Paper 4:Real Time AI-Driven Threat Detection with the Integration of Zero Trust Security Framework
Authors : Shreyanshi Srivastava, Anshika Prajapati, Mr. Mahesh kumar Tiwari ,Mr. Amit kumar Srivastava
Doi: https://doi.org/10.63920/tjths.44004
Abstract
This paper elucidate how the Artificial Intelligence with Zero Trust Security determine alert dramatically threat detection and response, this offering a robust security solution against cyber threats. The cooperation of continuous verification, context based authentication, and real-time threat analysis not only reduce risks but also enhances overall security posture. This introduce the use of DL and ML techniques such as ANN and CNN in threat detection that how they mitigate with real time threats. Cybersecurity with zero trust framework and artificial intelligence is an innovative technology in real time threat detection process and adaptive response system. The amalgamation of modern Artificial Intelligence features into zero trust system is forecast to create new opportunities for enhancing adaptive security. This includes automating processes like segmentation, detecting subtle deflections or threats and refining techniques to mitigate risks. Most importantly, it strengthens the principles of Zero Trust and addresses issues associated with minimal and rule based security solutions
