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Demystifying the Post-quantum Cryptography

  • Writer: Rafael Fanchini
    Rafael Fanchini
  • 24 hours ago
  • 3 min read


In recent years, the rise of quantum computing has triggered growing concern about the future of digital security. Headlines often indicate that quantum computers will eventually break today’s encryption, exposing financial systems, corporate secrets, and personal data. What is less widely understood is that the main defense being developed against that risk is not quantum technology at all. It is something called post-quantum cryptography.

 

Post-quantum cryptography refers to a new generation of encryption algorithms designed to run on conventional computers while remaining secure even in a world where large-scale quantum computers exist. In other words, the protection is classical, but it is engineered to resist attacks that future quantum machines could perform.

 

To understand why this matters, it helps to briefly look at how today’s cryptography works. Much of the security behind online banking, digital signatures, and secure communications relies on mathematical problems that are extremely difficult for classical computers to solve. Two widely used examples are Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography. These systems are safe today because breaking them would take impractical amounts of computing power.

 

However, research has shown that a sufficiently powerful quantum computer could solve some of those mathematical problems dramatically faster. A well-known quantum algorithm developed by Peter Shor demonstrates how this could happen. While such quantum computers do not yet exist at the necessary scale, the possibility has been taken seriously by governments, banks, and technology companies.

 

This is where post-quantum cryptography comes in. Instead of relying on the mathematical assumptions that quantum computers could exploit, new algorithms are built on different types of problems that are believed to be difficult for both classical and quantum machines. Examples include lattice-based cryptography, hash-based signatures, and code-based systems.

 

Importantly, these methods do not require quantum hardware. They run on the same servers, laptops, cloud infrastructure, and mobile devices that organizations already use. The innovation lies in the mathematics, not in the machines.

 

For business leaders, this distinction is critical. When people hear “quantum security,” they often imagine futuristic technology or specialized infrastructure. In reality, the transition to post-quantum cryptography will mostly look like software updates, protocol upgrades, and infrastructure migrations across existing systems.

 

The urgency comes from a strategic risk sometimes described as “harvest now, decrypt later.” Attackers may collect encrypted data today with the expectation that future quantum computers could eventually break it. Sensitive information such as intellectual property, government communications, health records, and long-term contracts could remain valuable for decades. That means organizations cannot wait until quantum computers arrive to start adapting.

 

Standards bodies have already begun addressing this challenge. The National Institute of Standards and Technology—an agency of the United States Department of Commerce whose mission is to promote American innovation and industrial competitiveness—, for example, has been running a multi-year process to evaluate and standardize post-quantum algorithms that can replace current cryptographic systems. Major technology providers, financial institutions, and infrastructure operators are closely following these developments. Other bodies throughout the world are running similar initiatives.

 

For companies, the main task is preparation rather than panic. Most organizations have far more encryption embedded in their systems than they realize—across applications, devices, networks, APIs, and third-party services. Moving to post-quantum cryptography will take time because it requires inventorying where cryptography is used, ensuring systems are flexible enough to adopt new algorithms, and coordinating upgrades across complex ecosystems.

 

Another important message for non-technical audiences is that quantum computing does not suddenly make security obsolete. Cryptography has evolved many times before as computing power increased. The shift to post-quantum methods is simply the next chapter in that ongoing process.

 

In fact, the existence of post-quantum cryptography is a positive sign. The security community is not waiting for quantum computers to become a problem; it is actively redesigning defenses in advance.

 

For business decision-makers, the takeaway is clear: quantum computing may change the threat landscape, but the primary solution will be implemented through classical technologies that organizations already know how to deploy. Companies that start preparing early will be in a much better position to protect their data, comply with future regulations, and maintain trust in an increasingly quantum-aware world.



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