The security features relied on for decades will be broken in the near future. Theon Security utilizes the class of artificial intelligence known as ‘Supervised Machine Learning’ which relies on linear regression as its gradient descent function, in order to generate high entropy pools of data required for random (irrational) number generation.
> Many of the numbers used in today’s digital cryptography systems do not meet all of NIST standards.
> The looming threat of quantum computing power is heating up the race to create a new paradigm of secure protocols.
> Theon Security addresses this challenge without the need for specialized hardware systems, generating random numbers efficiently, consistently and quickly, achieving high entropy values.
> Attacks, computing power and hacking methods have evolved and only increased vulnerabilities, as evidenced by daily news reports of serious data breaches.
> Recent discoveries reveal predictable patterns previously unknown in number field theory making some widely used encryption systems vulnerable.