Jeff Ketelaars on AI, Home Security Risks, and Consumer Protection
Author(s): Scott Douglas Jacobsen
Publication (Outlet/Website): A Further Inquiry
Publication Date (yyyy/mm/dd): 2025/10/18
Jeff Ketelaars is a veteran security professional with over 35 years of experience in the industry. He founded two security agencies and launched Security Conscious in 1990, providing advanced training for security guards. As a skilled negotiator, he has represented Canada’s largest security guard union, securing fair contracts and improved conditions for frontline personnel. Ketelaars is also the co-founder of Security Guards Only, a networking and resource platform for security professionals across North America and the UK. Respected for his leadership and dedication, he continues to champion professionalism, education, and innovation in physical and home security.
Scott Douglas Jacobsen: How is AI being integrated into home security systems (e.g., smart doorbells, surveillance cameras, motion detection)?
Jeff Ketalaars: A lot of companies are using AI to make their products more comprehensive, like Ring for example. They have an AI feature that lets you find specific moments in your Ring camera footage by searching things like “blue car driving by” or “red shirt.” This can be useful if you’re looking for specific events or moments and means you do not have to scroll through potentially hours of video. Surveillance cameras in general now often include facial recognition or behaviour analysis and can assess the context of movement, like knowing the difference between a delivery person and someone lurking around.
Jacobsen: What are the ethical and legal risks tied to data collection, surveillance, and facial recognition in domestic spaces?
Ketalaars: The biggest ethical issue is consent: neighbours, delivery workers, people just walking by, and even family members might be recorded without knowing. Facial recognition can be especially problematic if it misidentifies people or stores data without clear permission. In a lot of regions, homeowners need to disclose when they’re recording but this is not strictly enforced. The laws can be vague, especially when it comes to how long data is stored or whether it is shared with third parties like law enforcement or private companies.
Jacobsen: Are existing regulations sufficient—or are new guidelines needed to protect consumers?
Ketalaars: I would say that current regulations are lagging behind the technology because it is rapidly expanding. There are some broad privacy laws but they are not specifically designed for home security systems. Regulations specifically around data policies are important for protecting privacy while still being secure.
Jacobsen: What is the potential for misuse of AI-powered security (e.g., biased identification, over-surveillance, data breaches)?
Ketalaars: AI systems are not foolproof. Facial recognition technology has been shown to have bias meaning it might misidentify people which can cause issues. There is also the issue of data breaches because if the system’s cloud storage is not secure, people can gain access to live feeds or personal footage, which completely defeats the purpose of enhancing security.
Jacobsen: What should consumers consider when selecting or managing smart security systems?
Ketalaars: Pick one based on safety and data responsibility. This would be devices that have strong encryption and clear privacy policies. I would also suggest brands with good reputations for transparency and customer support and be a bit cautious with facial recognition features, especially if the policies are not clear.
Jacobsen: Thank you for the opportunity and your time, Jeff.
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