Authors :
Mayank Bhadrasen
Volume/Issue :
Volume 8 - 2023, Issue 12 - December
Google Scholar :
http://tinyurl.com/4zrw4kmn
Scribd :
http://tinyurl.com/4ekhd8ye
DOI :
https://doi.org/10.5281/zenodo.10421548
Abstract :
In an era of unprecedented data generation
and digital asset proliferation, the protection of sensitive
information has become paramount. [1]Digital asset
systems serve as critical repositories for a wide range of
valuable data, including personal information, financial
records, and intellectual property. [2]However, these
systems face substantial security and privacy challenges
due to the ever-evolving threat landscape and the
complexity of managing vast amounts of data. Artificial
intelligence (AI) in the recent times has emerged as a
transformative force in data security, offering a powerful
toolkit to enhance data protection in digital asset
systems[3].
The following paper aims to comprehensively
explore the integration of AI tools and technology into
the domain of digital asset protection. It will then further
delve into the evolving role of Artificial Intelligence in
securing digital assets, outlining not just the key
contextual landscape of digital asset protection, but
further dissecting current challenges in digital asset
safeguarding, evaluating existing methodologies and
technologies, and scrutinizing the evolving role of AI in
addressing security concerns.
Subsequently, the role of ethical considerations will
be centre-staged, engaging in a discussion surrounding
the ethical implications, potential biases, and fairness
issues associated with AI-powered data protection,
alongside presenting case studies and practical
applications, offering real-world examples of
organizations successfully leveraging AI for digital asset
protection. Insights derived from these practical
implementations will intricately weave into the expected
effectiveness of AI solutions across diverse scenarios.
Lastly, a cohesive concluding argument will be
presented wherein the anticipated key findings and
insights, effectively reiterating the significance of AI in
enhancing data protection will be put forth. Concluding
remarks will offer recommendations for future research,
encapsulating the potential transformative impact of AI
on the future landscape of digital asset safeguarding.
Keywords :
Artificial Intelligence (AI), Data Protection, Digital Asset Systems, Data Governance, Data Privacy and Security.
In an era of unprecedented data generation
and digital asset proliferation, the protection of sensitive
information has become paramount. [1]Digital asset
systems serve as critical repositories for a wide range of
valuable data, including personal information, financial
records, and intellectual property. [2]However, these
systems face substantial security and privacy challenges
due to the ever-evolving threat landscape and the
complexity of managing vast amounts of data. Artificial
intelligence (AI) in the recent times has emerged as a
transformative force in data security, offering a powerful
toolkit to enhance data protection in digital asset
systems[3].
The following paper aims to comprehensively
explore the integration of AI tools and technology into
the domain of digital asset protection. It will then further
delve into the evolving role of Artificial Intelligence in
securing digital assets, outlining not just the key
contextual landscape of digital asset protection, but
further dissecting current challenges in digital asset
safeguarding, evaluating existing methodologies and
technologies, and scrutinizing the evolving role of AI in
addressing security concerns.
Subsequently, the role of ethical considerations will
be centre-staged, engaging in a discussion surrounding
the ethical implications, potential biases, and fairness
issues associated with AI-powered data protection,
alongside presenting case studies and practical
applications, offering real-world examples of
organizations successfully leveraging AI for digital asset
protection. Insights derived from these practical
implementations will intricately weave into the expected
effectiveness of AI solutions across diverse scenarios.
Lastly, a cohesive concluding argument will be
presented wherein the anticipated key findings and
insights, effectively reiterating the significance of AI in
enhancing data protection will be put forth. Concluding
remarks will offer recommendations for future research,
encapsulating the potential transformative impact of AI
on the future landscape of digital asset safeguarding.
Keywords :
Artificial Intelligence (AI), Data Protection, Digital Asset Systems, Data Governance, Data Privacy and Security.
