Analysing IT Patch Development with Generative AI
Keywords:
Generative AI, patch development, IT systems, AI-driven patchingAbstract
Large IT system software are very vulnerable and frequent need of periodic patches. Although traditional patch creation is sluggish and resource intensive in complicated and distributed systems. Generative AI model is able to automate the patch creation. Deep learning and NLP algorithms are able to generate patches for large code base and patch history. AI models can find vulnerabilities, generate safe fixes, and optimise huge IT patch distribution. This article aims to address the power of AI driven patching system, patch integration quality, system stability, and software security automation ethics.
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