Enterprise AI Security — Is AI Really More Dangerous? (企業 AI 保安 — AI 真的更危險嗎？)

​AI is entering everyday business workflows—but does using AI automatically mean taking on significantly more security risk?

​Concerns around confidential data, public AI models, AI agents and increasingly autonomous systems are valid. But avoiding AI entirely is not necessarily the answer. Many of the principles businesses already use to manage technology risk—such as access control, data classification, governance, approval processes and backups—remain highly relevant in the AI era.

​The real question is not simply whether AI is safe or dangerous. It is how businesses can use AI while keeping the risks proportionate, understood and controlled.

​In this online sharing session, Emprise Chan, AI Strategy Consultant at Ultermind, will discuss AI security from a practical business and management perspective.

​We will explore questions such as:

• ​Is AI fundamentally more dangerous than the SaaS and cloud systems businesses already use?

• ​What information should—and should not—be shared with public AI models?

• ​How do security considerations change when AI moves from answering questions to taking actions?

• ​Why do access rights, backups and traditional governance become even more important with AI agents?

• ​Can excessive security restrictions prevent organisations from gaining meaningful value from AI?

• ​How should management balance AI adoption, productivity and risk?

​By the end of the session, you should have a clearer way to think about AI security—not as a reason to automatically reject AI, but as a business risk that needs to be understood, classified and managed appropriately.

​This session is designed for business owners, managers and decision-makers who are considering AI adoption but want to understand the security implications before moving forward.

​📅 15 September 2026 (Tuesday)
🕘 9:00 PM – 10:30 PM
💻 Online
🗣️ Cantonese