Every fintech runs on public-key cryptography. TLS on every API call, signatures on every transaction, key exchange in every mobile session — all of it rests on mathematical problems that classical computers cannot solve in reasonable time.
A sufficiently large quantum computer can. Shor’s algorithm breaks RSA and elliptic-curve cryptography outright, and while nobody knows when such a machine will exist, one risk is already present tense: harvest now, decrypt later. An attacker who records your encrypted traffic today can simply wait and decrypt it once the hardware catches up. For financial data with a shelf life of a decade or more, that changes the timeline completely.
The real question is not “when will quantum computers arrive?” but “how long must my data stay secret?” If the answer is longer than the migration will take, the work starts now.
The standards are already here
In 2024, NIST finalised its first post-quantum standards, and the ecosystem has been moving ever since:
- ML-KEM (FIPS 203, formerly Kyber) — key encapsulation, the replacement for today’s key exchange.
- ML-DSA (FIPS 204, formerly Dilithium) — general-purpose digital signatures.
- SLH-DSA (FIPS 205, formerly SPHINCS+) — conservative, hash-based signatures for high-assurance cases.
Major browsers, cloud providers and TLS libraries already support hybrid key exchange — classical and post-quantum combined — so a weakness in either scheme still leaves the channel safe. EU guidance is moving in the same direction, and under DORA, cryptographic risk sits squarely inside ICT risk management.
Step one: build a cryptographic inventory
You cannot migrate what you cannot see. Map where cryptography actually lives in your stack: TLS endpoints, JWTs and API tokens, database and disk encryption, HSMs, code signing, and the SDKs your vendors ship. Even a simple scan is revealing:
# What key exchange and signature algorithm is this endpoint using?
openssl s_client -connect api.example.com:443 -brief
# Inventory certificate signature algorithms across your estate
openssl x509 -in cert.pem -noout -text | grep "Signature Algorithm"
The output of this exercise is a cryptographic bill of materials (CBOM): every algorithm, key length, protocol and library version, mapped to the systems that use it and the data it protects.
Step two: prioritise by data lifetime
Not everything moves at once. Rank systems with Mosca’s inequality in mind — if how long the data must stay secret plus how long migration takes exceeds time until a cryptographically relevant quantum computer, you are already late for that system.
- First: long-lived secrets in transit — customer PII, transaction archives, anything crossing networks you do not control.
- Next: signatures on long-lived artefacts — contracts, software updates, audit trails.
- Last: short-lived session data that loses its value in minutes.
Step three: make cryptography replaceable
The lasting lesson of this migration is crypto-agility. Never hard-code an algorithm again: centralise cryptographic choices behind a single interface or configuration layer, so the next transition is a config change rather than a two-year programme.
A realistic timeline for a mid-size fintech
- This quarter — build the inventory and CBOM; give the migration an owner.
- Within a year — enable hybrid TLS on external endpoints; write PQC requirements into vendor contracts.
- Years 1–3 — migrate internal services and long-lived signatures as library support matures.
None of this requires a quantum physicist on staff. It requires the same discipline as any large infrastructure migration: visibility, prioritisation, and starting before the deadline is visible.
Where Educatifu fits
We help fintechs and financial institutions run exactly this process — cryptographic inventories, quantum-risk assessments and pragmatic migration roadmaps aligned with NIST and EU guidance. If “harvest now, decrypt later” made you think of one specific system, get in touch — that instinct is usually right.