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Security engineers working on open source verifiable confidential compute. Sharing design notes, failures, and lessons learned.
Websitehttps://caution.co
Verifiable AI inference (live demo)https://chat.caution.dev/
Verifiable compute made simple (blog)https://caution.co/blog/introducing-caution.html

Trust is not a security property. It’s what systems fall back to when verification is impossible.

Most software still works this way, but regulatory frameworks are shifting expectations toward traceability and transparency, not just security claims.

We wrote about what changes when systems become verifiable: https://caution.co/blog/on-transparency.html

#SelfPromo #Security #VerifiableCompute #ConfidentialCompute

Verify, don't trust

We've built an entire digital world on blind trust. That's not a security model, it's the absence of one.

Caution

The bare minimum for running security critical services is multi-party verified deterministic builds running on remotely attestable enclaves.

My teammates and I at Distrust have been helping teams architect and build this way for 5+ years now.

It was tough watching people repeatedly struggle to do everything from zero.

So we built the first 100% FOSS general purpose verifiable compute platform: Caution.

For prioritized early access join #caution-platform:matrix.org

https://caution.co

Verifiable Compute Platform

Caution is the generalized verifiable compute platform. Deploy to TEEs in minutes and let anyone verify exactly what's running.

Caution

Secure enclaves are still underused, and many #confidentialcompute deployments amount to security theater.

Most platforms can attest that something hasn’t changed, but not what code is actually running, since PCRs can’t usually be reproduced from source.

Relying on a single vendor’s attestation engine also creates a real single point of failure.

Isolation and attestation without reproducibility or platform diversity isn’t sufficient for high-security systems.

#verifiablecompute #security