AI systems are currently vulnerable to simple social engineering because they prioritize helpfulness over wisdom, leading to real-world account takeovers. A central tension persists between those who view these security failures as 'young' agentic behavior that can be trained away and those who argue that AI lacks an inherent 'street sense' or gut instinct required for secure judgment. Whether this represents a qualitatively new threat or an evolution of existing identity exploitation remains a core point of debate among security practitioners.

The evidence suggests that while AI-driven threats are increasingly adaptive, they are being fed by the same old-school identity hygiene failures that have plagued organizations for decades. Watch this video if you want to understand the specific mechanical intersection of agentic AI, identity lifecycle management, and why 'least privilege' is now a mandatory standard for software agents; otherwise, the tactical breakdown of these failures is standard for modern security discourse.