In security operations, the demand has shifted from simply improving work efficiency to enhancing the entire process, including decision-making and analysis. While SOAR and various automation solutions have emerged, attracting attention for automating routine tasks and orchestration, many companies have not fully implemented and established these solutions. In reality, areas that tend to rely on human judgment, such as determining the authenticity of alerts and the initial response to investigations, remain bottlenecks. Against this backdrop, the "AI SOC" approach, which integrates AI into security operations flows, has been gaining attention in recent years. Numerous solutions exist to promote work efficiency and automation, such as SOAR and HyperAutomation, and Swimlane has supported many SOC operations as a SOAR platform. Now, Swimlane is introducing a new AI SOC solution. In the AI SOC market, how will we leverage the strengths of SOAR that we have cultivated over many years, and how will AI evolve SOC operations? In this video, we will introduce the value of Swimlane's unique AI SOC, including its features, usage scenarios, and demonstrations.

In recent years, security operations have become increasingly strained due to an increase in alerts, increasingly sophisticated AI attacks, and a shortage of personnel. While the adoption of SOAR and SIEM continues to grow, many voices are heard, such as "automation is not progressing," "it is impossible to break away from human dependency," and "there are challenges with in-house development." This video introduces Swimlane, a next-generation platform with use cases that offers "integration with other products," "support alongside," and "ease of development" as a new operational approach that overcomes the limitations of traditional SOAR. It offers hints for the post-SOAR era for those seeking to redesign their operational infrastructure or envision the ideal SOC.