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 [...]

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 [...]