Artificial Intelligence in Cybersecurity for Risk Assessment and Transparent Threat Detection Frameworks
K. Saravanan, Shantha Visalakshi U, Vamsi Krishna, Krishna Kumar L
Indexed In: google scholar
Release Date: 04/03/2025 | Copyright:©2025 | Pages: 549
DOI: 10.71443/9789349552029
ISBN10: 9349552027 | ISBN13: 9789349552029
AI-driven cybersecurity systems leverage machine learning and deep learning to analyze data for identifying security threats. They assess risks by detecting vulnerabilities in systems and predicting potential breaches or attacks. AI-based models detect anomalies and suspicious behaviors, offering real-time threat detection, reducing human error, and speeding up responses. Transparent threat detection frameworks powered by AI provide clarity into the decision-making process, improving trust in automated systems. This transparency helps organizations understand how risks are assessed and threats are detected. By continuously learning and adapting, AI improves threat mitigation, offering a more efficient and proactive cybersecurity approach in dynamic environments.
Artificial Intelligence (AI) enhances cybersecurity by automating risk assessment and improving threat detection. AI algorithms analyze large datasets to recognize patterns, predict potential risks, and identify anomalies such as unauthorized access or malware. These AI-driven systems enable faster, more accurate threat detection in real-time, reducing response time and minimizing damage. By supporting transparent threat detection frameworks, AI ensures accountability in decision-making, making the process interpretable and trustworthy. This empowers organizations to proactively manage security risks and improve their cybersecurity posture, adapting to evolving threats with increased efficiency and reduced reliance on human intervention.
Mr.K. Saravanan an accomplished Assistant Professor in the department of Information Technology at K.S.Rangasamy College of Technology, Tiruchengode, is a dedicated educator and technologist. With a zeal for fostering knowledge, he navigates the dynamic intersection of academic and Technology with finesses. Saravanan’s Academic Journey is rooted in a Strong foundation, having earned his advanced degree in B.Tech Information Technology and ME Computer Science and Engineering. Currently Pursing Docter of Philosophy in Clou Computing domain inn Anna University Chennai. His expertise extends across diverse realms, from software development to emerging technologies, firing students as comprehensive understanding of the IT Landscape. He has consistently pushed the boundaries of knowledge, exploring cutting-edge trends in IT and contributing valuable insights to scholarly discourse. His multifaceted journey as an educator, researcher community contributor encapsulates a commitment to excellence, inspiring both colleagues and student alike in the pursuit of knowledge and technological advancement.
Dr Mrs Shantha Visalakshi U is working as Associate Professor in MCA Department at Ethiraj College for Women (Autonomous), Chennai, India and completed Ph.D in Bharathiar University in the year 2018, She received her M.Phil degree from Periyar University in the year 2007, MCA degree from University of Madras in the year 2003. Her area interests include Multi Agent Based Systems, Cloud Data Governance and Artificial Intelligence. She has been invited as a Resource person for various other meets and forums like AYUSH, Government of India, Knowledge Buffer and all leading Universities and Colleges.
She has published 20 research papers. She has been the Technical Advisory Committee Member and Reviewer to various International Journals and Conferences. Also, she has taken roles as Reviewer, SME - Subject Matter Expert and TCM - Technical Committee Member to International Conferences and Journals. To highlight this, She has been a part of ASLAP - AICTE Student Learning and Assessment Project with a grant of Rs. 72,000/-. She got Shortlisted and Qualified for Global Teacher Awards 2020 based on her academic records. Two book chapters have been published for CRC Press, Taylor Francis and IGIGlobal, United States. She has published and received grants for 2 Indian Patents.
I am vamsi Krishna chidipothu, an IT professional with 10 years of experience in finance IT. Holding a master’s degree in information security systems and electrical engineering, I am currently pursuing a PhD. With expertise in finance, information security, and emerging technologies like AI and blockchain, I am passionate about driving innovation in the tech industry. As a tech enthusiast and research graduate, I am dedicated to exploring cutting-edge solutions to shape the future of IT. Through a combination of technical knowledge and practical experience, I aim to contribute to the advancement of technology in the financial sector.
Dr. Krishna Kumar L is an esteemed academic and researcher specializing in Artificial Intelligence, Data Science, Machine Learning, and Cyber Security. Completed his Ph.D. and has significantly contributed to his field with authoring books, book chapters, research articles published in prestigious journals and conferences, along with several patents. His research interests span a broad spectrum, including AI, Data Engineering, Big Data Analytics, and Cloud Computing. With an extensive career of over two decades, Dr. Krishna Kumar has gained rich experience across various sectors, including business enterprises, industry, science and technology, academia, and research & development. His recent focus on the intersection of Quantum Computing and Machine Learning marks a pivotal direction in his work, aiming to explore and innovate within the rapidly evolving landscape of Quantum ML and Quantum AI