the math break · cryptographic risk audits

AI is solving math’s hardest problems. Blockchains rest on one.

Every blockchain key is safe only while one math problem stays unsolved, and nobody has proven it can’t be. AI is now disproving 80-year-old conjectures. We find where your math assumptions are weak, how hard each would be to replace, and what to fix first.

clock running

Until RSA and elliptic-curve signatures would be disallowed

—days
—hours
—min
—sec

NIST IR 8547 (draft, 2024) proposes disallowing quantum-vulnerable public-key algorithms after 2035. Most systems need years to migrate.

01 · the threat

The threat: AI is on a run

Cryptography rests on problems everyone believes are hard, such as factoring large numbers or finding a private key from a public one. None of those beliefs is proven. They hold because no one has found a faster algorithm yet.

Since 2022, AI systems have started finding new algorithms and new mathematics. In 2026 they began producing results working mathematicians call significant, and the field is now debating how to verify them.

None of this has broken real-world cryptography: as of October 2026 we found no published machine-learning attack on standard post-quantum parameters. But the work that would break them is exactly the work AI is getting better at.

  1. 2022

    AlphaTensor finds new algorithms

    DeepMind’s system discovered matrix-multiplication methods faster than the best known human ones for some sizes.

    AI inventing algorithms, the core of cryptanalysis

  2. 2022

    SALSA attacks lattice cryptography

    Researchers used transformers to recover secret keys from lattice-based schemes, at small, non-standard parameters.

    lattices underpin the new post-quantum standards

  3. 2023

    FunSearch makes new discoveries

    An AI-guided search found cap-set constructions larger than any previously known: new mathematics, not recall.

    results humans hadn’t found

  4. 2024

    AlphaProof reaches olympiad level

    AlphaProof and AlphaGeometry 2 scored at silver-medal standard at the International Mathematical Olympiad, with machine-checked proofs.

    rigorous, verifiable reasoning

  5. 2025

    AlphaEvolve beats a 1969 record

    It multiplied 4×4 complex matrices with 48 multiplications, improving on Strassen’s 49 from 1969.

    a 56-year-old record fell to an AI agent

  6. 2025

    Gold at the Olympiad

    AI systems reached gold-medal level at the International Mathematical Olympiad.

    top-human problem solving

  7. 2026

    An 80-year-old conjecture falls

    In May, an internal OpenAI model disproved Erdős’s 1946 unit-distance conjecture. Mathematicians including Noga Alon and Tim Gowers verified and simplified the proof, and Google DeepMind reported resolving nine more open Erdős problems that month.

    results mathematicians call significant

  8. 2026

    A Millennium Prize problem, contested

    In September, OpenAI announced a blow-up result for the Navier–Stokes equations with smooth forcing, backed by a Lean formalization. Whether it settles the prize problem is disputed, and 25 Fields Medalists, including Terence Tao, warned against treating open problems as AI benchmarks.

    the field is arguing about how fast this is moving

  9. 2026

    Hundreds of results at once

    On October 6, OpenAI released 722 AI-written manuscripts from about 4,000 problems in pure mathematics, theoretical computer science and mathematical physics. Only about a fifth are formally checked, and three were withdrawn for errors.

    discovery at industrial scale

02 · the speed gap

Discovery is accelerating. Migration isn’t.

AI is getting faster at finding weaknesses. The infrastructure built on cryptography isn’t getting faster at changing.

time to migrate a primitive time to find and exploit a weakness exposure window past now next
Illustrative, not to scale. The shaded area is the exposure window: weaknesses get found and used faster than systems can be changed.
discovery · 2024

AI finds what people missed

Google’s Big Sleep AI agent found an exploitable memory-safety bug in SQLite that existing fuzzing had missed. In 2025 it found a flaw known only to attackers before they could use it.

reasoning · 2025

Olympiad-level mathematics

AI systems reached gold-medal level at the International Mathematical Olympiad.

migration · 25 years

One hash, a quarter century

SHA-1: first published attack 2005, first real collision 2017, NIST retirement planned for 2030.

try it · your exposure window

Default: about 9 years until NIST’s 2035 cutoff. Illustrative planning model, not a prediction.

your timeline

Start by 2029

That leaves 3 years of slack before the weakness is expected to be usable.

Nobody has shown AI breaking ECDSA or SHA-256. You don’t have to believe it will. You only have to plan for the day a weakness is found faster than you can swap.

03 · the foundation

Three assumptions hold up every crypto business

Signatures prove who authorized something. Hashes prove nothing changed. Randomness keeps secrets secret. If any one fails, the money moves.

signatures

Only the key holder can sign

ECDSA and Ed25519 authorize every withdrawal, transfer and contract call.

hashes

No two inputs share a fingerprint

SHA-256 and Keccak-256 bind blocks, addresses and documents together.

randomness

Secrets can’t be guessed

Keys and one-time nonces must come from a generator nobody can predict.

