TEJAS Journal of Technologies and Humanitarian Science

Anshika Sahu
Student, Department of Computer Science, National Post Graduate College, Lucknow, India

Author

Priyansh Katiyar
Student, Department of Computer Science, National Post Graduate College, Lucknow, India

Author

Dr. Shalini Lamba
Head of Department, Computer Science, National Post Graduate College, Lucknow, India

Author

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Abstract:

Cloud technology now sits at the centre of modern business computer systems, mostly because it lets companies get hold of computing tools with very little effort. As online work keeps growing bigger and cloud use spreads further, businesses run into bigger problems in handling their tools well, keeping strong safety measures, and making sure rules stay the same across all their cloud spaces. In this work, AIMCOS, an AI Model for Cloud Optimisation and Security, is designed as an applied artificial intelligence-based framework that combines intelligent resource management, early detection of security risks, and automated policy enforcement within a single adaptable system. AIMCOS keeps tabs on cloud operations day and night, picks up patterns from how users actually work, and guides smart choices so staff don't need to intervene constantly. The system slots easily into all kinds of cloud platforms, helping companies manage their varied setups without any hiccups or inconsistencies. Real tests make it obvious how this approach lifts operational efficiency, sharpens security responsiveness, and trims administrative effort when you stack it against the old way of handling things manually. On top of that, it shifts gears fast when work demands change suddenly and helps bring down costs over months of use. Bottom line, AIMCOS shows a clear practical way to build cloud systems that run efficiently, stay secure, and get easier to manage as business needs keep growing steadily.

References

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