A recent analysis by Sygnia has revealed a significant shift in the landscape of cyber threats, where a single threat actor leveraged AI to compress the timeline of a cloud intrusion from weeks to just 72 hours. This report, titled 'Inside an AI-Assisted Cloud Attack: Familiar Techniques at Unfamiliar Speed', outlines how the attacker utilized artificial intelligence not to develop new malware or exploit zero-day vulnerabilities, but to enhance the speed and scale of their attack on an AWS environment. The attack was executed using well-known techniques targeting cloud infrastructure, with extortion as the end goal. The threat actor capitalized on gaps in secrets management, identity governance, deployment workflows, and cloud permissions. Access to an AWS account was initially gained through vulnerabilities in an internet-facing application. From there, the attacker employed AI-assisted workflows to perform four simultaneous tasks, exploiting the organization’s deficiencies in visibility, monitoring, identity controls, and incident preparedness. Avi Dayan, Sygnia’s VP of incident response, emphasized the unprecedented speed and volume of malicious activities achieved post-intrusion. He highlighted the growing challenge for cybersecurity defenders as AI technologies become more accessible, lowering the barrier for less sophisticated attackers to operate with increased efficiency. Sygnia’s findings suggest a need for organizations to reassess their security strategies to counteract the rising threat posed by AI-enabled attacks.