Originally published on WordPress on September 27, 2025. When AI systems fail in production, the failure is often blamed on data quality, model drift, or algorithmic limitations. In practice, many of the most damaging failures originate much earlier and much lower in the stack.
Source: [Dev.to](https://dev.to/josemariaosuorah/security-foundations-behind-reliable-ai-systems-5413)