Researchers have demonstrated the capability of artificial intelligence to autonomously compromise cloud systems with limited human intervention. A proof-of-concept, named Zealot, developed by Palo Alto Networks, has shown that multi-agent penetration testing can effectively conduct reconnaissance, exploit vulnerabilities, and exfiltrate data. This autonomous hacking capability raises concerns about the potential for malicious actors to leverage similar technologies to carry out attacks with minimal oversight. The development of Zealot highlights the evolving threat landscape and the need for organizations to reassess their cloud security posture. As cloud systems become increasingly complex, the risk of autonomous hacking attacks also grows, making it essential for security teams to stay vigilant and adapt their defenses accordingly1. This newfound capability matters to security practitioners because it underscores the importance of proactive cloud security measures to prevent and detect potential breaches.