Show HN: I forced Apple to admit a "Product Issue" using AI and CIA principles (medium.com)

A tech investigator revealed a critical flaw in Apple's iCloud synchronization engine, which resulted in permanent database corruption and a Denial of Service (DoS) issue across devices. This investigation, initiated by a warning on a newly set-up iPhone, led to the discovery that authorized operations were not safeguarding data integrity. The pivotal finding was that databases across synced devices were consistently reduced to a problematic size of 27.2KB, causing operational failures that extended to other devices. Significantly, the investigator employed AI, specifically a model named Gemini, to challenge Apple’s initial dismissal of the problem. Through a rigorous analysis rooted in the CIA triad (Confidentiality, Integrity, Availability), the investigator demonstrated how the flaw conflicted with fundamental data integrity principles. After 120 hours of forensic work and a conference of ideas with the AI, Apple eventually recognized the issue as a “Product Issue.” This case exemplifies how individual architects can harness AI to enforce accountability among tech giants, highlighting the evolving role of AI as a critical partner in technical investigations.