Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
Publication Date : 18/12/2024
Author(s) :
Volume/Issue :
Abstract :
Ensuring constant PCI DSS compliance is
essential but not easy when dealing with PCI DSS-sensitive
payment card information. This paper looks into XAI and
DNNs to examine their possibilities of implementing and
improving PCI DSS compliance check automation. XAI
makes a model explain itself, making it easy for compliance
officers to address non-compliance when identified by the
model. For their part, DNNs can sift through large amounts of
security data to look for anomalies, determine the
effectiveness of the access control measures, verify the
implementation of encryption for data, and monitor the
effectiveness of controls of vulnerabilities. Applying these
high-level AI methodologies can allow organizations to gain
better, even real-time, control over compliance, thus
significantly reducing the probabilities of security
infringements and enhancing data protection measures in
general. Not only does it build up compliance capabilities, but
it also provides scalable and preventive solutions in reaction
to the emerging threats in the cyber security domain
Author :
Sandeep Belidhe, Phani Monogya Katikireddi, Sandeep Kumar Dasa
No. of Downloads :
0