EVALUATING THE EFFECTIVENESS OF AI-POWERED CYBERSECURITY MEASURES IN INDIAN ORGANIZATIONS: A COMPARATIVE STUDY

AUTHOR – ANOUSHKA SINGH, STUDENT AT AMITY UNIVERSITY LUCKNOW

BEST CITATION – ANOUSHKA SINGH, EVALUATING THE EFFECTIVENESS OF AI-POWERED CYBERSECURITY MEASURES IN INDIAN ORGANIZATIONS: A COMPARATIVE STUDY, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 4 (3) OF 2024, PG. 93-100, APIS – 3920 – 0001 & ISSN – 2583-2344.

ABSTRACT

The fast-changing digital ecosystem makes cybersecurity a critical challenge for firms worldwide, including India. AI-enabled cybersecurity measures in Indian businesses are compared across banking, healthcare, and IT industries. To investigate how AI influences threat detection, reaction times, and security posture, the study uses quantitative and qualitative methods such surveys, cybersecurity professional interviews, and secondary data analysis. AI-driven solutions reduce cyberattacks in banking and IT. Legacy system interoperability and high installation costs have prevented healthcare from effectively utilising AI. The research discusses how AI could transform cybersecurity in India and how to make these technologies more accessible and effective. The report’s narrow focus on larger organisations is criticised, and recommendations are made to study AI’s role in smaller enterprises and industries that have not completely embraced digital transformation. AI-driven cybersecurity solutions need greater investment and legislation in India, according to research.

Keywords: AI-powered cybersecurity, Indian organizations, threat detection, banking sector, healthcare sector, IT sector, cyber threats, cybersecurity effectiveness, digital security, AI integration.