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The Role of AI in Strengthening Data Privacy in Critical Industries

Author(s) Mahesh Mokale
Country United States
Abstract In an era where digital transformation is rapidly reshaping industries, data privacy has emerged as a cornerstone of trust and security. Critical sectors such as healthcare, finance, and government manage vast volumes of sensitive information, necessitating robust mechanisms to safeguard against unauthorized access, cyber threats, and regulatory breaches. The rise of artificial intelligence (AI) presents a paradigm shift in how data privacy is enforced, introducing advanced security solutions while also posing new ethical and technical challenges. This white paper delves into AI’s role in reinforcing data privacy, focusing on key areas such as AI-driven encryption, real-time anomaly detection, predictive analytics, and compliance automation. AI’s ability to analyze vast datasets, detect threats proactively, and enforce policy-driven security measures allows industries to move beyond traditional cybersecurity frameworks toward adaptive and intelligent data protection strategies. We examine how AI enhances cryptographic security, automates risk mitigation processes, and integrates with emerging technologies such as blockchain for decentralized privacy management. Furthermore, AI’s capability to monitor and enforce compliance with regulations like the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA) provides organizations with a proactive approach to data governance. While AI offers substantial benefits in safeguarding sensitive information, its implementation requires addressing critical concerns such as algorithmic bias, transparency, explainability, and the potential for adversarial attacks. This paper provides a comprehensive review of AI’s impact on data privacy before 2020, drawing from established academic and industry studies. By exploring real-world use cases and ethical implications, we present a balanced perspective on how AI can be leveraged effectively to create a secure digital environment for critical industries.
Keywords AI, Machine Learning, Encryption, Blockchain, Quantum-Resistant Encryption, Federated Learning, Differential Privacy, Anonymization, Threat Intelligence, Adversarial Attacks, Predictive Analytics, Data Governance, Cybersecurity, Risk Mitigation, Smart Contracts, Compliance Automation, Regulatory Compliance, Explainability, Transparency, Real-Time Monitoring
Field Engineering
Published In Volume 13, Issue 1, January-March 2022
Published On 2022-02-02
Cite This The Role of AI in Strengthening Data Privacy in Critical Industries - Mahesh Mokale - IJSAT Volume 13, Issue 1, January-March 2022. DOI 10.71097/IJSAT.v13.i1.2806
DOI https://doi.org/10.71097/IJSAT.v13.i1.2806
Short DOI https://doi.org/g899fr
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