The Register argues AI systems must be treated as code

The Register’s AI and ML page led with an analysis arguing that AI is code and cannot simply be prompted into reliable behavior. The story uses recent software-supply-chain and agent failures to make the case that AI systems need the same engineering discipline, testing, dependency control, and defensive assumptions as other production software. It is a useful catch-up item because it connects several isolated security stories in the feed into a broader operational lesson for AI deployment.

Key details: Published June 14, 2026, The Register framed AI reliability as a software-engineering problem, The analysis ties agent behavior to dependency and input-safety failures, It argues prompts alone are not an adequate production control.

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