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Integrating Security AI with Legacy Systems: Challenges and Solutions

ovsero August 07, 2025

Most organizations implementing advanced security AI must integrate with existing security infrastructure rather than building from scratch. This integration process presents technical and operational challenges that require careful planning to overcome. The most common technical challenge involves connecting with legacy camera systems that may use proprietary protocols or produce video feeds of varying quality. Our integration approach addresses this through adapter modules that can process diverse video inputs, though organizations should recognize that detection performance will ultimately reflect input quality. Existing access control systems present another integration point, requiring either API connections where available or hardware interface devices for older systems. Alarm and notification systems similarly vary in their connectivity options, often necessitating custom integration work. Beyond technical considerations, operational integration requires alignment of response protocols—ensuring that AI-generated alerts fit within existing security workflows rather than creating parallel processes. At Westfield Corporate Center, successful integration with five different legacy systems required a phased approach, beginning with video monitoring, then adding access control integration, and finally implementing automated response workflows. Organizations should budget for integration services as a significant component of implementation costs, particularly in environments with diverse legacy systems. While replacing outdated equipment may increase initial investment, it often provides better long-term value than maintaining complex integrations with systems approaching end-of-life.