Dattatraya Vishnu Kodavade
Biography
Prof.Dr. Dattatraya Vishnu Kodavade,
D.K.T.E.Societys Textile and Engineering Institute,Ichalkaranji,INDIA.
He is working as a Professor & Head in Computer Sc. & Engineering department and also as Dean (Projects & Consultancy ) at DKTE Societys Textile and Engineering Institute,Ichalkaranji, Dist. Kolhapur, India. He is having 32 years of teaching experience. He is Member of ACM ,USA . He is working as technical reviewer for many reputed international Journals and Conferences in Artificial Intelligence, Machine Learning High Performance Computing architectures. He has published 30 research papers in reputed International Journals. He is member of Board of Studies in Computer Sc. & Engineering at Shivaji University, Kolhapur and also working as a Member of Academic Council and Board of Governors at many Institutions in India. His areas of research includes AI & cybersecurity , Machine learning, HPC, IoT and robotics applications. He has worked as a Data Auditor for World Bank funded TEQIP project in India. He is also working as Editor In Chief for an International Journal on Knowledge Based Systems.
Research Interest
Cybersecurity in the Age of Autonomous Systems: Challenges and Opportunities
Abstract
The rapid evolution of artificial intelligence has given rise to a new generation of autonomous systems?ranging from drones and self-driving vehicles to intelligent software agents and robotic process automation. These AI-driven systems are transforming industries, enhancing operational efficiency, and enabling new capabilities across critical sectors such as defense, healthcare, logistics, and finance. However, with this transformation comes a parallel shift in the cybersecurity threat landscape.
Autonomous systems introduce unique vulnerabilities due to their complex decision-making, real-time data processing, and connectivity to cloud and edge networks. Unlike traditional IT assets, these systems often operate with minimal human intervention, making them attractive targets for adversaries aiming to exploit behavioral models, sensor manipulation, or software vulnerabilities. Attackers can potentially hijack autonomous agents, weaponize drones, or mislead AI algorithms using adversarial inputs, creating safety, privacy, and ethical concerns on an unprecedented scale.
At the same time, AI offers powerful tools to fortify cybersecurity. Intelligent threat detection, anomaly analysis, self-healing systems, and automated incident response are reshaping defense strategies. By integrating AI into cybersecurity frameworks, organizations can monitor, predict, and respond to threats at machine speed?an essential capability in environments where milliseconds matter.
This keynote will explore the dual-edged impact of AI-driven autonomy on cybersecurity. It will examine real-world use cases, attack vectors, and defense mechanisms related to autonomous systems. Further, it will highlight the need for interdisciplinary collaboration between AI researchers, cybersecurity experts, policymakers, and industry leaders to ensure that autonomous technologies are deployed safely, ethically, and resiliently. As we step into a future governed by intelligent machines, redefining security paradigms becomes not only a technical imperative
