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# AI-generated software is forcing yet another platform rethink

**[The New Stack](https://daily.dev/sources/newstack)** · [@jkriggins](https://daily.dev/jkriggins) · 7 min read · 0 upvotes · 0 comments

## Summary

AI-generated code is outpacing security controls, and platform teams are struggling to keep up. At PlatformCon London, security experts highlighted that while nearly all engineers use AI to write code, almost none feel confident in their security posture around it. Key concerns include shadow AI (non-developers building insecure agentic tools), the need for AI bills of materials (AI-BOMs) to track non-deterministic components like model weights and third-party APIs, and the explosion of CVEs (48,185 in 2025 alone) with a mean patch time of 55 days. Experts advocate for runtime shields based on eBPF as a stopgap against n-day threats, and argue that platforms must be rebuilt to be leaner, harder, and instantly patchable — moving beyond 20-year-old security processes.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/ai-code-security-platforms>

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---

Tags: [#security](https://daily.dev/tags/security), [#linux](https://daily.dev/tags/linux), [#ai-coding](https://daily.dev/tags/ai-coding), [#platform-engineering](https://daily.dev/tags/platform-engineering)

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