What Are the Emerging Use Cases for Zero-Knowledge Infrastructure?
Zero-knowledge proofs are not only useful for application-layer privacy. Verifiable computation extends the ZKP model beyond blockchains: any party that outsources computation to an untrusted server can receive a proof that the computation was performed correctly, without re-running it. This enables trustless ML inference (proving that a model with known weights produced a given output), privacy-preserving data pipelines, and auditable off-chain processes.
Decentralized identity (Zero-Trace Authentication or ZK-DID) allows selective disclosure of credential attributes. A user can prove they satisfy an age requirement derived from a government-issued credential without revealing their birthdate, name, or any other attribute - and without the verifier being able to link two separate proofs to the same individual. This pattern is cryptographically unlinkable, as opposed to the pseudonymous-at-best privacy of current on-chain identity schemes.
How Does the Post-Quantum Era Affect the ZK Setup?
Shor's algorithm, running on a sufficiently powerful quantum computer, solves the discrete logarithm problem in polynomial time. This means it can recover a private key from a public key and break any cryptographic system whose security depends on the hardness of this problem.
