Usercentrics

🚀 Big news: we’ve acquired @MCPManagerAI, extending our Privacy‑Led Marketing Suite to AI. Now businesses can scale #AI with #consent, control & auditability across websites, apps & AI agents. Read the announcement: brnw.ch/21wZ542

@LuizaJarovsky A national AI policy framework in the US is a big deal. 👀 The real test will be how consent and data governance get treated when the negotiations start.

🚨 BREAKING: The White House has FINALLY released a National Policy Framework for AI. What might a "U.S. AI Act" look like? What will likely be the main bottlenecks during legislative negotiations? I'll cover the topic in depth in my newsletter. Join 92,200+ subscribers below.

@WIRED When privacy is opt-in and buried, low adoption isn't surprising. 👀 Default settings shape user behavior more than any preference ever will.

Meta blamed users for not opting into the privacy-protecting feature. Experts fear the move could be the first major domino to fall for end-to-end encryption tech worldwide. wired.com/story/the-dang…

@TechCrunch $375M into privacy 🙏 The market is finally paying attention and honestly, it's about time.

Consumer-focused privacy company Cloaked raises $375M as it expands to enterprise techcrunch.com/2026/03/19/con…

@SecurePrivacyAI Exactly! Privacy done right isn't about doing less 👥 It's about building systems that actually respect the people using them.

"Privacy activists want to go back to the stone age." We want: Encryption by default. Opt-in data collection. Transparent algorithms. User-controlled deletion. That's not regression. That's engineering for humans instead of stockholders.

@mailspec Yes. Consent should follow the data, not stop at the point of collection. If users didn't agree to AI training, that's not a gray area. That's a gap. 🛡️

The rise of generative AI is pushing governments to reconsider who controls the data used to train models. Digital sovereignty increasingly means ensuring that data privacy standards are respected throughout AI development cycles. Without that oversight, data privacy risks becoming an afterthought in technological progress. Should training data for AI be subject to stricter data privacy compliance rules?

@aakashgupta That's exactly why consent infrastructure has to be more than a banner. Real consent means users actually understand what they're agreeing to, and businesses are accountable for it. 🛡️

Let me explain exactly why your phone seems to read your thoughts, because the real answer is more invasive than telepathy. Every time you open a website or app, a real-time bidding auction fires in under 100 milliseconds. Your GPS coordinates, browsing history, device fingerprint, age, gender, income bracket, and hundreds of inferred interest categories get packaged into a “bid request” and broadcast to hundreds of companies simultaneously. One company wins the ad slot. All of them keep the data. This happens thousands of times per day per person. A 2018 New York Times investigation found 75 companies pulling precise location data from apps, with some users tracked up to 14,000 times in 24 hours. In 2012, a Target statistician identified 25 products that, purchased in combination, could predict a customer was pregnant and estimate her due date. A teenager’s father discovered she was pregnant because Target sent baby coupons to the house before she told anyone. That was one retailer. Store receipts only. Fourteen years ago. Now scale that. Your phone pings GPS while you sleep. Data brokers link your phone, laptop, and tablet through probabilistic matching of IP addresses, WiFi networks, and behavioral patterns without you ever logging in. The FTC caught two brokers in 2024 categorizing people by visits to reproductive health clinics, political protests, and religious services, then selling those profiles to law enforcement. The algorithm doesn’t hear your thoughts. It compares your behavioral fingerprint against millions of similar profiles and predicts your next interest before you’re consciously aware of it. It makes hundreds of predictions per day. You ignore the misses. The five hits feel like telepathy. You paid for the phone. You pay for the data plan. You generate the signal. And every time a page loads, your identity gets auctioned to the highest bidder before the content even renders. They called it “personalized advertising” because “real-time mass surveillance funded by the people being surveilled” doesn’t fit on a consent banner.

