The quantum warning, and the readiness gap behind it
The security industry has been saying for years that quantum computing will eventually break the public-key encryption underpinning most digital trust. Thales is now pressing that message harder. It argues that quantum risk is real, that today's encryption will eventually fail, and that organizations should start work on post-quantum cryptography (PQC), cryptographic agility, and overall readiness now rather than waiting for a working quantum machine 1.
The more revealing story sits in Thales's own research. Its 2026 Data Threat / Quantum & AI Threat Report, which underpins the product announcements at its Cyber Summit, surveyed 3,120 security professionals 2. Sixty-one percent named "harvest now, decrypt later" (HNDL) as their top quantum concern 2. Yet only 59% said they have even begun prototyping post-quantum cryptography, which leaves roughly 40% of organizations without meaningful preparation 2.
Why "harvest now, decrypt later" changes the timeline
HNDL explains why the urgency is about more than a far-off "Q-Day." An adversary does not need a quantum computer today to cause damage later. Encrypted traffic and stored data can be collected now and decrypted once sufficiently capable hardware exists. For data that must stay confidential for a decade or longer, such as health records, intellectual property, government communications, and long-lived credentials, the exposure window has effectively already opened.
The report adds that estimates of how many qubits Shor's algorithm would need to break current public-key schemes keep shrinking 2. That matters because it pulls the threat horizon closer without anyone building a dramatically larger machine. Better algorithms and error-correction techniques can lower the bar on their own. Thales's emphasis on cryptographic agility, the ability to swap algorithms without re-architecting systems, follows from this 1. If the timeline is uncertain and moving in the wrong direction, the practical defense is infrastructure that can change quickly.
AI and cloud: risks already in hand
The same research frames AI not as an emerging concern but as one already causing damage. Fifty-nine percent of respondents reported suffering deepfake attacks, and just 3% said they had experienced no harm from AI-generated threats 2. Cloud remains the top attack surface, yet only 47% of sensitive cloud data is encrypted 2.
That last figure deserves attention alongside the quantum numbers. Quantum-safe migration assumes that sensitive data is encrypted in the first place. If more than half of sensitive cloud data lacks even classical encryption, then for many organizations the immediate problem is basic data protection, not which lattice-based algorithm to adopt. An attacker who can read plaintext today has no need to harvest ciphertext for tomorrow.
Reading the vendor signal
The messenger here is not a neutral party. Thales sells hardware security modules and encryption products, and the HNDL urgency in its messaging is the same threat it positions its new Luna 8 product against 2. Coverage of the launch tends to amplify the urgency and skip the less flattering data point: a large share of the market has not started the work the vendor says is essential 2.
That does not undercut the argument. If anything, the readiness gap supports Thales's case more convincingly than its marketing does. When 61% of security professionals rank HNDL as their leading quantum worry but around 40% have taken no concrete PQC steps, the industry is not short on awareness. What lags is execution, through budgeting, inventorying where cryptography lives, and testing replacements in real systems.
What this means in practice
The takeaway, as I read it, is that post-quantum readiness should be treated as a long migration rather than a product purchase. Several steps follow from the data:
- Inventory first. Organizations cannot migrate cryptography they have not located, and agility depends on knowing where algorithms are hard-coded 1.
- Prioritize long-lived data. HNDL risk is concentrated in information that must stay secret for years, so that data deserves the earliest attention 2.
- Fix the classical gaps. With only 47% of sensitive cloud data encrypted, many teams have more basic problems to close first 2.
- Start prototyping. The 59% already experimenting with PQC will be better placed to adopt standards smoothly than those still waiting 2.
Quantum computers capable of breaking today's encryption may still be years away, and nobody can say exactly when. The distance between how worried organizations say they are and what they have actually done is measurable now. Closing that distance, more than any single vendor launch, will decide who is ready.
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