Navigating Privacy and Security in an AI-Driven World
• Advancing privacy through AI-driven antidetect systems that analyze patterns and adapt to evade corporate tracking • Risks include automating phishing attacks, compromising fraud systems, and forming cyber-armies via scalable AI • Steps to bolster security advanced detection, threat intelligence sharing, ethical AI guidelines, user education • Regulation, oversight needed around developing/using AI in cybersecurity to prevent abuse • Universal security requires audits, adaptation, planning; ethical AI and collaboration are paramount