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Informative Article | Science and Technology | India | Volume 7 Issue 11, November 2018
Navigating Data Security Concerns with Next - Generation AI Tools: A Comprehensive Review
Abstract: In this comprehensive whitepaper, we delve into the critical realm of data security in the context of rapidly advancing artificial intelligence (AI) technologies. As AI continues to reshape industries and processes, the value and sheer volume of data generated underscore the need for stringent data security measures. The paper navigates through the evolution of AI and its implications, shedding light on the significance of differentiating data privacy from data security. Regulatory frameworks such as GDPR and CCPA are highlighted as fundamental legal and ethical data usage pillars. Addressing challenges in data security, the paper presents actionable strategies like robust data handling, adversarial training, and secure model deployment. Moreover, emphasizing proactive practices such as secure collaboration, employee training, and incident response planning, the paper aims to foster a culture of security awareness. Future trends like federated learning and homomorphic encryption hold promise in bolstering data security. In essence, this whitepaper provides invaluable insights and a roadmap to navigate the intricate landscape of data security in the AI era, promoting responsible adoption and proactive anticipation of future trends.
Keywords: Data Security, Artificial Intelligence (AI), Regulatory Compliance, Adversarial Training, Future Trends
Edition: Volume 7 Issue 11, November 2018,
Pages: 1966 - 1971