Information Resilience in the Artificial Intelligence Era: A Global Scenario of Cybersecurity Strategies

Mandal, Subhadip, Chakraborty, Kanu, Patra, Swapan Kumar, Upadhyay, Navin and Kumari, Anisha Information Resilience in the Artificial Intelligence Era: A Global Scenario of Cybersecurity Strategies., 2025 . In 14th International CALIBER 2025 Sri Venkateswara University, Tirupati, Andhra Pradesh, November 17-19, 2025 Collaboration with INFLIBNET Centre, Gandhinagar, Gujarat, 14th International CALIBER 2025 Sri Venkateswara University, Tirupati, Andhra Pradesh, November 17-19, 2025. [Conference paper]

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English abstract

In the AI era, there is a constant push and pull between cyber attackers and defenders to create a resilient information system. Some popular big AI giants like Open AI, Google, Microsoft etc and many developed nations such as UK, USA, Singapore etc are working on Cyberattacks. This paper is a review of the policy statements adopted by selected governments and the subsequent policy measures taken by the big multinational corporations. This study adopts a qualitative and descriptive research methodology based on secondary data analysis. The approach is primarily documentary and policy review-based, aiming to explore how various national and international entities are addressing cybersecurity challenges in the context of growing Artificial Intelligence adoption. With this growing use, there is a major apprehension about the safety, security, integrity, and robustness of the information system. So, it is a matter of concern how the information system deals with this issue. This study highlights the impact of AI in modern information resilience systems and focusing on the way to enhance their ability to handle uncertainties, adversarial attacks, and data perturbations.

Item type: Conference paper
Keywords: Artificial Intelligence, Cyber Laws, Cybersecurity, Information Resilience
Subjects: A. Theoretical and general aspects of libraries and information.
B. Information use and sociology of information > BF. Information policy
Depositing user: Dr Swapan kumar Patra
Date deposited: 25 Feb 2026 18:00
Last modified: 25 Feb 2026 18:00
URI: http://hdl.handle.net/10760/47692

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