The strength of data encryption depends on the algorithm used to protect it. The effectiveness of encryption relies on the algorithm's robustness against potential attacks.

Quantum risk refers to the threat of quantum computing, which could compromise encryption methods like RSA and Elliptic Curve Cryptography. This poses a challenge to the foundation of current data security practices.

The "Harvest now, decrypt later" concept suggests that attackers can harvest data until technology catches up, even if it is currently adequately encrypted. It raises questions about the long-term sensitivity of data, especially considering evolving threats and technology advancements. 

While no concrete date exists, strong indicators suggest that the post-quantum era may begin between 2023 and 2030. This shift could render many public key-based protocols vulnerable to eavesdropping and disclosure of data that is encrypted with today's algorithms.

TLS/SSL, IPSEC, SSH, Internet of Things (IoT), digital signing, and code signing will become susceptible to quantum attacks. Root Certificate Authorities (CAs), data retention requirements, code signing certificates, and document signing solutions may also face vulnerabilities.

No, as of now, cloud platforms do not yet support post-quantum algorithms. Updating a data service to use a new key involves ensuring compatibility with both the service and the KMS/HSM, which adds complexity to the transition process.

Data classification is essential for identifying critical infrastructure and systems that require a transition to post quantum cryptography algorithms. This prioritization is necessary to protect sensitive data assets from the 'harvest now, decrypt later' attack model, reducing the risk of exposure.

Fortanix DSM features a REST API-based architecture, a key discovery toolset, key metadata handling, and reporting and auditing capabilities. These functionalities enable automated and comprehensive management of a key estate, simplifying the implementation of a PQC transition strategy.

Fortanix DSM offers easy integration with all leading applications, including databases, PKIs, and data signing, both on-premises and popular cloud platforms. This ensures a seamless and efficient transition to PQC across diverse application landscapes.

Quantum cryptography secures communication using the laws of quantum physics. Unlike traditional encryption, which depends on hard math problems, quantum cryptography makes eavesdropping detectable by design.

A key method is Quantum Key Distribution (QKD), where two parties exchange encryption keys using photons. If someone tries to intercept the photons, their quantum state changes, alerting the sender and receiver to the intrusion.

In BB84, a common QKD protocol, a sender (Alice) sends polarized photons to a receiver (Bob). Bob measures them randomly and later compares notes with Alice to keep only the correctly measured ones. If errors appear due to eavesdropping, they discard the key and try again.

QKD is secure in theory, but real-world challenges like distance limits and hardware requirements make it difficult to deploy widely.

Quantum cryptography secures communication by applying the principles of quantum mechanics. Unlike traditional encryption, which depends on mathematical problems that can eventually be solved with enough computing power, quantum cryptography relies on the physical behaviour of quantum particles.

This makes it resistant to attacks, even from future quantum computers. The most well-known application is quantum key distribution (QKD), which allows two parties to securely exchange encryption keys while detecting any eavesdropping attempts. The strength of quantum cryptography comes from how quantum systems behave differently from classical systems when observed or measured.

One of the foundational principles behind quantum cryptography is superposition. In classical computing, information is stored as bits, which can be either 0 or 1. Quantum systems, on the other hand, use quantum bits, or qubits, which can exist in multiple states simultaneously. For example, a photon can be polarized in different directions at the same time.

This means that information encoded in quantum states is inherently different from traditional data storage, making it harder to intercept or manipulate without detection. But superposition alone does not explain how quantum cryptography achieves security—this is where the concept of quantum measurement comes in.

In quantum mechanics, the act of measuring a quantum system changes its state. If an eavesdropper tries to intercept a quantum transmission, they must measure the quantum states being sent.

However, this very act of measurement disturbs the system, introducing detectable changes. This property allows the intended recipient to immediately recognize any interference. This is fundamentally different from classical encryption, where an attacker could copy data undetected.

But what if an attacker tries to clone the quantum data before modifying it? This brings us to another key principle: the no-cloning theorem.

The no-cloning theorem states that it is impossible to create an exact copy of an unknown quantum state. In classical computing, copying data is straightforward and does not alter the original.

In quantum systems, however, any attempt to duplicate a quantum state without knowing its exact properties will fail, as the process of copying itself disturbs the system. This guarantees that an attacker cannot secretly copy and resend intercepted quantum data without introducing detectable errors. When combined with quantum measurement, this makes quantum cryptography an effective way to protect information.

Another concept that has potential applications in quantum cryptography is entanglement. When two quantum particles become entangled, their states remain connected no matter how far apart they are. Measuring one particle instantly affects the other, even if they are separated by vast distances.

