Title of the Talk:

Intelligent Defense: AI-Driven Data Science for Next-Generation Cybersecurity

Abstract:

As cyber threats grow in scale and sophistication, traditional rule-based defenses are no longer sufficient. This session explores how Artificial Intelligence (AI) and Data Science are revolutionizing cybersecurity by enabling predictive, adaptive, and automated threat detection.
We will dive into how machine learning models, behavioral analytics, and real-time data pipelines can be embedded into enterprise systems to detect anomalies, prevent breaches, and respond autonomously. The session bridges theory and practice, showcasing how modern architectures built with Java, Spring Boot, microservices, and cloud-native platforms can operationalize AI securely at scale.
Attendees will learn how to design and deploy AI-powered cybersecurity systems, mitigate adversarial AI risks, and leverage data-driven insights to strengthen security posture. Real-world use cases from large-scale government and enterprise systems will illustrate how billions of transactions can be monitored and protected using intelligent automation.

Profile:

Accomplished Lead Java Full Stack Architect with over 14 years of experience driving innovation in enterprise software engineering, cloud-native systems, and AI-integrated applications. Recognized for original contributions of major significance in designing scalable microservices architectures, secure distributed systems, and high-performance platforms used in mission-critical environments.
Demonstrated expertise in Java, Spring Boot, Microservices, and DevOps, with a strong focus on secure system design and large-scale cloud deployments. Proven ability to architect and lead complex technology solutions that deliver measurable business impact, including performance optimization, cost reduction, and system resilience.
Actively contributes to the global technology community through technical publications, peer review/judging, and innovation in emerging areas such as AI and Large Language Models (LLMs). Holds international patents and published research, reflecting a sustained record of thought leadership and innovation.
Recognized for leadership in cross-functional teams and for advancing engineering excellence through mentorship, architecture governance, and adoption of cutting-edge technologies.