SNDT Women’s University is proud to announce the International Conference on Artificial Intelligence, Machine Learning and Defensive Security – DefenSec2025.
This Conference is a flagship event that brings together over 500 professionals, researchers, and students to discuss cutting-edge trends and solutions in Cybersecurity, Artificial Intelligence, and Machine Learning. It provides a platform for thought leaders to share their insights and for participants to engage in skill-building activities and networking opportunities.
Conference Objectives :
To create Awareness on Cyber Security
To create Industry and Academia Connect
To promote Research and Innovation in Cybersecurity, AI and ML
To promote Ethics in Cybersecurity and AI
To foster Multi-disciplinary Collaboration
Expected Outcomes :
Advancement of Knowledge: Dissemination of cutting-edge research in AI, ML, and Defensive Security with potential new methodologies and tools for cyber defense.
Innovation and Collaboration: Collaboration between researchers and industry professionals leading to AI-driven security solutions and joint research projects.
Emerging Trends: Focus on AI-enabled threat detection, automated cybersecurity, and predictive security models.
Policy and Ethical Discussions: Ethical implications of AI and ML including privacy, bias, and civil liberties.
Workshops and Training: Hands-on experience with AI tools and techniques in defensive security.
Publication of Research: Opportunity for publishing research papers, case studies, and white papers.
Paper Submission and Registration :
Authors are requested to submit their full-length manuscript in the given format within the notified due date through the Microsoft CMT link.
Acknowledgement: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
International Conference on Artificial Intelligence, Machine Learning and Defensive Security (DefenSec 2025) Brochure