S7, E271 - One File to Rule Them All

Send us Fan MailIn 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. The deal was awarded without competitive bidding.The IRS Bombshell The same week, The Intercept revealed — based on documents obtained by watchdog group American Oversight — that Palantir has been running financial crime surveillance operations inside the IRS since 2018. The IRS has paid Palantir over $130 million for access to a platform that cross-references bank records, tax filings, transaction histories, and more across millions of Americans.The Immigration Enforcement Machine Palantir's ICE contracts — now over $145 million — power the agency's case management, deportation targeting, and real-time location tracking of immigrants. A tool called ELITE creates individual dossiers on deportation targets by pulling data from the Department of Health and Human Services.The Pushback That's Working New York City's public hospital network canceled its Palantir contract after community organizing and City Council pressure. In the UK, 229,000 people have signed petitions to remove Palantir from the National Health Service. Public pressure is moving the needle.Five Things You Can Do Right Now Cameron closes with specific, actionable steps every listener can take — from requesting your IRS transcript to freezing your credit to contacting your representative about sole-source contracting.Privacy Please is part of the Problem Lounge Network. New episodes weekly. theproblemlounge.comChapter Markers 00:00 — Cold Open01:30 — Intro & Show Welcome02:45 — Act One: The USDA Deal06:00 — Act Two: Who Is Palantir?11:30 — Act Three: The Empire Expands (ICE, Policing)17:00 — Act Four: Your Tax Returns Are In There Too24:00 — Act Five: The Layer Nobody's Talking About30:00 — Act Six: The Part That Gives Me Hope34:30 — What You Can Actually Do (5 Tips)39:00 — Closing Reflection (Adjust timestamps after editing)Support the show

Send us Fan MailA 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 (Reinforcement Learning from Human Feedback), and why that behind-the-scenes work shapes how tools from OpenAI, Anthropic, Meta, and Google behave. Then we unpack Lite LLM, the open source “plumbing” that connects apps to multiple AI services, and how a supply chain attack can bypass the company you’re targeting by compromising the dependencies everyone trusts. From there, the focus shifts to the fallout: contractors whose Social Security numbers and identity documents may be exposed, companies scrambling to assess backdoors and credential theft, and the bigger fear that proprietary AI training data sets and labeling strategies are being auctioned on the dark web. We also dig into the compliance controversy around SOC2 and ISO 27001 style certifications and what happens when security audits become performance instead of protection. If you care about cybersecurity, data privacy, AI governance, and open source risk, listen through to the end for concrete steps you can take right now. Subscribe, share this with a friend who uses AI tools, and leave a review with your take on who should be held accountable.Support the show

Send us Fan MailYou 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 consentThe GitHub policy change that's happening right now — and how to opt outWhy 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 modelPractical steps to audit your tools and protect yourself todayLinks:GitHub opt-out: github.com/settings/copilot/featuresKhan v. Figma lawsuit: rainintelligence.comFTC on AI data practices: ftc.govCheck your state privacy rights: iapp.org/resources/article/us-state-privacy-legislation-trackerDelete old posts: redact.devPrivacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listenSupport the show

Send us Fan MailYour 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) worksWhy previous anonymity attacks required structured data, and this one doesn'tWhy commercial AI safety guardrails didn't stop itWhat "practical obscurity" meant, and why it's goneConcrete steps to reduce your exposure todayLinks:Research paper: arxiv.org/abs/2602.16800Delete your Reddit history: redact.devTor Project: torproject.orgSignal: signal.orgPrivacy Please is part of The Problem Lounge network. 🌐 theproblemlounge.com 🎙️ Subscribe on Apple Podcasts, Spotify, or wherever you listenSupport the show

Send us Fan MailCameron 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 secureThe three stages of compliance maturity — and how to climb themWhat "compliance debt" is and why it's quietly eating your businessHow smart CISOs use their security posture as a revenue driver, not a back-office cost centerThe "$100/month" challenge: what actually moves the needle for startupsHow AI is reshaping compliance programs — for better or worseWhy Girish spent over a year talking to customers before writing a single line of codePlus: 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

Send us Fan MailHow a Super Bowl dog commercial accidentally revealed America's surveillance infrastructureA 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

