What does effective deterrence actually look like — and how do you prove it works?
TalkLPnews host, Amber Bradley, and Steve Lindsey, Co-Founder & Chief Technologist, LVT open a new series on deterrence and prevention, starting with a cold definition of what makes deterrence effective. Using the LPRC’s framework — “See it, get it, fear it” — Steve breaks down the psychology behind why some deterrents work and others lose their edge fast.
They dig into the TikTok era, where cameras have lost their authority. A recent Harris Poll found 75% of people still improve their behavior on camera — but 25% simply don’t care anymore. Steve explains the symbiotic relationship between accountability and deterrence: without consequences, the deterrent collapses.
The conversation moves from prerecorded messages that get ignored like motion lights to AI-powered talk-downs that call out what someone is wearing and doing — in any language, any style, any persona. Surfer dude. Teenager. Old English. The scalability problem is real, and LVT’s approach uses AI to filter noise before escalating to humans.
They also tackle the hardest question: how do you measure something that didn’t happen? Steve walks through a practical ROI framework — baseline your crime rate, apply deterrence, watch for that 70% reduction. But he warns: a solution that works in month one can fail by month three as desensitization sets in. The key is future-proofing with a dynamic system that adapts as fast as the red actors testing it.
This episode launches the “Game Over for Guesswork” research survey (https://app.userevidence.com/surveys/12f728de-21d2-4b0d-95e6-a9027f0730cb/share), debuting at Apex, with a chance to win a retro gaming system. Take the 2 minute survey and help us define how to quantify prevention!
Learn more about LVT here. (https://www.lvt.com/retail-security?_gl=1*6jz8t5*_up*MQ..*_gs*MQ..&gclid=CjwKCAjwq8PVBhAKEiwA2i3SHUAIWII8UMo7I4HiFxLx-G1oRr0D5X2ymnp_8dK9-i4VZvmO8m2n_hoCvbsQAvD_BwE&gbraid=0AAAAABeg0__B64ulwxBTvRPSUtG-r_B1V)
15 Sept 2026
What a decade at CVS taught him about vendor pitches
Matt Johnson spent 15 years inside retail, from catching shoplifters at a Target in upstate New York to running operations and the technology team at CVS. Four months ago he crossed over as VP and GM of loss prevention at siffron, a company he calls the biggest one you’ve never heard of.
Here’s his read on the industry – and it hits different. (haha! Just kidding, AI didn’t write this – his read is pretty much spot on: Budgets are thin, so retailers are leaning back into mechanical solutions that scale to every store while everyone else talks AI. The two also got into mentorship, where Amber finally told the story about the industry legend who agreed to mentor her and then went silent.
siffron is at APEX for the first time this year, so Matt walks back into a room full of retailers he used to be one of.
Curious about siffron? Check them out here. (https://siffron.com/)
31 Aug 2026
Finding the Missing Dollar
Is that a person behind your DC at 3 a.m., or a raccoon? Cameras have trouble with that call at night. Sunil Mudholkar, VP of Product for Physical Security at Octave, joins me to talk about the camera as a sensor that feeds inventory and POS instead of sitting in a security silo, lidar on the loading dock, and why he thinks the video wall stops being the center of the room.
Octave spun out of Hexagon and listed on the Nasdaq in May, but the physical security group inside it has been pulling data off cameras for 15 years. Oh, and by the way, I did return the favor for all the knowledge out of this one…..by providing a SPOT ON example of how all this works (yes, now you have to listen).
For more information about Octave – check it out here. (https://www.octave.com/industries/security)
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Apple Podcasts (US)
4.7 / 5
15 ratings
Podcast Authority Score: 40 / 100
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46
Social presence
0
YouTube
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Engagement
85
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