Mr. Nguyen Tuan Khang
Mr. Nguyen Tuan Khang
Regional leader, IBM Data & AI Platform
IBM ASEAN
| BIOGRAPHY
Dr. Nguyen Tuan Khang is the regional leader at IBM ASEAN, nearly 25 years of expertise in the IT domain. With a career spanning industry vendors like Oracle and IBM, he has been instrumental in architecting digital transformation initiatives across diverse sectors, including financial services, public sector systems, retail, and manufacturing. His work has focused on deploying scalable AI frameworks and data-driven ecosystems to optimize operational workflows and enhance decision-making intelligence.
Dr. Khang’s proficiency covers Business Integration, Data & AI, and Security, positioning him as a trusted advisor on implementing business automation through intelligent process orchestration, AI-powered analytics, and robust security architectures for safeguarding data integrity and digital identity management.
In his current role as an SME leader, Dr. Khang spearheads the adoption of Data & AI solutions across the ASEAN countries, empowering business partners and clients to leverage IBM innovative technologies such as generative AI, open lakehouse and data intelligence & security…
| TOPIC
Secure Generative AI – Point of View from IBM
| ABSTRACT
While generative artificial intelligence (AI) is becoming a top technology investment area, many organizations are unprepared to cope with the cybersecurity risks associated with it. With AI models ingesting troves of valuable and sensitive data into their training sets—plus business leaders examining how these models can optimize critical operations and outputs—the stakes are incredibly high. Organizations cannot afford to bring unsecured AI into their environments.
According to the IBM Institute for Business Value, 96% of executives say adopting generative AI makes a security breach likely in their organization within the next three years.
In this topic, IBM introduces the IBM Framework for Securing Generative AI. It can help customers, partners and organizations around the world better understand the likeliest attacks on AI and prioritize the defensive approaches that are most important to secure their generative AI initiatives quickly.


