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by A Problem Lounge Show
Welcome to "Privacy Please," a podcast for anyone who wants to know more about data privacy and security. Join your hosts Cam and Gabe as they talk to experts, academics, authors, and activists to break down complex privacy topics in a way that's easy to understand. In today's connected world, our personal information is constantly being collected, analyzed, and sometimes exploited. We believe everyone has a right to understand how their data is being used and what they can do to protect their privacy.
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- 1 weeks ago24 min
S7, E273 - Inside Shiny Hunters And The New Era Of SaaS Breaches
Send us Fan Mail Gabe and I dig into Shiny Hunters and why the scariest cyberattacks now look like ordinary logins instead of dramatic break-ins. We map how credential theft, social engineering, and SaaS data exports turn basic security hygiene into the difference between a close call and a headline. • Shiny Hunters’ scale, loose structure, and why takedowns rarely stick • Why ransomware and extortion keep growing as a business model • How the tactics evolve from Microsoft ...
- 3 weeks ago16 min
S7, E272 - They Know What You Watched
Send us Fan Mail SHOW NOTES The Pornhub breach is being reported as a data story. It's actually a story about shame as a weapon. In December 2025, a hacker group called ShinyHunters claimed to have stolen 200 million records from Pornhub Premium users — including email addresses, locations, and intimate watch and search history. They sent extortion demands. The data was verified as real. In this episode of Privacy Please, Cameron Ivey breaks down: ✅ What was actually stolen — and why i...
- May 5, 202622 min
S7, E271 - One File to Rule Them All
Send us Fan Mail In this episode of Privacy Please, Cameron Ivey investigates Palantir Technologies — a data analytics company founded in 2003 with CIA backing that has quietly become embedded across nearly every major arm of the U.S. federal government. This week's investigation covers: The USDA Deal On April 22nd, the Department of Agriculture signed a $300 million blanket purchase agreement with Palantir to build "One Farmer, One File" — a unified digital profile for every American farmer....
- Apr 20, 202613 min
S7, E270 - The 40-Minute Hack That Stole the Blueprint for AI | The Mercor Breach
Send us Fan Mail A normal data breach steals names and passwords. This one may have stolen the recipe for building the world’s most powerful AI models, and it happened through software most people will never notice until it breaks. We follow the Mercor breach from the first warning signs to the moment poisoned Python packages hit PyPI and spread in minutes across systems that were set to auto-update. We walk through what Mercor actually does in the AI economy, especially RLHF (Reinforc...
- Apr 1, 202612 min
S7, E269 - You're the Teacher Now: How Companies Are Using Your Data to Build AI That Replaces You
Send us Fan Mail You already knew you were the product. But did you know you're also the teacher? Companies are quietly feeding your emails, your work decisions, your customer interactions, and your daily patterns into AI systems — systems designed to automate exactly what you do. And most people have no idea it's happening. In this episode of Privacy Please, we break down how it works, who's doing it, why your right to delete your own data is functionally broken in the AI era, and what you can actually do about it. What we cover: How "function creep" turns your data into AI training fuel without new consent The GitHub policy change that's happening right now — and how to opt out Why employees at Amazon, Google, and JPMorgan described training AI as "building your own coffin." The deletion problem — why you can't remove yourself from a trained model Practical steps to audit your tools and protect yourself today Links: GitHub opt-out: github.com/settings/copilot/features Khan v. Figma lawsuit: rainintelligence.com FTC on AI data practices: ftc.gov Check your state privacy rights: iapp.org/resources/article/us-state-privacy-legislation-tracker Delete old posts: redact.dev Privacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listen Support the show
- Mar 13, 202610 min
S7, E268 - AI Can Unmask Your Anonymous Account for $4 | Here's How
Send us Fan Mail Your anonymous account isn't anonymous anymore. Researchers just proved it costs $4 to find out who you are. In February 2026, a team from ETH Zurich and Anthropic published a paper that quietly ended the era of practical online anonymity. Their AI pipeline, using nothing but your posts, comments, and forum activity, correctly identified 67% of pseudonymous users from a pool of 89,000 candidates. No name. No photo. No metadata. Just your words. This episode breaks down exactly how it works, why it's different from every deanonymization scare before it, who's most at risk, and what you can actually do about it. In this episode: How the ESRC pipeline (Extract, Search, Reason, Calibrate) works Why previous anonymity attacks required structured data, and this one doesn't Why commercial AI safety guardrails didn't stop it What "practical obscurity" meant, and why it's gone Concrete steps to reduce your exposure today Links: Research paper: arxiv.org/abs/2602.16800 Delete your Reddit history: redact.dev Tor Project: torproject.org Signal: signal.org Privacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listen Support the show
- Feb 27, 202644 min
S7, E267 - Your SOC 2 Won't Save You: Here's What Will with Girish Redekar, co-founder & CEO Sprinto
Send us Fan Mail Cameron and Gabe sit down with Girish Redekar, co-founder and CEO of Sprinto, to pull back the curtain on one of the most misunderstood areas of security: compliance. Girish built his first startup, RecruiterBox, to 3,500 customers before selling it, and it was the painful, expensive, duct-taped compliance process he experienced firsthand that sparked the idea for Sprinto. Today, Sprinto helps companies move beyond point-in-time audits into something far more valuable: continuous, autonomous trust. In this episode, we dig into: Why passing a SOC 2 or ISO 27001 audit doesn't mean you're actually secure The three stages of compliance maturity — and how to climb them What "compliance debt" is and why it's quietly eating your business How smart CISOs use their security posture as a revenue driver, not a back-office cost center The "$100/month" challenge: what actually moves the needle for startups How AI is reshaping compliance programs — for better or worse Why Girish spent over a year talking to customers before writing a single line of code Plus: the "sell more jeans" framework every CISO should know, Rich Hickey, The Mom Test, and the toilet paper question. 🔗 Find Sprinto at sprinto.com Support the show
- Feb 20, 202622 min
S7, E266 - Good Boy, Bad Data
Send us Fan Mail How a Super Bowl dog commercial accidentally revealed America's surveillance infrastructure A family loses their dog. Ring runs a Super Bowl ad. America collectively goes "wait… what?" This week, we're digging into Ring's "Search Party" feature, the AI-powered doorbell camera tool that lit up millions of living rooms during the big game and immediately made privacy experts lose their minds. Because what looked like a heartwarming story about finding your lost lab was actually a live demonstration of a nationwide networked surveillance system most people didn't know they were part of. We follow the trail from the commercial to the backlash, from a secret police surveillance partnership that quietly got canceled mid-chaos, to an 84-year-old woman's "deleted" doorbell footage that the FBI recovered anyway. There's a lost dog. There's Amazon. There's a company called Flock Safety that you need to know about. And there's a question worth asking before you go home and look at your front door. They sold you a puppy. They built a network. Support the show
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About Privacy Please
Welcome to "Privacy Please," a podcast for anyone who wants to know more about data privacy and security. Join your hosts Cam and Gabe as they talk to experts, academics, authors, and activists to break down complex privacy topics in a way that's easy to understand. In today's connected world, our personal information is constantly being collected, analyzed, and sometimes exploited. We believe everyone has a right to understand how their data is being used and what they can do to protect their privacy.
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How often does Privacy Please release new episodes?
Privacy Please publishes biweekly. Our AI generates a summary within hours of each new episode.
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Privacy Please covers topics including Comedy, News, Technology. Our AI identifies the specific themes in each episode and highlights what matters most to you.
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