AI-Enhanced Deception Technologies for Cyber Defense: A Cognitive Load Framework for Professional Attack Surface Management
Keywords:
AI-enhanced deception, cyber defense, cognitive load, attack surface, threat detection, machine learningAbstract
The paper is an investigation into how AI-enabled deception technologies can be used in cyber defense and how to build a cognitive load framework to carry out professional management of attack surfaces. The study will focus on the issues that people in cybersecurity are dealing with when they are handling complex and changing cyber threats. This is done by introducing the use of deception tactics alongside AI to see how these technologies can shorten cognitive load and make better decisions when confronted with a defense operation. Methodology involves the use of case studies, real life examples and evaluation of the existing AI-based deception models. Some important results are that AI-supported deception measures, including dynamic honeypots and decoy systems, can effectively distract the attackers and the load placed on the security responders is minimized..
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