Episode

Episode 65: From Big Data to Personal Safety: Doxxing, AI Risk, and Protecting People in a Data-Driven World with Rachel Vrabec

Podcast
909Exec
Published
Aug 1, 2026
Duration seconds
3142
Processing state
not_requested
Canonical source
https://podcasters.spotify.com/pod/show/909exec-podcast/episodes/Episode-65-From-Big-Data-to-Personal-Safety-Doxxing--AI-Risk--and-Protecting-People-in-a-Data-Driven-World-with-Rachel-Vrabec-e3mrd17
Audio
https://anchor.fm/s/faf7fd28/podcast/play/123630055/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-7-1%2F429037048-44100-2-38c9fd0f99505.mp3
JSON
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Markdown
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Summary

Brought to you by 909Shield. Interview fraud is on the rise — fake candidate profiles, proxy interviews, and AI-driven scams designed to slip past your hiring team. 909Shield helps organizations keep their interview process secure end to end. Learn more at 909shield.ai. 909Exec is the executive leadership podcast from 909Cyber, hosted by founder and CEO Den Jones, whose three-plus decades in enterprise security span Adobe, Cisco, SonicWall, and Banyan Security — where cybersecurity meets business strategy. In episode 65, Den is joined by Rachel Vrabec, founder and CEO of Kanary, to discuss how personal data has become both a powerful asset and a serious liability in the age of AI. Rachel traces her path from growing up a builder in Northern Wisconsin, to strategy consulting at IBM (design strategy, SAP, early enterprise Apple Watch deployments, and IoT safety modeling across Seoul, Madrid, and Tokyo), to political data science at Civis Analytics — where she sat beside the head of security while state-funded actors targeted the company's predictive models during the 2016 election. That front-row seat to data's power and risk pushed her to found Kanary: a platform that scrapes the web to map an individual's exposure, builds threat models for doxing, impersonation, and account takeover, and automates mitigation — for individuals and for organizations including the federal DOJ, major tech companies, and highly targeted nonprofits. Den and Rachel dig into how AI accelerates both the accuracy and the danger of personal data exposure, why Kanary acts as a "personal pen tester" running popular prompts against LLMs to catch leaks, and how harmful data can be removed or aged out as models retrain. They also cover Kanary's move toward multimodal protection (images and v…