Quantum Shelf Life

THE TEST THAT DOES NOT DEPEND ON PREDICTING THE FUTURE: if your data must stay secret for longer than it will take you to protect it, the exposure already exists.

Quadrant Two // When Agents Rule

Quantum Shelf Life

Enter how long one class of data must stay confidential and how long your migration will take. Get your protection margin in years, the latest year you can still start, and whether the exposure already exists.

The test, Chapter 2 Protection margin = years until a capable quantum computer, minus the years your data must stay confidential, minus the years your migration will take
1 data class per run 3 minutes 5 quantum dates tested 0 fields sent anywhere
It does not ask you to predict when quantum computers arrive. Chapter 2 records the CFO objection in full: a timeline nobody can predict, for a threat that might never materialise. A calculator that answers by making you pick a date has conceded that objection. So this one tests the margin across the whole plausible range, from 2030 to 2045, and separates the data that is exposed at every single date from the data whose answer genuinely depends on the date. The first group is immune to the timeline argument. That is the group to fund.

A negative margin is different from an ordinary risk. Traffic harvested today cannot be recalled. Chapter 2 puts it plainly: there is no way to retroactively protect data that has already been captured. A negative margin cannot be closed by future effort, only limited.

Nothing you enter is transmitted or stored. Everything is computed in your browser.
1

The data

One class at a time. Chapter 2 is explicit that different data types carry completely different quantum risk.

Loaded with customer identity records as a starting point. Pick a data class below and the confidentiality requirement fills in with an illustrative figure from Chapter 2’s risk profile. Replace it with your own retention obligation, which is the only figure that will survive legal review.
years

Where does that confidentiality period come from?

The single most challenged number in this calculation. A figure taken from an actual obligation survives review. An estimate does not.

2

Your migration

How long it will take, and when you will actually begin. Both matter, and the second one more than people expect.

years
year

Where does the migration duration come from?

A duration nobody has tested is the assumption that most often turns out optimistic, because it usually excludes the vendor who has not committed to a date.

How complete is your cryptographic inventory for this data class?

You cannot migrate cryptography you have not found, and anything undiscovered extends the duration above.

3

What may already be gone

The part of this that cannot be fixed by any future migration.

year
USD
USD

Has this data class been in a known exfiltration or breach?

Chapter 2: data taken before migration cannot be encrypted again. If it is already gone, the damage is done and the investment is to prevent further damage.

4

The planning date

Used for the headline only. The result is tested across the whole plausible range regardless of what you choose.

year
year

Who approved the planning date?

Choosing a quantum date is a governance decision. A date nobody has approved is a date nobody will defend when it is challenged.

Ready.

The ask

The decision, the amount, the owner and what cannot be recovered, in the order a board wants them. Everything below is the evidence.

Protection margin

0

years

Within tolerance

The answer that does not depend on the date

The same test run across every plausible quantum date. This is the panel that answers the objection that nobody can predict the timeline.

Swipe the table sideways to see every column.

Quantum dateYears availableYears neededMarginLatest startPosition

The latest year you can still start

Exact, not estimated. Work back from the planning date through the migration and the confidentiality period.

0

latest defensible start year at your planning date

0

years of slack, or years already late

What cannot be recovered

The part of the exposure that no future migration closes.

0

years of traffic that may already be held

0

year this class stops being sensitive

What a CFO will attack, and by how much

The two inputs this tool already flags as most challenged, each solved exactly for the point at which the position clears.

0

longest confidentiality period that still clears, against the figure you entered

0

longest migration that still clears, against the figure you entered

The price of another year

Chapter 2’s timeline paradox: a fixed deadline forces action, an uncertain one permits delay. This is what each further year of delay costs.

Swipe the table sideways to see every column.

DelayStartMarginPosition

Do your own answers agree with each other?

Individually plausible inputs can still contradict one another. These are the contradictions a reviewer finds first, and they are checked across fields rather than one at a time.

Confidence in this reading

Graded on the four inputs that decide whether the number survives challenge, not on how comfortable the answer is.

A

Evidenced

    The reading a sceptic would take

    Earliest plausible quantum date, and every unproven duration extended. This is the number to present.

    0

    challenged protection margin, in years

    0

    challenged latest start year

    The conversation Chapter 2 records

    Marcus Webb had this exchange with his CFO and it went badly. These are the three reframes the chapter gives, populated with your own figures.

    You want me to approve twenty million dollars over five years to protect against computers that don’t exist yet, based on a timeline that nobody can predict, for a threat that might never materialize?

    When Agents Rule, Chapter 2

    The threat has already materialised

    The investment is not wasted in the best case

    The requirement is arriving anyway

    Board paper

    Written to be pasted into a board or risk committee paper without editing. Replace the bracketed fields before circulating.

    Turn the margin into a programme

    One data class is a finding. These instruments take it across the estate.

    Find what protects it

    The Cryptographic Census workbook inventories every cryptographic dependency, scores quantum exposure using this same margin arithmetic, and assigns each asset to a migration wave you can defend. It carries the shelf life test for every major data class in one sheet.

    Get the workbook

    Fix the vendor constraint

    Your migration duration is capped by your slowest critical vendor. The Vendor Post Quantum Readiness Questionnaire extracts dated commitments rather than roadmaps, with a weighted scoring rubric and the red flags that override the score.

    Get the questionnaire

    Understand the countdown

    Chapter 2 sets out the harvest now, decrypt later threat and the timeline paradox. Chapter 6 covers the architecture. Chapter 11 builds the quantum economics a CFO will fund, and Chapter 13 works the five year migration programme.

    Get the book

    The deadline was yesterday

    Every day of delay accumulates debt that compounds faster than you can repay it.

    About this calculator. The shelf life test is set out in When Agents Rule by Steven Oppenheim, Chapter 2, and applied across the estate in the Cryptographic Census workbook in the companion toolkit. This tool is a modelling instrument, not an audit, a prediction or a benchmark, and it reflects the figures you enter. The confidentiality periods offered as presets are illustrative starting points drawn from the risk profile in Chapter 2 and are not legal advice on retention. Quantum planning dates are a governance judgement, not a forecast: published assessments vary widely and the tool deliberately reports across a range rather than asserting one date. Nothing you enter leaves your browser: there is no account, no transmission and no storage. This is not legal, technical, cryptographic or financial advice, and it is not a substitute for qualified counsel or your own cryptographic assessment.