Encryption systems in cybersecurity serve as the magical guardians of data and information in today’s rapidly growing digital landscape. One of the natural sworn enemies of encryption systems is quantum computing. Encryption can perform its sole purpose of digital protection on a basis that will be discussed as we continue the discussion below about why there is a growing need to gain access to advanced encryption methods that surpass quantum computing.
The new encryption model and why it matters now more than ever in the world of quantum computing
Before now, the popular encryption services that were used included Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography. These encryption services have been in existence for a while, especially RSA, as it is one of the first established systems that offers high compatibility and is a must-have in digital signatures. It is also important to note that it requires larger keys, for example, 2048-bit or 3072-bit keys.
ECC, on the other hand, is more modern and offers higher efficiency compared to RSA. It is a popular choice for mobile devices and uses keys like 256-bit, which is comparable to RSA’s 3072-bit key.
Both keys are used in the following applications:
- SSL/TLS Certificates: These certificates are very important in securing website connections.
- Digital Signatures: As discussed earlier, they are important in verifying the authenticity of data.
- Secure Communication: Essential to protect data that is in transit.
The new encryption model in question is Post Quantum Cryptography (PQC). However, future quantum computing is capable of solving extremely complex mathematical problems, which leads to a breach in these popular encryption models. PQC runs on classic computers and uses lattice-based cryptography to remain secure, which is strongly resistant to code-based cryptography.
Why the conversation needs to switch to practicality as soon as possible
While it is important to have conversations surrounding the possibility of standby technology that is capable of thwarting risks posed by quantum encryption, PQC must move faster from these discussions to imminent implementation as the looming threat becomes imminent. A clear government guidance list is highly critical for the shift, like the new mandatory smart devices security standards.
What the cybersecurity agency-approved hardware and software list includes
The agency has released a list of hardware and software for PQC:
- Cloud services (PaaS, IaaS): Infrastructure as a service and Platform as a service cloud services are heavily integrating PQC to prevent “harvest now, decrypt later” attacks.
- Collaboration tools (chat/messaging): Services like WhatsApp and Apple iMessage have found ways to integrate PQC to reinforce absolute secrecy and protect against “harvest now and decrypt later” attacks. While the majority of these apps take a combined approach to benefit from the best of traditional and PQC protocols.
- Web software (browsers, servers): New-age web servers are now planning for PQC adoption mainly through hybrid TLS 1.3. This model combines traditional encryption with NIST-standardized quantum-resistant algorithms like ML-KEM (Kyber).
- Endpoint security (data-at-rest encryption): Here, NIST-standardized algorithms are being employed in real-time to ensure that stolen hardware cannot be decrypted by future quantum computers.
The list’s role in the conversation of adoption across major industries and markets
In the list, there is an emphasis on companies and industries that operate critical infrastructure, which include healthcare and cloud service providers. These sectors can be made extremely vulnerable if the encryption is breached. It provides a reference point and adoption support across the board.
It is beyond evident that humanity has reached an inflection point to switch the conversation from preliminaries to the point of execution. The current cryptography model might become entirely irrelevant when quantum computing takes over. This is why post-quantum encryption adoption is crucial for data safety, not leaving behind the implementation of AI agents and LLMs transforming cybersecurity’s strategy.
