Impacts and Risk of Generative AI Technology on Cyber Defense

Authors: Subash Neupane, Ivan A. Fernandez, Sudip Mittal, Shahram Rahimi

Published: 2023-06-22 16:51:41+00:00

AI Summary

This paper analyzes the risks of generative AI (GenAI) in cybersecurity, focusing on its misuse in each phase of the Cyber Kill Chain (CKC). It proposes leveraging the CKC framework and GenAI-enabled defense strategies, including detection, deception, and adversarial training, to mitigate these risks.

Abstract

Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of autonomously producing highly realistic content in various domains, such as text, images, audio, and videos. With its potential for positive applications in creative arts, content generation, virtual assistants, and data synthesis, GenAI has garnered significant attention and adoption. However, the increasing adoption of GenAI raises concerns about its potential misuse for crafting convincing phishing emails, generating disinformation through deepfake videos, and spreading misinformation via authentic-looking social media posts, posing a new set of challenges and risks in the realm of cybersecurity. To combat the threats posed by GenAI, we propose leveraging the Cyber Kill Chain (CKC) to understand the lifecycle of cyberattacks, as a foundational model for cyber defense. This paper aims to provide a comprehensive analysis of the risk areas introduced by the offensive use of GenAI techniques in each phase of the CKC framework. We also analyze the strategies employed by threat actors and examine their utilization throughout different phases of the CKC, highlighting the implications for cyber defense. Additionally, we propose GenAI-enabled defense strategies that are both attack-aware and adaptive. These strategies encompass various techniques such as detection, deception, and adversarial training, among others, aiming to effectively mitigate the risks posed by GenAI-induced cyber threats.