While entanglement is not necessary for basic quantum key distribution, it has the potential to enable more advanced cryptographic techniques, such as secure quantum teleportation and long-distance communication.

All of these principles—superposition, quantum measurement, no-cloning, and entanglement—work together to make quantum cryptography fundamentally different from classical encryption. While practical implementations are still developing, quantum cryptography offers a level of security that traditional methods cannot achieve. It not only prevents attackers from decrypting messages with brute force but also makes their presence known if they attempt to interfere.

Quantum mechanics changes the way we think about data security by introducing principles that classical cryptography cannot match. These principles come from the laws that govern particles at the smallest scales.

One of the biggest advantages is the ability to generate truly random numbers. Classical computers use algorithms to create random numbers, but these are only "pseudo-random" because they follow a pattern. Quantum mechanics allows for randomness that has no underlying formula, making it impossible to predict or reproduce. This makes cryptographic keys stronger and harder to break.

Quantum mechanics also makes eavesdropping detectable. When a quantum key is transmitted, any attempt to intercept or measure it will disturb its state. These changes can be spotted during the key exchange process. If an attacker tries to listen in, the sender and receiver will know. This is a major difference from classical cryptography, where an attacker can quietly copy encrypted messages without being noticed.

Another key advantage is that intercepted data becomes useless. In classical cryptography, an attacker can steal encrypted data and try to break it later. With quantum cryptography, any attempt to read the data changes it. The message is no longer intact, and the attacker gets nothing.

These properties make quantum-based security different from traditional methods. While still in development, quantum cryptography offers ways to protect sensitive data that classical systems cannot.

Cryptography has traditionally relied on mathematical problems to protect information. Methods like RSA, Diffie-Hellman, and elliptic curve cryptography work by using functions that are difficult to reverse without a secret key. However, with the development of quantum computing, these systems face new risks. Quantum cryptography takes a different approach by using the principles of physics instead of mathematical complexity.

One major difference between the two is how they ensure security. Traditional cryptography is based on the idea that solving certain mathematical problems takes an extremely long time with current computers. However, quantum computers, using algorithms like Shor’s, could solve these problems much faster, making many existing encryption methods weaker. Quantum cryptography does not depend on computation at all. Instead, it uses the laws of physics to make sure that data remains secure. Because of this, its security does not rely on assumptions about computing power, making it resistant to both classical and quantum attacks.

Another key difference is how each system handles security risks. Traditional cryptographic keys are made up of mathematical values, which means they can eventually be cracked if an attacker has enough computing power. As computers become more advanced, these keys may need to be made longer or replaced with new encryption methods. In quantum cryptography, specifically quantum key distribution (QKD), encryption keys are transmitted using individual particles of light, called photons. If someone tries to intercept the transmission, the act of measuring the photons changes their state, making the intrusion immediately noticeable. This makes quantum key distribution secure against eavesdropping.

There is also a difference in how these systems are implemented. Traditional cryptography is software-based and can be used in almost any digital system. It is widely deployed and does not require any special equipment. Quantum cryptography, on the other hand, requires specialized hardware, such as fibre optic networks and photon detectors, to function properly. This makes it more challenging to adopt on a large scale with current technology. While researchers are working on improving quantum networks, it will take time before these systems become widely available.

In summary, traditional cryptography relies on mathematical problems that could eventually be solved by quantum computers, while quantum cryptography is based on the physical properties of particles, making it secure against such threats. However, practical limitations mean that quantum cryptography is not yet a replacement for traditional encryption but rather a complement to it.

Quantum-safe cryptography, also known as post-quantum or quantum-resistant cryptography, refers to cryptographic algorithms specifically designed to withstand potential attacks by both quantum and classical computers. These algorithms secure sensitive data, communications, and authentication processes in a future where large-scale quantum computers, capable of easily breaking current cryptographic systems, become operational. 

Quantum cryptography and quantum-safe cryptography are not the same. They serve different purposes and rely on different principles.

Quantum cryptography uses the principles of quantum mechanics to secure communication. The most well-known example is Quantum Key Distribution (QKD), which enables two parties to share encryption keys in a way that any eavesdropping attempt will be detectable. QKD relies on the behaviour of quantum particles, like photons, to establish secure keys. However, QKD is not practical for widespread use due to hardware limitations and distance constraints.

