As utilities increasingly adopt smart grids to modernize energy delivery, the integration of IoT, AI, and real-time data systems has significantly expanded the cybersecurity threat landscape. This session explores the evolving challenges and advanced solutions for securing critical energy infrastructure in the digital age.

This session will provide an in-depth examination of cyber threats targeting smart grids—from false data injection and denial-of-service (DoS) attacks to ransomware and insider threats. It presents actionable strategies that combine real-time monitoring, AI-enhanced intrusion detection systems (IDS), and deep learning techniques like RNNs, GANs, and autoencoders to detect and neutralize sophisticated attacks. The session also highlights proactive risk management practices, collaborative defense frameworks, and regulatory considerations to ensure uninterrupted energy delivery.

Attendees will learn:

How to detect and respond to FDI and DoS attacks using deep learning models

Best practices for implementing resilient architectures with secure communication protocols

The role of real-time analytics and AI in dynamic threat mitigation

How utilities can align with NERC CIP, NIST, and IEC cybersecurity standards

Case studies on cyber events in critical infrastructure and how to prepare recovery responses

This presentation delivers a forward-looking blueprint for energy providers, cybersecurity professionals, and researchers to build smart grid environments that are not only intelligent—but secure, resilient, and future-ready.