Advanced-Data Compliance: The Role of AI and ML in Modern Security Frameworks

Authors

  • Vishwanadham Mandala Data Lead, AAI, Indiana University, Indiana, USA Author

DOI:

https://doi.org/10.70179/etk3gx86

Keywords:

Data Compliance,AI in Cybersecurity,Machine Learning Security,Cybersecurity Frameworks,Regulatory Compliance,Data Protection,AI for Data Security,ML Algorithms in Cybersecurity,Privacy Regulations,Automated Compliance,Threat Detection AI,Risk Management AI,Compliance Automation,Data Privacy Technologies,Cybersecurity Automation,AI-Driven Security Solutions,GDPR Compliance,Machine Learning for Risk Assessment,Security Analytics,Predictive Security Models.

Abstract

This work describes data compliance complexities and the preventive architecture principles required to identify and thwart
associated information breaches. The fundamental quest in the elaboration of data compliance mechanisms is not only to identify
those fires but to circumvent or contain the wildfires before and after they erupt. Machine learning (ML) and artificial
intelligence (AI) technologies that augment cybersecurity technologies can play a major role here by learning, simulating, and
analyzing adverse information scenario potentials. Various architecture patterns emphasizing preventive cautionary methods and
practices related to data compliance at facilities entrusted with sensitive information are prev

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Published

2024-09-05

Issue

Vol. 9 No. 9 (2024): September 2024

Section

Articles

How to Cite

Advanced-Data Compliance: The Role of AI and ML in Modern Security Frameworks. (2024). Global Research Development(GRD) ISSN: 2455-5703, 9(9), 1-8. https://doi.org/10.70179/etk3gx86