The agentic AI-driven solution uses video from any Video Management System (VMS), whether the existing environment is primarily passive or already uses conventional, non-agentic video analytics built into the VMS, edge devices, or onboard cameras. It provides actionable intelligence by autonomously detecting threats, then automating and accelerating responses.

Cysecurity adds a higher layer of contextual understanding, reasoning, anomaly detection, and intelligent response without requiring organisations to replace their existing surveillance infrastructure.

"As video surveillance systems continue to incorporate more cameras, security teams are increasingly challenged by both the volume of video and the growing number of alerts generated by conventional analytics," said Paul Wilson, President of Cynapse.ai. "Cysecurity goes beyond passive recording and basic video analytics by combining predetermined events of interest, advanced video language models (VLM), contextual understanding, and Agentic AI. This allows organisations to evolve their existing camera and VMS infrastructure into a proactive, always-on intelligent solution that understands what is happening, identifies what matters, and helps accelerate response.”

Cysecurity autonomously identifies events of specific interest, analyses contextual video scenes and individuals’ behaviour patterns, detects anomalies, and monitors crowds. Alerts are issued instantly when events of interest are detected. System admins can also search and locate live video feeds and recorded events using simple language commands with Cynapse Copilot.

Additionally, Cynapse Copilot is the only video analytics solution to feature an AI chatbot, changing the way operators interact with their video data, while improving speed, accuracy, and scale.

Cysecurity effectively gives time back to the personnel, allowing them to focus on other security related functions and support functions.