The Foundation of Effective AI Adoption: Information Security Guardrails
Session Overview
As companies expand their use of AI, CISOs and security leaders continue to face difficult questions. Blocking AI altogether may increase the risk of shadow AI, while unrestricted use can expose personal information, confidential data, and sensitive business assets. Although AI adoption is accelerating, many organisations still lack clear standards for secure and responsible operation.
This session explores the information security guardrails enterprises need to adopt AI effectively, safely, and at scale .
Key topics include data classification and input standards, approved AI usage channels, human-in-the-loop processes, access-control policies, logging and auditing, and governance controls for AI applications and autonomous agents.
Rather than treating information security as a simple matter of permission or prohibition, the session examines how organisations can define a manageable boundary of risk. From a CISO’s perspective, Geunhyung Lee will discuss how enterprises can balance the speed of AI adoption with the protection of sensitive information and establish practical governance standards for responsible AI use.
Speaker
CISO & CDO
Geunhyung Lee is a specialist in digital-driven business innovation.
Over the course of 21 years at Entrust Consulting, LG CNS’s internal consulting organisation, he led consulting projects in AI, data analytics, cloud, and optimisation for LG Group affiliates, private companies, and public institutions across industries including manufacturing, construction, and distribution.
He currently serves as CISO and CDO of LG CNS, leading digital initiatives that integrate IT, data, AI, and cybersecurity.
Drawing on extensive experience in digital transformation and enterprise consulting, he focuses on building practical governance frameworks that enable organisations to accelerate AI adoption while maintaining security, accountability, and operational control.