Send us Fan MailAutonomy sounds like progress until the system turns your choices against you. We dive into how AI agents change the risk equation, why “don’t trust, verify” now beats “trust but verify,” and what to do when the update button itself becomes the attack vector.We start with the Ivy League leak tied to Harvard and UPenn, where attackers exposed admissions hold notes that map influence rather than credit cards. That context turns routine records into leverage for extortion, social pressure, and geopolitical targeting. From there, we trace the surge of agentic AI in the workplace as employees paste code, legal docs, and sensitive files into chat interfaces. The real accelerant is MCP, the model context protocol that standardizes connections across Google Drive, Slack, databases, and more. Like USB for AI, MCP makes integration simple and powerful, but a single prompt injection can pivot across everything the agent can reach.Security gets messier with supply chain compromise. A China‑nexus campaign allegedly hijacked the Notepad++ update mechanism, handing a bespoke backdoor to developers who did the right thing. We unpack how to keep patching while reducing risk: signed updates, independent checksum checks, tight egress policies for updaters, and strong monitoring around update flows. On the policy front, Rhode Island’s vendor transparency rule forces companies to name who buys data. It is a nutrition label for privacy, and it lets users and watchdogs finally connect the dots between friendly interfaces and aggressive brokers.We close with concrete defenses that raise the floor. Move high‑value accounts to FIDO2 hardware keys or platform passkeys to block phishing at the protocol level. Scope agent permissions narrowly, isolate MCP connectors by function, and require explicit approvals for sensitive actions. Log everything an agent touches and review those trails. Autonomy should be earned, minimal, and observable. If AI is going to act on your behalf, it must prove itself at every step.If this conversation helps you think differently about agents, influence mapping, and how to lock down your stack, subscribe, share with a teammate, and leave a quick review telling us the one control you plan to implement this week.Support the show

Send us Fan MailWe kick off season seven with a tour of the year’s early privacy & security news: neighborhood watchtowers from Ring, a rival-led hack of Breach Forums, a massive stitched leak in France, a heavy Microsoft patch drop, AI agents on the rise, and new state privacy laws. We share practical steps: self-host cameras, freeze your credit, harden identity portals, and keep humans in the loop when AI handles sensitive data.• CES unveils Ring’s neighborhood watchtower and its surveillance tradeoffs• Why self‑hosted DVR systems beat cloud video for privacy• Breach Forums doxxed by rivals and lessons in OPSEC• France’s 45 million record “combo” leak and re‑identification risks• Credit freezes, hard vs soft inquiries, and portal security• Microsoft’s 114 patches and sane patch management• AI agents escalating breach risk and human‑in‑the‑loop controls• New privacy laws in Indiana, Kentucky, and Rhode Island and actionable rightsPlease go to theproblemlounge.com and sign up for the newsletterIf you have guests or topics or anything, please reach out to us!Support the show

Send us Fan MailWe look back at 2025’s privacy and security reality: useful AI where data was ready, repeating breach patterns, and infrastructure limits that slowed the hype. We call out backdoors, weak 2FA, and the shift toward passkeys, decentralization, and owning more of our stack.• AI succeeds when data, process and governance are mature• Power, chips and cost constraints limit AI growth• SALT Typhoon shows backdoor risk and patching failures• SMS 2FA remains weak while passkeys gain ground• Data hoarding expands breach blast radius• Streaming consolidation drives algorithm control and piracy’s return• Decentralization and self‑hosting rebuild trust with users• 2026 outlook: AI contraction, ML pragmatism, fewer but stronger toolsCheck out our website: the problemlounge.comIf you have episode guest ideas or topics you want us to talk about, please send them our wayGo check out YouTube channel, Privacy Please PodcastIn 2026, would you like to see us do live streams? Support the show

Send us Fan MailIt is Monday, December 15th, and the battle for Hollywood has officially gone nuclear.What started as an $82 billion acquisition by Netflix has morphed into a $108 billion hostile takeover battle with Paramount Skydance. As of this morning, stocks are volatile, the government has frozen the deal, and a massive Class Action Lawsuit has just been filed to burn it all down.In this Special Report from Privacy Please, we break down the chaos of the last 72 hours. We uncover the "National Security" weapon Netflix is using to kill the deal, the foreign money backing Paramount, and the leaked memos that reveal why executives are selling you out.No matter who wins—the Algorithm or the Oligarchs—your privacy is the casualty.Time Stamps / Key Moments:0:00 - Monday Morning Chaos: Stocks Halted & The $108B Counter-Bid2:15 - Future A vs. Future B: The Algorithm Era vs. The Oligarch Era5:30 - BREAKING: The "National Security" Argument & Class Action Lawsuit8:45 - Leaked Memos: The "Golden Parachute" Betrayal11:20 - The Fallout: Why Streaming Prices Will Hit $35/MonthWhat you'll uncover in this deep dive:The Weekend of Chaos: A complete timeline of how Netflix lost control of the deal over the weekend.The "Foreign Money" Threat: Why Paramount's backing by sovereign wealth funds has regulators panicked.Netflix's Hypocrisy: How the surveillance giant is weaponizing "privacy" to stop their competitors.The Consumer Cost: Why the era of cheap streaming is officially dead.Join the Community: We are building a community dedicated to navigating these complex digital issues.Website & Newsletter: https://www.theproblemlounge.comSupport the Show: http://buzzsprout.com/622234/supportDon't forget to Like, Comment, and Subscribe! Your support helps us uncover the stories Big Tech wants to hide.#WarnerBros #Netflix #Paramount #StreamingWars #PrivacyPlease #Antitrust #FTC #DataPrivacy #Hollywood #BreakingNews #ClassAction #StockMarketSupport the show