Hybrid Video Surveillance Architecture: Why Flexibility Is Shaping the Future of Enterprise Video Surveillance
Oncam COO Scott Brothers joined the SecurityDNA podcast to discuss cloud adoption, hybrid architecture, AI-powered analytics, interoperability, and the future of enterprise video surveillance. Key takeaways: Hybrid video surveillance architecture — combining edge processing, local storage, and cloud services — is becoming the enterprise standard because it balances performance, cost, and resilience better than pure cloud or pure on-prem. AI video analytics delivers real operational value, but total cost of ownership (compute, storage, network) needs to be evaluated alongside features, not after deployment. Interoperability and open platforms are now top evaluation criteria, since security leaders want confidence their investment scales [...]
How AI-Powered Video Search Reduces Investigation Time
When a security incident occurs, finding the right footage can be one of the most time-consuming parts of the investigation. Security teams often need to review recordings from multiple cameras, estimate timelines, and manually search through hours of video to locate relevant events. As video deployments continue to grow, this process becomes increasingly difficult. More cameras, longer retention periods, and larger facilities mean investigators must sift through more data than ever before. The Challenge: Finding Critical Evidence Quickly In many organizations, investigators are asked to respond quickly to incidents while managing large volumes of video data. Whether they are investigating [...]
The Growing Role of Operational Intelligence in Video Surveillance
For years, video surveillance systems were primarily used as forensic tools. When an incident occurred, security teams would review footage to understand what happened and support investigations. While this remains an important function for video surveillance systems, organizations are increasingly recognizing that video data can provide value far beyond traditional security applications. Today, advances in AI-powered analytics and centralized video management platforms are transforming surveillance systems into sources of operational intelligence. Rather than simply recording events, modern video solutions can help organizations gain real-time visibility into facility operations, safety conditions, and business processes. The Challenge: More Data, Fewer Resources This [...]
Oncam COO Scott Brothers joined the SecurityDNA podcast to discuss cloud adoption, hybrid architecture, AI-powered analytics, interoperability, and the future of enterprise video surveillance. Key takeaways: Hybrid video surveillance architecture [...]
When a security incident occurs, finding the right footage can be one of the most time-consuming parts of the investigation. Security teams often need to review recordings from multiple cameras, [...]
For years, video surveillance systems were primarily used as forensic tools. When an incident occurred, security teams would review footage to understand what happened and support investigations. While this remains [...]






