Dangers of AI in cybersecurity you need to know about

This blog examines the growing use of AI in cybersecurity and emphasizes its disadvantages, including false positives and negatives, susceptibility to adversarial attacks, and the potential for weaponization in malware, phishing, deepfakes, and privilege escalation. It also warns of data privacy risks from conversational AI use (e.g., the reported Samsung leak), and highlights systemic challenges like bias, lack of transparency, cost, and the danger of overreliance on AI, urging organizations to balance AI adoption with human expertise and strong governance.