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Start with a readiness sprint.

Two weeks, a fixed fee, and a clear answer to the first question every board asks: where are we exposed, and what do we fix first?

From kickoff to findings
2 weeks
From kickoff to findings
Agreed before we start
Fixed fee
Agreed before we start
Ranked, with owners
10 priorities
Ranked, with owners

What you get

Three things, ready for the board.

  1. 01

    Exposure heatmap

    Where quantum-vulnerable cryptography sits across your estate, at a glance.

  2. 02

    Mosca analysis

    X + Y against Z for every data class you hold, so you know which data is already at risk.

  3. 03

    Top-ten priorities

    The first ten things to fix, in order, ready to take to the board.

What the sprint covers

Stage 01 of the method: Assess.

Know your exposure, by data class.

  • Six-dimension readiness scan
  • Mosca analysis (X + Y vs Z) for every data class
  • Gap analysis against DORA, NIST and EU guidance

Try it first

Run Mosca’s test before you call.

If X + Y is greater than Z, that data is already exposed. The sprint runs this for every data class you hold.

Start from a data class
10yrs

How long this data must stay confidential.

6yrs

How long it will take to move the systems protecting it to post-quantum cryptography.

12yrs

Your assumption for when a cryptographically relevant quantum computer exists. Estimates vary widely.

X + Y > Z/16 vs 12 years

Exposed. Data encrypted before migration ends could be read for up to 4 years while it must still be secret.

Y · migrate
X · must stay secret
Z · 2038
Today2031203620412046
Migration takes 6 years, the data must stay confidential for a further 10 years, and the assumed quantum threat arrives in 12 years.

A readiness sprint replaces these assumptions with your real data classes and systems.

Start with a readiness sprint

Illustrative model based on Mosca's theorem. Not advice.

Why now

Security is moving from retrofit to mandatory spend.

  • PQC

    2035

    Standards deadline

    NIST finalised its first post-quantum standards in 2024 and targets removal of quantum-vulnerable algorithms by 2035, with earlier action for high-risk systems.

    Source: NIST

  • AI

    89%

    Enterprise AI adoption

    The share of enterprises now using AI, up from 55% in 2023.

    Source: McKinsey, The state of AI in 2026

  • Risk

    $4.99M

    Average breach cost

    A record, up 12% year on year. AI-enabled breaches average about $6M.

    Source: IBM, Cost of a Data Breach 2026

How to engage

Start small. Expand on evidence.

Most clients begin with a two-week readiness sprint and decide what comes next with the results in hand.

  1. 01

    Readiness sprint

    A fixed-fee, two-week sprint: an exposure heatmap, a Mosca analysis and your top ten priorities.

    About the readiness sprint
  2. 02

    Pilot

    A scoped discovery or secure-AI pilot with named senior leads and a weekly delivery cadence.

  3. 03

    Partner

    An ongoing advisory and migration programme, led by the same senior people who ran the sprint.

Two weeks from now, you could know.

Most clients decide what comes next with the results in hand: a scoped pilot, or an ongoing programme.