Cybersecurity Goes Quantum

A combination of technologies has seen an Australian service provider combine quantum number generation with an encryption algorithm to develop the world’s first “always encrypted” security. The system, designed by ASD certified company Vault Cloud, incorporates homomorphic encryption developed by Ziroh Labs, and true Quantum Number Generation created by Quintessence Labs to create a system that uses genuinely random numbers to encrypt systems.

Currently, random number generation happens through an algorithm that is potentially breakable, revealing the sequence of pseudorandom numbers to anyone who has the time and effort to break it down. The problem in using these numbers in cryptographic applications is that once the algorithm has been compromised, the cryptography becomes much less secure. Using a true random number generator ensures that the system will always be secured since there is no way to predict the next number in the truly random sequence.

A New Era for Cryptography

Homomorphic cryptography, enables data that is being used to remain encrypted, ensuring that the information is never open to being compromised. It increases the level of security over older cryptography methods because data that was previously encrypted would need to return to its non-encrypted form for any actions to be done on it. Vault Cloud took this methodology and used it to secure the secrets management, storage, and identity system of their core product.

With new technology, the concern is always regarding the integration in existing endpoints. Vault Cloud has stated that existing networks can incorporate the system without affecting the configuration of the client nodes. Vault Cloud intends to offer solutions that enable companies to integrate homomorphic encryption into their operations as well as take advantage of the true random number generator for their cryptography needs. The resulting software claims to be the world’s first fully secure, scalable enterprise solution for sharing and synchronization of systems.