The growing demands from property managers and residents for greater efficiency, accuracy, and peace of mind are accelerating the adoption of artificial intelligence in monitoring centers. According to Abese, the electronic security sector generated R$ 14 billion in 2024 and is projected to grow by 23.7% in 2025, driven primarily by the incorporation of AI, automation, and integrated systems. Furthermore, the AI Video Surveillance Market report indicates that the use of AI-powered video analytics can reduce false alarms by up to 70%.
Beyond the numbers, the adoption of AI is transforming the operational logic of monitoring centers, where operators are no longer merely “firefighters” and instead assume a more strategic role, focusing on what truly matters. In addition to improving incident screening, AI enables monitoring centers to offer a more consultative service, with predictive reports, behavioral analyses, and evidence that help property managers and administrators make more strategic decisions.
According to Lucas Cinelli, CEO and co-founder of Octos, a cloud-based AI SaaS platform focused on the electronic security sector, artificial intelligence has become the cornerstone for monitoring centers that aim to be sustainable, reliable, and scalable. “AI does not replace the operator; it expands their capacity. By filtering out noise and reducing false positives, the team can focus on situations that truly require attention,” he states.
Lucas argues that the technology should be accessible even to smaller operations, which traditionally lacked access to advanced video analytics solutions. According to the expert, the current challenge is not only detecting intrusions but distinguishing what truly represents a risk. “An excess of false alarms wears down operators, damages client trust, and reduces team effectiveness. When a monitoring center receives dozens of irrelevant alerts per day, the sense of priority is lost. AI solves this at the root,” he explains.
