I write I cast I base post
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Imagine adding a watermark to an image you can’t even see to prove ownership or authenticity without changing the image. That’s what @zama is doing with Fully Homomorphic Encryption (FHE). They’ve built a way to invisibly watermark encrypted images embedding traceability directly into data that never leaves its encrypted state. This means: ~Privacy stays intact: no need to expose sensitive content ~Ownership is provable: creators can claim their work securely ~Authenticity is verifiable: spot fakes, edits, or tampering instantly Zama challenged the dev community to push this frontier using Concrete ML, their confidential AI framework because this tech isn’t just about watermarking. It’s about building trust in the AI era without sacrificing privacy. Check out how it works (with code, architecture & demo): [https://zama.ai/post/encrypted-image-watermarking-using-fully-homomorphic-encryption](https://zama.ai/post/encrypted-image-watermarking-using-fully-homomorphic-encryption) #ZamaCreatorProgram
The #ZamaCreatorProgram Season 3 is coming to an end. I made a video explaining in detailed summary all you need to know about what @zama is building. Pls like, recast and tag zama in the comments 🫶🏽 gZama 💛
What app do you think I opened first?
. Zama Other FHE Secure ✅ ✅ Decentralized ✅ ✅ Verifiable ✅ ✅ Composable ✅ ✅ Scalable ✅ ❌ Easy to use ✅ ❌ FHE used to be slow, limited and far from developer-friendly. Then the team at @zama spent the last 5 years solving this problem. Today, Zama’s FHE runs over 100x faster, works with familiar languages like Solidity and Python, and can power almost any onchain application. The best part is, zama is built to withstand quantum attacks which means whatever you encrypt today and put onchain is safe in the future.