TEN (🔟/🔟) Profile picture
Jul 24 8 tweets 2 min read Read on X
welcome back to the TEE Party 🍵
today: let’s talk future

TEEs already power billions of devices - but what’s next?

we’re heading into a world of encrypted compute, sovereign AI, and programmable trust 👇 Image
confidential computing goes mainstream

more clouds are adding native TEE support (Azure, GCP, AWS)
soon, deploying privacy-preserving apps will be as easy as spinning up a VM

what TLS did for transport, TEEs will do for compute
AI + TEEs = match made in heaven

training and inference on sensitive data - without the data ever leaving a secure enclave
think:

healthcare models on patient data

personalized AI agents that don’t leak your info

federated learning with real privacy guarantees
cross-domain composability

TEEs let you bridge trust between:

- blockchains
- cloud services
- edge devices
- oracles
- APIs

the result?
programmable privacy and integrity across entire data flows - not just inside your app
TEE modular stacks are maturing

devs used to have to mess with vendor-specific SDKs and clunky tools

but frameworks like Gramine, Enarx, SCONE, and Veracruz are making it easier to write, deploy, and verify TEE-powered code

in other words: TEEs are becoming dev-friendly
regulatory pressure = tailwind

GDPR, HIPAA, enterprise compliance - all pushing for better guarantees around data access, usage, and deletion

TEEs offer provable privacy that plays well with legal requirements
expect adoption to grow fast in regulated industries
TEEs aren’t just “security features” anymore

they’re becoming a foundation for how we compute, collaborate, and trust in a global, adversarial environment

next up: how TEE-powered apps could reshape web3 UX
what more would you like to learn about TEEs?

• • •

Missing some Tweet in this thread? You can try to force a refresh
 

Keep Current with TEN (🔟/🔟)

TEN (🔟/🔟) Profile picture

Stay in touch and get notified when new unrolls are available from this author!

Read all threads

This Thread may be Removed Anytime!

PDF

Twitter may remove this content at anytime! Save it as PDF for later use!

Try unrolling a thread yourself!

how to unroll video
  1. Follow @ThreadReaderApp to mention us!

  2. From a Twitter thread mention us with a keyword "unroll"
@threadreaderapp unroll

Practice here first or read more on our help page!

Did Thread Reader help you today?

Support us! We are indie developers!


This site is made by just two indie developers on a laptop doing marketing, support and development! Read more about the story.

Become a Premium Member ($3/month or $30/year) and get exclusive features!

Become Premium

Don't want to be a Premium member but still want to support us?

Make a small donation by buying us coffee ($5) or help with server cost ($10)

Donate via Paypal

Or Donate anonymously using crypto!

Ethereum

0xfe58350B80634f60Fa6Dc149a72b4DFbc17D341E copy

Bitcoin

3ATGMxNzCUFzxpMCHL5sWSt4DVtS8UqXpi copy

Thank you for your support!

Follow Us!

:(