04 · the record

The math rarely breaks. The way it’s used does.

None of these were exotic breakthroughs. Every one would have shown up in an inventory of how the math was wired in.

  1. 2010

    Sony reused one ECDSA nonce

    The same random value signed every PlayStation 3 update.

    master signing key recovered

  2. 2013

    Android’s RNG repeated nonces

    A random-number bug in wallet apps produced repeated signatures.

    bitcoin stolen from phones

  3. 2017

    Infineon’s weak RSA keys (ROCA)

    Chips generated keys with hidden structure that made them factorable.

    national ID cards and TPM keys replaced

  4. 2017

    First practical SHA-1 collision

    Google and CWI produced two different files with the same SHA-1 hash.

    a trusted hash retired for good

  5. 2022

    Profanity’s 32-bit seed

    A vanity-address tool seeded keys from too little randomness.

    Wintermute lost about $160M

05 · the exposure map

Follow a transaction. Find the weak points.

Every blockchain payment passes through the same six stages. Each one rests on a different piece of math, and each fails in a different way. Pick a stage to see the exposure, the proof and the fix.

5 exposures open · 1 low risk6 of 6 addressed · roadmap delivered

exposure

Predictable randomness

A private key is just a very large random number. If the generator behind it is weak, someone else can generate the same key.

proof

Profanity, 2022

A vanity-address tool seeded keys from only 32 bits of randomness. Wintermute lost about $160M.

how we fix it

Trace every key to its source

  • Inventory each key generator, including vendor SDKs
  • Require a vetted, OS-level random source
  • Flag and rotate keys made by weak tools

06 · the deadlines

The math itself also has a clock

2024

NIST publishes its first post-quantum standards: FIPS 203, 204 and 205.

2030

NIST’s draft transition plan proposes deprecating RSA-2048 and other 112-bit-strength public-key algorithms.

2035

It proposes disallowing all quantum-vulnerable public-key algorithms, including RSA, ECDSA and EdDSA. 2035 is also the federal migration target set by NSM-10.

Source: NIST IR 8547, initial public draft (November 2024). A later NIST draft (CSWP 39) moves the 112-bit date to 2031; final dates are still being set. They apply to US federal systems and set the pace for regulated industry.

07 · the real question

How fast could you swap it out?

The same algorithm can be a ten-minute fix in one place and a multi-year migration in another.

Where the primitive livesSwap difficultyWhat a swap takes
Software libraryLowUpdate the dependency and redeploy
Upgradeable smart contractMediumA governed upgrade through the proxy
Hardware secure element or HSMHighReplace or re-provision devices
Immutable smart contractHighMove users and funds to a new contract
Customers’ own keysVery highEvery holder has to act

08 · the audit

Security teams secure systems. We audit the math underneath them.

week 1 · inventory

Find every assumption

Every signature scheme, hash, key store and random source, including the ones inside vendors and contracts.

week 2 · scoring

Rate each one

How breakable it is, including how it’s implemented, and how hard it would be to replace.

week 3 · roadmap

Plan the swap

A ranked plan to fix misuse now and rotate primitives before they fail, not after.

Sample deliverable

Primitive and useWhere it livesBreakabilitySwapPriority
ECDSA, hot-wallet signingLibrary and HSMMedium nonce source unauditedHigh1 · Fix now
RSA-2048, API certificatesLoad balancerLow today, quantum-exposedLow2 · Plan by 2030
Keccak-256, addressesImmutable contractLowVery high3 · Monitor
Ed25519, service authLibraryLowLow4 · Routine

Illustrative sample, not a client finding.

09 · engagements

Start small, go deep, stay ahead

30-day scan<$10k

Inventory plus the top risks, ranked. The fastest way to know where you stand.

full scored audit$10–25k

Every primitive scored, with a rotation roadmap your team can execute.

rotation retainerMonthly

Ongoing monitoring of new attacks and deadlines, with re-scoring as they land.

fintechs

On blockchain rails

Stablecoin issuers, cross-border settlement and tokenized assets.

crypto-native

Trust is the product

Exchanges, wallets, custody firms and DeFi protocols.

insurers and law firms

Underwriting the risk

Know the real exposure behind a policy or a case.

10 · founding clients

Three scans at case-study pricing

In exchange for an anonymized write-up. Findings are written to the standard of a forensic declaration: specific, reproducible and defensible.

who you work with

Joshua Bullock

Forensic declarations and litigation support, offensive security, and platforms built under FCRA, GLBA and DPPA.

Qualifications →