Artificial intelligence now sits at the foundation of modern software development and digital services. It writes code, automates workflows, manages integration layers, supports system administration, and increasingly operates as an autonomous component inside production environments. But as AI becomes woven into the core of technical architectures, a new class of vulnerabilities is emerging. These failures do not come from bugs or misconfigurations. They stem from how models interpret context, resolve contradictions, infer trust, and act with delegated authority.

We are not anticipating fragility. We are encountering fragility that already exists.