🛡 The Impact of LLMs on Software Security in 2025–2026
A report from the Internet Security Research Group shows that by the end of 2026, large-scale projects could reduce the number of vulnerabilities by 95% by using neural networks for code auditing and remediation. At the same time, Open Source projects may become easy targets for automated attacks.
🌍 LLMs are radically accelerating both the discovery and exploitation of vulnerabilities. The emergence of "N-day" attacks—where exploits are created almost instantly after a patch is released using LLMs and binary diffing—requires developers to implement extreme automation in release cycles.
👤 Software security is now directly dependent on computational power budgets. Developers are recommended to integrate LLM-based auditing into pre-commit CI processes and accelerate migration to memory-safe languages (e.g., Rust).
Source 1: https://www.abetterinternet.org/post/vulns-and-llms/