Recent reports indicate a sharp increase in AI‑generated malicious code and phishing campaigns that adapt in real time. Attackers are leveraging large language models to craft convincing social‑engineering messages, while automated vulnerability scanners powered by machine learning can discover exploits faster than before. This shift forces defenders to adopt AI‑assisted detection, behavioral analytics, and zero‑trust architectures to stay ahead. At the same time, the ethical debate around using similar models for defense grows louder. How are you adjusting your security strategies to cope with AI‑driven threats? Any practical safeguards or research directions you find promising?
Rise of AI-Driven Threats: How Machine Learning is Shaping Cybersecurity Landscape
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