Citation :

Vineela Komandala, 2025. "Data Privacy in the Age of Digital Transformation" ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 3, Issue 2: 37-46.

Abstract :

Data privacy has become increasingly important as we navigate the digital age. With businesses and individuals depending more than ever on digital technologies for communication, process optimization, and data storage, safeguarding personal information is more critical than ever. As organizations collect and manage vast amounts of sensitive data, they face growing challenges in adhering to privacy regulations, which vary across regions & industries. The threat of data breaches continues to rise, with cyberattacks becoming more sophisticated, making it essential for businesses to implement robust security measures. Technologies like artificial intelligence (AI) and cloud computing present new opportunities for efficiency and innovation but also introduce additional complexities in managing and securing data. AI’s ability to process and analyze large datasets can improve decision-making. Still, it raises concerns about how personal data is used and whether it’s protected against unauthorized access or misuse. On the other hand, cloud computing offers scalability and flexibility, allowing organizations to store vast amounts of data in remote locations. However, this reliance on third-party services introduces potential vulnerabilities and further complicates data protection efforts. To address these challenges, organizations must proactively approach data privacy, ensuring compliance with regulations while balancing the need for innovation and customer trust. Implementing strong encryption, regular security audits, and privacy-conscious data governance policies can help protect sensitive information. Furthermore, fostering transparency & giving users greater control over their data can enhance trust, which is essential for long-term business success. As technology evolves, organizations must remain agile and adaptive, integrating privacy by design into their digital transformation strategies to protect user privacy while enabling innovation.

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Keywords :

Data privacy, digital transformation, personal data, data protection, cybersecurity, compliance, artificial intelligence, cloud computing, data breaches, privacy regulations, privacy policies, data governance, data security, GDPR, data encryption, third-party vendors, risk management, secure data storage, consent management, data sovereignty, identity protection, data access controls, privacy by design, data anonymization, breach notification, data lifecycle, surveillance, data sharing, cloud security, privacy audit, IT infrastructure, secure data transmission, data integrity, data ownership.