Conference on 11/6/23. Machine learning (ML) is arguably the most potent advancement in technology since atomic fission with similar benefit and risk extremes. The outcome driven nature of machine learning allows computers to rapidly test theories to find pathways to support specific goals. These approaches applied to social engineering can be used to manipulate human factors for purposes including cybersecurity breach. This session will cover the philosophies, strategies and tactics used to accomplish a successful campaign to recruit human assets to a cause. Factors to mitigate risk in these advanced social engineering attacks will also be examined.

GrrCON 2023 - Deterring Cybercrime via a Global CyberGrid

Charles Herring 27 September 2023
GrrCON

Abstract

Detecting, catching and successfully prosecuting cybercrime requires collaboration across private sector, law enforcement, insurance companies and national security agencies. In this session, approaches to collect, analyze, store and share digital evidence will be examined. Methods of safely transmitting data between private sector and law enforcement will be discussed. Demonstration of workflows between investigators, law enforcement, prosecutors and insurance adjusters will be covered. 

I also reference this 2021 DarkReading Article: Handcuffs over AI.

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