Quantum Risk Assessment#

The ‘Harvest Now, Decrypt Later’ threat, migration timelines, DORA compliance, and building a quantum-readiness roadmap for your organization.

Quantum risk assessment is the process of evaluating an organization’s exposure to the quantum computing threat and developing a migration plan to post-quantum cryptography. This is not a theoretical exercise: data encrypted today with RSA or ECDH can be recorded by adversaries and decrypted once a cryptographically relevant quantum computer (CRQC) becomes available.

The Harvest Now, Decrypt Later (HNDL) Threat#

The most immediate quantum risk is not a future attack on a future system. It is a present-day attack on present-day data:

  1. An adversary intercepts encrypted communications today (TLS, VPN, email)

  2. The adversary stores the encrypted data

  3. Years later, a CRQC becomes available

  4. The adversary decrypts the stored data

This attack is already feasible. Nation-states have the storage capacity and strategic motivation to collect encrypted traffic at scale. The question is not whether HNDL collection is happening, but how much data is being collected.

The Mosca Inequality#

Michele Mosca formalized the HNDL risk with a simple inequality:

\[x + y > z \implies \text{you need to act now}\]

Where:

  • \(x\) = shelf life of the data (how long the data must remain confidential)

  • \(y\) = migration time (how long it takes to deploy PQC across your systems)

  • \(z\) = time until a CRQC exists

If \(x + y > z\), your data will be at risk before you can protect it.

Example

A government agency has classified documents with a 30-year shelf life (\(x = 30\)). Migrating their systems to PQC will take 5 years (\(y = 5\)). If a CRQC arrives in 2040 (\(z = 14\) years from 2026), then \(x + y = 35 > 14 = z\). They needed to start migrating 21 years ago. In practice, they need to start now.

Data Shelf Life by Sector#

Sector

Typical Data Shelf Life

HNDL Risk

Intelligence / military

50+ years

Critical

Healthcare (patient records)

20-50 years

High

Financial (transactions)

7-25 years

High

Legal (contracts, IP)

10-30 years

High

Government (policy, diplomatic)

25-75 years

Critical

Retail (customer data)

2-7 years

Moderate

Social media (messages)

1-5 years

Low-Moderate

Conducting a Quantum Risk Assessment#

A structured risk assessment follows five phases:

Phase 1: Cryptographic Inventory#

Catalog every cryptographic asset in your organization:

What to inventory:

  • TLS certificates and their algorithms (RSA, ECDSA)

  • VPN configurations (IKEv2 key exchange algorithms)

  • SSH keys (RSA, ECDSA, Ed25519)

  • Code signing certificates

  • API authentication tokens (JWT signing algorithms)

  • Database encryption (at-rest key types)

  • Email encryption (S/MIME, PGP key types)

  • Hardware security modules (HSM firmware, supported algorithms)

  • IoT device firmware (embedded cryptographic libraries)

For each asset, record:

  • Algorithm and key size

  • Library/implementation

  • Certificate validity period

  • Data protection duration requirement

  • Renewal/rotation schedule

  • Migration complexity (easy/medium/hard)

Automated Discovery

Tools like Cryptosense, IBM’s Quantum Safe Explorer, and open-source scanners can automate cryptographic inventory across codebases and network configurations.

Phase 2: Risk Scoring#

For each cryptographic asset, calculate a risk score:

\[\text{Risk} = \text{Impact} \times \text{Likelihood} \times \text{Exposure}\]

Where:

  • Impact (1-5): Consequence of the asset being compromised

  • Likelihood (1-5): Probability based on Mosca inequality and data shelf life

  • Exposure (1-5): Accessibility of the encrypted data to adversaries (internet-facing = 5, air-gapped = 1)

Risk Score

Priority

Action

75-125

Critical

Migrate immediately

40-74

High

Migrate within 12 months

15-39

Medium

Plan migration, execute within 24 months

1-14

Low

Monitor, include in next refresh cycle

Phase 3: Architecture Analysis#

Assess the migration complexity for each system:

Easy migration (drop-in replacement):

  • TLS 1.3 with hybrid key exchange (browser support already exists)

  • SSH with hybrid key exchange (OpenSSH 9.0+ supports ML-KEM)

  • Code signing with ML-DSA (if toolchain supports it)

Medium migration (protocol changes required):

  • VPN reconfiguration (IKEv2 with PQC key exchange)

  • Database re-encryption with PQC-wrapped keys

  • JWT signing algorithm update (requires coordinated rollout)

Hard migration (system redesign):

  • HSM firmware updates (hardware vendor dependency)

  • IoT device firmware (may require physical access)

  • Legacy systems with no vendor support for PQC

  • Custom protocols with hardcoded algorithm choices

Phase 4: Migration Roadmap#

Based on risk scores and migration complexity, build a phased roadmap:

Phase

Timeline

Focus

Success Criteria

Immediate

Now

Enable hybrid TLS on internet-facing services

All public endpoints support X25519+ML-KEM-768

Short-term

0-12 months

Migrate highest-risk internal systems

Critical-risk assets at 0

Medium-term

12-24 months

Enterprise-wide PQC deployment

High-risk assets at 0

Long-term

24-36 months

Legacy system migration, HSM updates

Full PQC coverage

Ongoing

Continuous

Monitor cryptanalysis developments

Algorithm agility in place

Phase 5: Algorithm Agility#

The most important long-term investment is crypto-agility: the ability to swap cryptographic algorithms without redesigning systems.