@D_GREAT_EHMY Completely familiar 👀 Privacy by design hits different when it's baked in from the start, whether that's onchain execution or how you build consent into a product from day one. 🔐

Privacy in crypto is not a single solution it’s a design choice. From what I picked up for the quoted post , there are two main approaches ‣ Privacy as an add-on You take an existing chain and layer privacy tools on top (mixers, zk add-ons, etc). It works, but you’re constrained by how the base system was designed. ‣ Privacy as a foundation You design the system from the ground up with privacy in mind how data is stored, how transactions are executed, and what gets revealed. --- The trade-off is subtle but important Add-on privacy often leads to - fragmented liquidity - limited composability - optional privacy (users opt in) While native privacy allows - consistent guarantees - better control over data visibility - deeper integration with apps Privacy is not just about hiding data. It’s about who controls execution and what the network needs to verify. This is where @0xMiden design starts to make sense. Instead of pushing all data on-chain and trying to hide it later, execution happens locally, and only proofs are shared. So privacy is not a feature layered on top But a result of how the system is built. @blkylimm @cryptee__

@followthespend Server-side is a game changer for performance, and first-party data is the future. The brands winning long-term are the ones making sure that data is fully consented. 🚀

Not “better tracking.” Here’s what server-side unlocks 👇 • +40% conversions • Better signals → lower CPA • First-party data • 365d cookies • Bypass blockers & ITP • Cleaner data • Better attribution • Full journey view • More control • Higher ROAS, lower CAC 🚀

@TeachPrivacy Complexity is the new normal in privacy, and exactly why having the right foundation matters. Regulation will keep evolving, but organizations that treat consent and trust as a strategy (not just a compliance task) will always be one step ahead. 🙌

From security breaches to AI, regulation is getting complicated. It's touching everything now, and laws are all over the place. #Tech #AI #Regulation #Privacy #FutureOfTech

@SimslearnAi This is the direction all AI tools need to move. Privacy built in from the ground up, not bolted on after. The bar for user trust is rising, and it's great to see products meeting it. 👏

Typeless is now officially HIPAA compliant (US) and GDPR compliant (EU) — meeting some of the world’s strictest data protection standard ✅ Zero cloud data retention ✅ Never trained on your data ✅ On-device history storage This means stronger security and full control over your data — whether you're a professional or everyday AI user. They’re also working toward SOC 2 Type II and ISO 27001 next. 🔗 Explore the Trust Center: trust.typeless.com ⁠ ✨ Try Typeless: typeless.com⁠ 🐦 Follow us on X: @Typelessdotcom⁠ #Typeless.com

We made a LinkedIn #newsletter for people who think about #cookiebanners and #dataprivacy too much. Expert insights, 4-min reads, every 2 weeks 👀 Join "The Opt-In Society": linkedin.com/newsletters/th…

In a privacy‑first world, leaders must prove performance with fewer signals and higher accountability. Join Chris Elsheikhi of @Usercentrics to learn how consented data, smarter metrics, and customer trust can turn privacy into a growth advantage. #GreatMindsThinkUnalike

@advertisingweek The real growth signal? Trust. 🙏 Looking forward to the conversation!

@advertisingweek Different perspectives, better measurement, smarter marketing. See you in London. 🚀

The next era of marketing is moving fast, with measurement leading the way. From standout campaigns to the tech reshaping how we show up, it’s the minds who see differently that keep the work moving forward. Brought by @Usercentrics #GreatMindsThinkUnalike

Under GDPR, you need explicit opt-in before activating Google Analytics. In some #US states, you must provide an opt-out option and clearly disclose your use of analytics 📊 usercentrics.com/knowledge-hub/…

#FAQ: Does Google Analytics require cookie consent? 🤔 Yes — in most regions, it does. #GoogleAnalytics collects personal data via cookies, which triggers privacy rules like #GDPR ✅

We couldn’t be prouder 🎉 Our CEO, Donna Dror, has joined the @ForbesTechCncl. A well-deserved recognition of her #leadership, clarity of vision, and commitment to shaping a more transparent #digitalfuture. We are so excited to see the impact she’ll make. Congratulations, Donna!

Many #privacylaws require you to block non-essential tracking until consent is given and keep a record of the choice. CMPs aren’t mandatory, but they’re a reliable way to manage consent and maintain accurate records. More: usercentrics.com/knowledge-hub/…

The banner explains which #cookies & #trackers are in use, usually grouped by category: Necessary ✅ Functional ⚙️ Analytics 📊 Marketing 📣 Users can then choose which types of cookies they want to allow. #DataPrivacy

🌐 How does #cookieconsent work? When someone visits your website, a Consent Management Platform (#CMP) often detects their location and shows a #banner in their preferred language, aligned with local #privacy laws.