Quantum-safe cryptography (or post-quantum cryptography) is about creating encryption methods that can resist attacks from quantum computers. It does not rely on quantum mechanics but instead uses mathematical problems that even quantum computers cannot solve efficiently. Lattice-based, hash-based, and code-based cryptography are examples of this.

Quantum computing is set to change cryptography in profound ways, and it's important to understand both perspectives of how this will happen.

First, let's focus on how quantum computing will break current cryptographic systems. Most of today's encryption algorithms, like RSA and ECC (Elliptic Curve Cryptography), rely on mathematical problems that are hard to solve with classical computers. For example, RSA encryption is based on the difficulty of factoring very large numbers. If you take a large number, say a product of two prime numbers, and try to figure out which two primes were multiplied to get that number, it becomes incredibly hard as the numbers get bigger. Classical computers struggle with this, so it's used to secure everything from emails to bank transactions.

However, quantum computers will change this. Using a quantum algorithm called Shor’s algorithm, a quantum computer can factor large numbers in a fraction of the time it would take a classical computer. In other words, what takes current computers years to break, quantum computers will be able to do almost instantly. This means that any encryption relying on the difficulty of factoring large numbers—like RSA—will be vulnerable to quantum attacks. The same goes for other encryption systems like ECC, which is based on the difficulty of solving certain mathematical problems, such as finding discrete logarithms. Quantum computers will have the ability to solve these problems quickly as well, making them a major threat to the security of current cryptographic systems.

To counter this, researchers are working on post-quantum cryptography (PQC), which involves designing new encryption methods that cannot be easily broken by quantum computers. These new algorithms focus on mathematical problems that quantum computers are not yet able to solve efficiently. For example, lattice-based cryptography is one approach that has shown promise as being quantum-resistant. Instead of relying on number factoring, lattice-based cryptography uses geometric objects that quantum computers struggle to solve. While PQC is still in development, it's essential for ensuring that our data remains secure when quantum computers become more powerful.

Now, let's look at the second way quantum computing will impact cryptography: the new cryptographic methods quantum mechanics can provide. Quantum computing isn’t just a threat; it also opens the door to new ways of securing data, particularly through quantum cryptography. One of the most well-known applications of quantum cryptography is quantum key distribution (QKD). In traditional cryptography, two parties need to exchange secret keys to encrypt and decrypt messages. With classical encryption, an attacker could potentially intercept the key during transmission. But with quantum key distribution, this problem is solved by the laws of quantum physics.

The key feature of QKD is that it uses quantum particles, like photons, to transmit the key. If an attacker tries to intercept the key during transmission, the quantum particles will be disturbed, alerting the sender and receiver to the presence of the intruder. This disturbance occurs because, according to quantum mechanics, the act of measuring a quantum particle changes its state. This makes it impossible for an eavesdropper to intercept the key without being detected. While QKD provides a secure way to exchange keys, it's not a replacement for traditional encryption; it only solves the problem of key distribution. Once the key is securely exchanged, conventional encryption algorithms still need to be used to encrypt and decrypt the data.

Quantum cryptography faces practical challenges. QKD, for example, requires specialized hardware and a clear line of communication between parties, which can make it difficult to implement on a large scale. It’s not yet ready to replace current encryption methods entirely, but it’s an example of how quantum mechanics can be used to strengthen cryptography in the future.

Quantum computers, though not yet advanced enough, could one day solve complex mathematical problems that would take classical computers trillions of years. This threatens the encryption methods used today to protect digital communication, financial transactions, and sensitive data.

For businesses, this could disrupt daily operations in ways that are hard to ignore. Secure online transactions, digital signatures, and authentication systems all rely on encryption. If quantum computers break current encryption, contracts, financial transfers, and confidential business communications could be exposed. An attacker could forge digital signatures, allowing unauthorized transactions or access to critical systems. This would create chaos, leading to financial losses, reputational damage, and legal complications.

On an individual level, personal data stored or transmitted today could be decrypted in the future. Medical records, tax filings, private conversations, and even biometric authentication systems depend on encryption. A future quantum attack could expose private information, leading to identity theft, fraud, or personal privacy violations. The "harvest now, decrypt later" approach means that even if quantum computers aren’t breaking encryption today, they could be used against encrypted data collected over the years.

To address this risk, organizations like the National Institute of Standards and Technology (NIST) are developing quantum-resistant encryption algorithms designed to secure data even in the presence of quantum computing power. Governments, financial institutions, healthcare providers, and businesses must prepare for this transition to ensure that digital security remains intact. Without quantum-resistant cryptography, both business operations and personal privacy could face serious threats in the coming years.

