Summary
This whitepaper discusses the dual role of artificial intelligence (AI) in cybersecurity, both as a tool for attackers and as a means of defense. It outlines how large language models (LLMs) have transformed the landscape, enabling adversaries to automate and enhance their attack strategies. The document details various methods employed by threat actors, such as automating reconnaissance, creating evasive malware, and executing sophisticated social engineering attacks. It also highlights the vulnerabilities of AI systems themselves, including data poisoning and adversarial examples, which can be exploited by attackers. The paper emphasizes the importance of frameworks like MITRE ATLAS for defending AI assets and suggests defensive strategies such as adversarial training, continuous monitoring, and explainable AI. Furthermore, it presents the potential for AI technologies to bolster defenses against AI-powered attacks, showcasing how organizations can leverage these advancements to improve their cybersecurity posture.
