This week on Shared Security, Tom and Scott dig into surveillance pricing: the use of personal data, behavioral profiles, shopping history, location signals, income assumptions, household information, and AI-driven targeting to decide what price or discount different people see for the same product.
The conversation connects New Jersey’s proposed grocery surveillance-pricing ban, Consumer Reports-style loophole concerns, loyalty-card data, and a creepy Papa John’s / Instacart / streaming-ad example into one listener-friendly question: when does ordinary dynamic pricing become personalized price discrimination based on what companies think they know about your life?
Special thanks to Guardsquare for sponsoring this episode! Guardsquare is the leader in mobile application security, with multi-layered protection for your Android and iOS apps. Learn more at Guardsquare.com.
** Links mentioned on the show **
EPIC — New Jersey Legislature Passes Grocery Surveillance Pricing Ban
https://epic.org/new-jersey-legislature-passes-grocery-surveillance-pricing-ban/
Schneier on Security — Papa Johns Surveillance-Based Advertising
https://www.schneier.com/blog/archives/2026/07/papa-johns-surveillance-based-advertising.html
EFF — California’s Bill to Ban Surveillance Pricing
https://www.eff.org/deeplinks/2026/06/californias-bill-ban-surveillance-pricing
Scott’s Digital Legacy Project
https://securityperspectives.com/digital-legacy-tools/
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