Quantum-resistant encryption, or post-quantum cryptography, protects data against the computational capabilities of future quantum computers. While current encryption methods depend on mathematical problems that are infeasible for classical computers to solve, quantum computers could exploit algorithms like Shor’s algorithm to break widely used cryptographic standards such as RSA, Diffie-Hellman, and elliptic curve cryptography.  

Different types of PQC algorithms rely on mathematical problems that are believed to be difficult even for quantum computers to solve. 

One major category of PQC algorithms is lattice-based cryptography. These systems rely on complex problems within multi-dimensional grids, known as lattices. One example is the Shortest Vector Problem (SVP), which involves finding the shortest nonzero vector in a lattice—something extremely difficult to compute efficiently. Techniques such as Learning with Errors (LWE) and Ring-LWE have been developed to build encryption schemes and digital signatures. The CRYSTALS-Kyber (for key exchange) and CRYSTALS-Dilithium (for digital signatures) are examples of standardized lattice-based cryptographic algorithms. These systems are considered strong candidates because they provide both security and scalability. 

Another type is hash-based cryptography, which relies on cryptographic hash functions to secure information. These techniques are mainly used for digital signatures, where the security is based on the strength of the hash function rather than number-based problems. A well-known example is XMSS (eXtended Merkle Signature Scheme). Hash-based signatures are straightforward and highly secure against quantum attacks, but they often require large key sizes and may have usage limitations, such as restricting the number of times a key can be used. 

Multivariate cryptography is another approach. It is based on solving systems of polynomial equations over finite fields—a problem that is believed to be hard even for quantum computers. One example is the Rainbow signature scheme, which has been explored as a quantum-resistant alternative. However, these algorithms can be complex and sometimes require high computational resources, making them challenging to implement efficiently. 

A well-established approach is code-based cryptography, which uses error-correcting codes to create secure encryption schemes. The most well-known example is the McEliece cryptosystem, which has withstood decades of cryptanalysis. While McEliece provides strong security, one drawback is that it requires very large keys, making implementation and storage more difficult. 

Finally, there is isogeny-based cryptography, which uses mathematical transformations, called isogenies, between elliptic curves. These methods were considered promising because they offered small key sizes while maintaining security. However, recent research has exposed vulnerabilities in some isogeny-based systems, meaning they require further study before they can be widely adopted. 

Each of these cryptographic techniques offers different trade-offs in terms of security, efficiency, and practicality. 

One of the biggest reasons to switch is the risk of “harvest now, decrypt later” attacks. Hackers and state actors are already storing encrypted data, knowing that quantum computers will eventually let them crack it. This means data that looks secure today could be exposed in a few years. By switching to PQC, companies and governments can protect information before that window opens.

Another advantage of moving to PQC is that it forces organizations to take a hard look at their security setups. A lot of encryption systems are outdated or poorly managed. The shift to PQC isn’t just about swapping one algorithm for another—it’s a chance to fix weak spots, upgrade infrastructure, and rethink how encryption keys are handled. In many cases, that means better security overall, not just protection against quantum threats.

There’s also a strategic advantage. Governments and major industries—finance, healthcare, defence—are already working on the transition. Companies that start preparing now will be ahead of the curve when regulations start requiring PQC. Those that wait will scramble later, and that’s never a good position to be in.

Of course, there are challenges. Some PQC algorithms are slower and require more processing power. Rolling them out across an entire organization takes time. But the alternative—waiting until quantum computers are already breaking encryption—would be a disaster. The sooner companies start testing and planning, the smoother the transition will be.

This isn’t just another security update. It’s a shift in how we think about protecting data. The organizations that take it seriously now will be the ones that stay secure in the future.

Despite these opportunities, the transition to PQC presents significant challenges. One of the biggest obstacles is the complexity of migration. Most current encryption systems are deeply embedded in digital infrastructure, including databases, certificates, and internet protocols. Replacing them with quantum-resistant alternatives requires major upgrades, which take time, effort, and investment.

Another challenge is global coordination. Cryptographic systems are interconnected across industries and nations. If different regions adopt PQC at different speeds or implement incompatible solutions, it could create security gaps. Ensuring a smooth transition requires collaboration between governments, technology companies, and regulatory bodies.

Cost is another major factor. Developing and deploying Post Quantum Cryptography solutions requires specialized expertise and infrastructure. Large corporations and governments may have the resources to invest in quantum-resistant systems, but smaller organizations and under-resourced regions might struggle. This could lead to unequal access to security, making it important for policymakers and researchers to develop solutions that are widely accessible.