Design principles:

  • Abstract cryptographic operations behind interfaces (do not hardcode algorithm choices)

  • Store algorithm identifiers alongside encrypted data (so you know how to decrypt it later)

  • Plan for algorithm deprecation and rotation

  • Test PQC algorithms in staging before production deployment

Lesson from SIKE

In 2022, SIKE (an isogeny-based KEM that was a NIST Round 4 candidate) was completely broken by a classical attack. Organizations that had begun early adoption of SIKE needed to quickly pivot. Crypto-agility makes this pivot manageable rather than catastrophic.

Regulatory Landscape#

DORA (EU Digital Operational Resilience Act)#

Effective July 2025, DORA applies to all EU financial entities (banks, insurance, investment firms, payment providers, crypto-asset service providers).

Relevant articles for quantum risk:

Article

Requirement

Quantum Implication

Art. 6.1

Document encryption policies for data at rest, in transit, and in use

Must document current algorithms and PQC migration plan

Art. 6.4

Periodic updates to cryptographic measures based on developments in cryptanalysis

Quantum computing progress triggers mandatory review

Art. 7

Full key lifecycle management

PQC keys need the same governance as classical keys

Art. 50

Non-compliance penalties up to 2% of global annual turnover

Financial motivation to act

DORA does not mandate PQC specifically, but Article 6.4’s requirement to update cryptography based on “developments in cryptanalysis” is widely interpreted to include the quantum threat. Regulators will increasingly expect documented quantum risk assessments.

NSA CNSA 2.0 (United States)#

The NSA’s Commercial National Security Algorithm Suite 2.0 sets timelines for US national security systems:

Capability

Required Algorithm

Deadline

Software/firmware signing

ML-DSA or SLH-DSA

2025

Web browsers/servers

ML-KEM + ML-DSA

2025

Traditional networking (VPN, routers)

ML-KEM + ML-DSA

2026

Operating systems

ML-KEM + ML-DSA

2027

Custom/legacy applications

ML-KEM + ML-DSA

2030

Niche equipment (IoT, embedded)

ML-KEM + ML-DSA

2033

Other Regulations#

Regulation

Jurisdiction

Quantum Relevance

NIS2 Directive

EU

Requires “state of the art” encryption

GDPR Art. 32

EU

“Appropriate technical measures” for data protection

UK Cyber Security Strategy

UK

Calls for “quantum-safe” by 2035

NIST SP 800-131A Rev 2

US

Transitions algorithms; PQC update expected

BSI TR-02102-1

Germany

Recommends hybrid PQC from 2025

Cost of Migration#

Migration costs vary by organization size and complexity:

Component

Small Org

Enterprise

Cryptographic inventory

\(10K-\)50K

\(100K-\)500K

Risk assessment

\(5K-\)25K

\(50K-\)200K

Library/SDK updates

\(20K-\)100K

\(200K-\)1M

Testing and validation

\(10K-\)50K

\(100K-\)500K

HSM firmware updates

\(5K-\)25K

\(50K-\)500K

FIPS 140-3 validation (optional)

N/A

\(80K-\)150K per module

Training and documentation

\(5K-\)20K

\(50K-\)200K

Total

\(55K-\)270K

\(630K-\)3M+

The cost of not migrating is harder to quantify but potentially unbounded: a single compromise of quantum-vulnerable long-term secrets could result in regulatory fines, litigation, loss of competitive advantage, or national security damage.

Quick-Start Checklist#

For organizations beginning their quantum risk journey:

  • Identify your most sensitive long-lived data (shelf life > 10 years)

  • Calculate your Mosca inequality (\(x + y\) vs. estimated \(z\))

  • Run a cryptographic inventory (even a partial one is valuable)

  • Enable hybrid TLS on public-facing services (Chrome/Firefox already support it)

  • Test ML-KEM and ML-DSA in a non-production environment

  • Document your current encryption posture for DORA/NIS2 compliance

  • Establish a crypto-agility roadmap for the next 3 years

  • Brief executive leadership on the quantum risk (budget allocation requires awareness)

Further Reading#