Mr. Nachiappan Chockalingam

Title of the Talk :
The Guardian Paradox: When AI Becomes Both Protector and Threat in Cloud Data Privacy

Abstract of Talk:
As organizations migrate sensitive data to cloud infrastructures, they face an unprecedented challenge: protecting privacy in environments where data is distributed, dynamic, and constantly accessed. Artificial Intelligence has emerged as both the solution and the concern in this landscape. This tech talk explores the dual nature of AI in cloud data privacy examining how machine learning algorithms can detect anomalies, enforce access controls, and encrypt data intelligently, while simultaneously raising questions about algorithmic transparency, data poisoning, and the very models that learn from our private information. We’ll investigate cutting-edge approaches including homomorphic encryption, federated learning, differential privacy, and AI driven threat detection, while addressing the paradox at the heart of modern privacy: can we trust AI to protect our data when AI itself requires data to function? This session provides technical insights, real-world case studies, and practical frameworks for security architects, cloud engineers and privacy professionals navigating this complex intersection.

Bio: Nachiappan Chockalingam is a software engineering leader specializing in advanced privacy infrastructure and AI-driven solutions for large-scale digital ecosystems. He leads strategic initiatives that leverage machine intelligence to automate compliance with evolving global regulations, building resilient, privacy-aware platforms that safeguard user data while supporting critical business operations. A researcher in privacy-preserving AI and industrial IoT, Nachi is also a dedicated mentor committed to developing technical talent and advancing responsible, scalable computing.