Hameçonnage, failles et vie privée
Privacy, surveillance and control
A discussion of surveillance, data collection and the relationship between privacy and personal autonomy.
Original publication · 5 Oct 2025. Figures, claims and opinions reflect the original publication date.
Les publications originales sont en anglais. La navigation est disponible en sept langues.

Originally published as “Privacy is under attack”
Big Tech and governments are dismantling digital privacy faster than ever, and calling it “progress.”
What began as harmless convenience, GPS, messaging, cloud storage, has evolved into a full-scale surveillance infrastructure. Every message, photo, and tap is fuel for AI, advertising, or analytics. Your digital exhaust is more valuable than gold, and far easier to steal.
📱 The Corporate Harvest
Meta (Facebook, Instagram, WhatsApp):
Since May 2025, Meta officially trains its AI models using user data — including unpublished photos and private uploads — unless you explicitly object. Instagram’s new “Friend Map” allows real-time location sharing, while Meta deploys facial recognition to detect minors and “protect safety.” Every scan strengthens the company’s behavioral database.
TikTok:
Since 2021, its U.S. terms include the right to collect biometric identifiers (faceprints, voiceprints). Few read that line. Now, that data fuels both advertising and algorithmic profiling — knowing not just what you watch, but how your face reacts.
X (Twitter):
In 2023, Elon Musk’s platform updated its privacy policy to collect biometrics and professional history for “job matching.” In reality, it expands cross-profiling for the AI chatbot Grok, trained directly on user interactions.
Microsoft:
Copilot integrates deeply into enterprise networks. Analysts warn it can access sensitive internal data — HR docs, legal drafts, medical files — when permissions are mismanaged. Its model then “learns” from that exposure.
Google:
Publicly insists that Gemini doesn’t train on Gmail or Drive content. Yet experts warn that the boundary between “contextual analysis” and “model improvement” remains dangerously vague. Privacy fatigue ensures users won’t notice when that line blurs.
Palantir:
The analytics giant connects law enforcement, immigration, and financial data under U.S. contracts. Officially for counterterrorism — but in practice, it creates predictive dossiers on civilians, with minimal oversight.
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🏛️ The Government Dragnet
USA – CLOUD Act:
Authorizes U.S. agencies to compel data from any American company, regardless of where it’s stored. Your Swiss emails on a Google server? Still accessible to Washington.
UK – Age Verification Law (2025):
Websites with adult content must verify users’ ages through credit cards, IDs, or facial scans. Privacy experts warn this erases online anonymity and creates new black markets for leaked ID data.
EU – Chat Control:
Planned regulation forcing providers like WhatsApp, Signal, and Telegram to scan messages for “illegal content.” Encryption? Broken. Privacy? Gone. Critics call it the largest mass surveillance proposal in EU history.
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💀 The Illusion of Consent
Users think they choose. In truth, choice is engineered away.
Concert tickets require an app.
Government services demand a digital ID.
Messaging friends or buying groceries means surrendering your metadata.
Even opting out becomes suspicious behavior in data-driven societies.
And what do companies say?
> “We use your data to improve your experience.”
Translation: We package, profile, and sell your behavior.
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⚖️ The Watchdogs Without Teeth
Data protection offices insist they act. But with limited budgets and small teams, they face trillion-dollar companies armed with armies of lawyers.
The EU can fine corporations billions, but those fines are rounding errors compared to ad revenue. In Switzerland, the maximum fine for violations is CHF 250,000, on individuals, not corporations.
For Meta or Google, that’s less than a minute of income.
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⚠️ The Real Risks
Biometrics: Unchangeable identifiers. Once leaked, permanent exposure.
Health data: Valuable to insurers and employers.
Financial data: Used for credit profiling or “dynamic pricing” — wealthier users see higher prices.
Behavioral data: Predicts decisions before you make them, shaping feeds, ads, and even politics.
As Zürich’s privacy commissioner Dominika Blonski warns, “The public can still decide, but only within a system that punishes saying no.”
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🧠 The Human Cost
Privacy isn’t about hiding secrets. It’s about control.
When algorithms define identity, when AI models train on your unspoken words, when your every digital move becomes prediction fodder ,autonomy collapses.
Even “privacy tools” aren’t safe: VPNs sell logs, browsers inject telemetry, and “secure” apps use opaque SDKs. It’s a market of trust theater, not protection.
We live in a feedback loop of surveillance:
Data collection feeds AI → AI increases profiling → profiling drives revenue → revenue funds more data collection.
No endpoint. No consent.
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🧩 The Last Line of Defense
True privacy now requires inconvenience:
Paid, open-source services.
Minimal digital footprints.
Refusing app logins where possible.
Using burner accounts, hardware encryption, and offline alternatives.
But as society digitizes everything, banking, mobility, identity, offline life becomes exclusion. “Opting out” means being left behind.
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🔥 The Verdict
We are witnessing the death of privacy by a thousand apps.
A world where your habits, emotions, and biometrics are monetized, shared, and stored indefinitely. Where convenience outweighs rights, and silence equals consent.
If you think you have nothing to hide, remember:
You’re not protecting secrets. You’re protecting freedom from being defined by machines and markets.
Privacy isn’t outdated.
It’s under attack.
And if we don’t defend it, it won’t come back.
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