Post-Quantum: What to do today (without panicking)
Security · 1 min
Articles by Luís Carvalho
The new NIST post-quantum standards are now defined. Learn about the steps organizations can start preparing today for a secure and gradual transition.

TL;DR
- ML-KEM and ML-DSA integrate the new post-quantum standards published by NIST
- The first step is to identify where cryptography is used within the organization
- Hybrid architectures facilitate a gradual transition between classical and post-quantum algorithms
- Data with long-term confidentiality requirements should be considered a priority
Why preparation should start now
Quantum computing does not yet pose an immediate threat to most current systems. However, concern is growing about the Harvest Now, Decrypt Later model, where information encrypted today can be stored for future decryption when sufficient quantum capabilities exist. For this reason, organizations handling sensitive information with long-term confidentiality requirements should begin planning the transition.
A pragmatic roadmap
A structured approach can start with creating an inventory of cryptographic mechanisms used, followed by classifying systems according to risk and information criticality. Subsequently, [hybrid architectures](/en/solutions/cloud) combining classical and post-quantum algorithms can be adopted, preparing a gradual migration of the most critical infrastructures.
What to avoid
Among the most common mistakes are ignoring systems with very long lifecycles, such as industrial equipment or [IoT devices](/en/blog/5g-privado-e-wi-fi-7-quando-faz-sentido-cada-tecnologia), and treating post-quantum preparation exclusively as a technological project. In practice, it is a [risk management initiative](/en/blog/navegar-na-complexidade-gestao-de-riscos-na-supply-chain-digital) that should involve different areas of the organization.
Crypto-inventory in 3 weeks
We know where all your cryptography is — and what to risk.
Related
- Post-Quantum Readiness
- Network Security & Zero Trust
- Confidential Computing