AI Is Changing the Security Paradigm: From "Detection" to "Prediction"

S-1 Corporation Releases "2026 Security Trends" Report

There are predictions that this year, the security industry paradigm will shift from "detection" to "prediction." With the introduction of artificial intelligence (AI), there is a clear demand for AI-based preemptive detection and prediction systems, moving beyond the traditional approach of post-incident confirmation.

On January 11, S-1 Corporation released its "2026 Security Trends" report, which included these findings. The company conducted a survey of 27,207 of its customers between January 2 and January 6, and comprehensively analyzed crime and accident statistics.

S-1 Corporation identified detailed trends for different environments, including industrial sites, unmanned stores, public institutions and schools, and residential areas. In industrial sites, "predictive AI safety management" is expected to draw significant attention. According to the survey, the most threatening factors in industrial sites are unmanned time gaps (41%), reliance on personnel (28%), and post-incident awareness (27%). When asked about the security systems they would like to improve, the overwhelming majority cited "pre-incident risk detection" (49%) and "real-time monitoring" (36%). Reflecting this demand, 83% of respondents said that the introduction of "AI-based real-time risk detection solutions" is necessary, a 25 percentage point increase from last year's response (58%) to the same question.

For unmanned stores, the greatest operational challenges were identified as "post-incident awareness" (46%), "the burden of constant monitoring" (38%), and "difficulty in real-time response" (15%). This indicates a significant burden caused by only being able to assess situations after incidents occur or requiring store owners to continuously monitor operations. The most desired improvement in security systems was "AI-based automatic detection of abnormal behavior" (46%), followed by "dispatch response by professional personnel" (24%) and "automatic storage of video evidence" (17%).

In public institutions and schools, the adoption of "preventive smart facility management" is expected to expand. According to the survey, the greatest concerns in facility safety management were "delayed response to fires and disasters" (28%), "unauthorized entry by outsiders" (27%), "accidents involving students or visitors" (16%), and "facility aging or malfunction" (15%). The most desired facility management systems were "real-time facility status monitoring" (45%) and "preemptive detection of abnormal signs" (26%). This suggests a growing awareness that management should shift from post-incident response to proactive prevention. Regarding smart facility management solutions, 93% of respondents agreed on the need for their introduction.

In residential areas, as incidents of home intrusion and package theft increase, security systems are evolving into surveillance equipment. According to the survey, the current problems with security systems are "inability to check when away from home" (41%), "awareness only after an incident occurs" (28%), and "difficulty understanding what is happening outside the front door" (23%). When asked about the necessary security systems, most respondents answered "CCTV at the front door" (53%), "dispatch security services" (21%), and "indoor CCTV" (15%). This indicates that the focus of residential security is shifting toward monitoring and responding to situations through surveillance equipment such as CCTV. Additionally, 34% of respondents expressed their intention to install CCTV at their front door.

A representative from S-1 Corporation stated, "Home security is evolving from being centered on locks that prevent intrusion to surveillance equipment that monitors the situation at the front door and collects evidence," adding, "Active home security solutions that can simultaneously prevent and respond to both package theft and intrusion crimes will become essential household items."