Reduce Gaps in Visibility With Always-On Monitoring Systems
“AI video surveillance combines traditional camera operations with intelligent data processing,” writes David Sibley, a cybersecurity adviser at CDW specializing in the small business sector, in a BizTech blog. “AI-enabled cameras can scan images to identify faces and then use publicly available databases to find likely matches. This enables businesses to pinpoint and ban potential thieves and provide police with the data they need to act. AI video surveillance can also be used to record license plate data and uncover information about vehicle owners.”
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Last year, during NRF 2025: Retail’s Big Show in New York City, data-rich video footage from cameras on the expo floor wowed attendees.
Gina Cox, senior retail IT adviser at CDW, told BizTech about how AI is improving physical security in retail stores: “I supported a loss-prevention team for a while, and when they had something stolen or knew somebody with a red backpack maybe came in and caused a problem, in the past, they had to watch hours of video trying to find that person. The coolest thing now, one example, is that with AI put on your cameras, you can now just type in, ‘Bring me all of the videos that show a person with a red backpack.’”
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One self-storage company, for example, has found that switching to a cloud-based, always-on surveillance system helped to improve security responses and reduce the time needed to pull video needed as possible evidence.
“Cloud-based solutions ensure organizations always have access to the latest features without any IT overhead. All of these capabilities can help security teams reduce the impact of security incidents — or prevent them from happening in the first place,” notes a CDW white paper.
