IBM AI Security: 36-Month Transformation

The report emphasized that in order to implement the AI -centered security system, the operating model of the existing security organization is fully redesigned, and that organic integration between the technology infrastructure and manpower strategy is essential. However, the organizational culture and human resources are still the biggest obstacle to the introduction of AI. 82%of executives are good at using AI functions, limitations and responsible AIs, while only 53%of front -line employees have the same understanding of understanding, and the driving force of AI conversion is focused on executives.

IBM introduced the case of cooperation with Hanon Systems, a global automotive thermal energy management solution company, as an example of applying AI -based security strategy to a real global operating environment. Based on the cooperation that has been continued since 2017, IBM has strengthened data protection and real -time threat response system throughout the global operation of Hanon Systems, and has laid the foundation for effectively responding to the rapidly evolving cyber threat through advanced security automation technology.

Hanon System has a system that meets the international security level through cooperation with IBM, and is strengthening the security consistency and transparency of the global operating environment by introducing not only real -time security monitoring but also advanced endpoint detection and response (EDR) solutions, and integrated account and access management (IAM) systems.