This work suggests a path toward accelerating cryptographic research: as agents automate the proof-engineering burden, cryptographers can iterate more quickly on new constructions, obtain machine-checked assurance earlier, and bring trustworthy protocols from design to deployment faster.
Abstract
Cryptographic proofs are produced at a scale that increasingly exceeds the community's ability to verify them manually. Machine-checked proofs offer a path toward scalable proof verification, but writing proof scripts for expressive proof assistants such as EasyCrypt remains a major bottleneck: even when the high-level proof plan is known, converting it into proof tactics requires substantial reasoning effort. This paper presents ShannonProver, an agentic framework for automating cryptographic proofs. ShannonProver targets the setting in which a cryptographer provides the security model and a decomposition of the target theorem into lemma-level proof obligations, while the system automatically constructs EasyCrypt proof scripts for those obligations. We evaluate ShannonProver on a dataset of formal cryptographic proofs in EasyCrypt. The dataset spans textbook primitives, deployed protocols, and standardization efforts such as NIST proposals, and includes expert case studies drawn from a corpus that has not previously been available online. We show that ShannonProver can automate substantial portions of cryptographic proof engineering for case studies such as ChaChaPoly1305 and MEE-CBC. More broadly, this work suggests a path toward accelerating cryptographic research: as agents automate the proof-engineering burden, cryptographers can iterate more quickly on new constructions, obtain machine-checked assurance earlier, and bring trustworthy protocols from design to deployment faster.
An AI-based system that synthesizes internal specifications and Verus-checked proofs from high-level API contracts, CryptoProver, which constructs a new independent proof of curve25519-dalek and verifies RustCrypto's previously unverified chacha20 implementation against an RFC 8439 specification.
Chu-Yue Sun, S. Fong, Zhi-Yi Kuang et al.· 0 citations
Pistis is introduced, an agentic, oracle-guided proof search that produces formal Lean proofs that satisfy faithfulness conditions and can accept or refute natural language proofs written by humans or AI, demonstrating that faithful formalization is useful as a proof-checking tool.
Tadd Mao, Tianjun Zhong, Dhruva Arekar et al.· 1 citation
The starting insight of Spain is that since numerical computations inherently have approximation error, the constraint formalism should likewise allow for approximate satisfiability, and this paper introduces a new proof protocol and new ways to translate computations to constraints.
Zachary DeStefano, N. Golub, Zile Huang et al.· IACR Cryptology ePrint Archi...· 0 citations
This paper introduces a proof term calculus with dedicated features for bounds, for which an elaborator can automatically infer bound-related manipulations, improving usability and reducing user inputs, and theoretically argues for its usability through an erasability theorem.
SymCert is presented, a framework implemented in Lean for building verified SMT-based analyses of Cedar policies that provide a verified symbolic compiler and authorizer for reducing policies to SMT formulas, a hierarchy enforcer for ensuring well-formedness of counterexamples, and a counterex-ample extractor for provi...
It is concluded that foundational mechanized proofs can now be bought at the price of tokens, and that this shift can reshape how verification frameworks are architected.