FractalAI Blog
Practical guides on post-quantum cryptography and verifiable AI. Every claim is honest; every article links to something you can try in 30 seconds.
How to prove where an AI model's training actually came from
You can ship a model, but can you prove what data trained it, that the run happened, and that the record was not edited? A practical look at training provenance.
Post-quantum key exchange with Kyber (ML-KEM): a developer intro
Signatures protect integrity; key exchange protects confidentiality. Why ML-KEM (Kyber, FIPS 203) matters for harvest-now-decrypt-later, and how to use it.
Why autonomous AI agents need a tamper-evident black box
When an AI agent acts on its own, "trust me, it decided X" is not an audit trail. How to keep a signed, chained, tamper-evident record of every agent decision.
Verifiable randomness: combining drand with post-quantum signatures
How to build randomness anyone can verify was not rigged, using a public beacon plus a quantum-safe signature � for draws, airdrops and fair sequencing.
Post-quantum signatures for Ethereum developers: a practical intro
Why ECDSA is on borrowed time, what NIST FIPS 204 (Dilithium) means for your app, and how to add post-quantum signing in minutes.
Verifiable AI and the EU AI Act: proving what your AI decided
EU AI Act Article 12 requires decision logs for high-risk AI. Your own logs are editable. Here is how to make AI decisions tamper-evident and quantum-safe.
Provably-fair draws without an expensive on-chain VRF
Run a raffle, airdrop or allocation that anyone can verify was not rigged — using a public future randomness beacon + a post-quantum signature, off-chain, $0 gas.