<ul><li>The rise of autonomous hacking, where AI systems launch, adapt, and execute cyberattacks independently, is becoming a reality.</li><li>Real-world use cases of autonomous hacking include automated reconnaissance, self-mutating malware, AI worms, and AI in IoT attacks.</li><li>The danger lies in the fact that autonomous AI attacks can infect thousands of machines in seconds, learn from failed attempts, and hide in plain sight.</li><li>To combat autonomous hacking, deploying AI for defense, using honeypots and deception technology, implementing patch management automation, and discussing AI ethics and policy are crucial.</li></ul>

The Rise of Autonomous Hacking: AI Attacks Without Hackers

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