Topic: AI Risk, Compliance, and Cyber Defense: The CISO Perspective
Abstract: As artificial intelligence rapidly becomes embedded across enterprise systems, it introduces a dual challenge for cybersecurity leaders: defending against AI-driven threats while ensuring the secure and compliant use of AI within the organization. This webinar explores how Chief Information Security Officers (CISOs) must evolve their approach to risk, compliance, and cyber defense in this new landscape.
The session will examine emerging AI-related risks, including adversarial attacks, data integrity concerns, and over-reliance on automated decision-making. It will also highlight how AI is transforming cyber defense through advanced detection, predictive analytics, and security automation. From a CISO perspective, the talk emphasizes the need for an integrated operating model that aligns cybersecurity practices with governance and regulatory expectations.
Drawing from real-world experience in cybersecurity leadership and applied research, this session provides practical insights into securing AI innovation while managing risk and ensuring compliance.
Key Takeaways:
- Understanding the challenges of AI-related security
- How AI is transforming cyber defense through intelligence and automation
- The evolving role of CISOs in managing AI-related risk
- Importance of integrating cybersecurity for AI with GRC
- Building an operational AI-aligned cybersecurity model
- Practical approaches to securing AI systems across their lifecycle
- Balancing innovation with responsible and secure AI adoption
Speaker:
Prof. Atdhe Buja, Assistant Professor, Commonwealth University of Pennsylvania
Bio: Dr. Atdhe Buja is an Assistant Professor of Computer Science, Digital Forensics, and Cybersecurity at the Commonwealth University of Pennsylvania, USA (Bloomsburg University). A world-renowned cybersecurity expert with decades of experience, he is a CISO, EC-Council Instructor (CEI), Certified Ethical Hacker (CEH), a Microsoft IT professional, and an Oracle Administrator for RDBMS. He is a leading authority on information technology, industrial IoT, and ICS/SCADA cybersecurity.
His research focuses on cybersecurity countermeasures for industrial IoT, IoT security, ICS/SCADA infrastructures, wireless sensor networks (WSN), cybersecurity of machine learning and artificial intelligence, and database management systems. He is the author of multiple books, including Cybersecurity of Industrial Internet of Things (IIoT) and AI and ML-Driven Cybersecurity: Industrial IoT and WSN with Python Scripting.
