The rapid evolution of Generative AI (Gen AI) is transforming the cybersecurity landscape — enhancing both the tools available to defenders and the capabilities of attackers. In this session, we explore the rise of AI-driven threats such as Automated Phishing (AoPhishing), large-scale social engineering, and prompt injection attacks that target AI systems themselves. At the same time, we highlight how Gen AI is empowering cybersecurity professionals with advanced threat detection, intelligent automation, and adaptive defense mechanisms. 

From real-world case studies to emerging trends, this session unpacks the dual-use nature of Gen AI in cybersecurity. We’ll also discuss the ethical and regulatory implications, and how organizations can build AI-resilient systems. 

Whether you're a cybersecurity expert, AI developer, or tech strategist, this session offers a comprehensive look into how Gen AI is both challenging and securing the future of digital defense. 

Table of Contents

• Introduction to Gen AI in Cybersecurity 

• Understanding AoPhishing (AI-Driven Phishing Attacks) 

• Social Engineering at Scale Using Gen AI 

• Prompt Injection and Prompt Hacks in LLMs 

• Securing AI Systems: Common Vulnerabilities and Mitigation 

• Gen AI for Threat Detection and Incident Response 

• AI in Malware Analysis and Anomaly Detection 

• Ethical Challenges and Dual-Use Concerns of Gen AI 

• AI Governance and Cybersecurity Regulations (EU AI Act, NIST, etc.) 

• Emerging Trends: Deepfakes, Zero Trust + AI, Quantum Threats 

• Case Studies: Offensive and Defensive Uses of Gen AI 

• Future of Cybersecurity with AI-Integrated Systems