TectroLabs makes fast, secure, reliable and portable hardware random number generators that plug directly into any Windows, Linux, or macOS computer via USB. SwiftRNG devices are continuously monitored for proper operation and comply with NIST Special Publication SP 800-90B: “Recommendation for the Entropy Sources Used for Random Bit Generation”. Through the provided Software API and utilities, SwiftRNG devices can be used with many applications built for Linux, Windows or macOS, and with software languages such as C/C++, C#, VB.NET, Java, VBA Excel, MatLab scripts, or Delphi for Windows platforms.
Our latest SwiftRNG devices work with Linux, macOS, Windows 10 (64-bit), and Windows Server 2016/2019 (64-bit), and run in virtual machines using software such as VMware Player, VMware ESXi, VirtualBox, and Parallels.
Multiple SwiftRNG devices can be clustered together and used on Linux, Windows and macOS to multiply the resulting generation performance in mission critical applications. SwiftRNG devices passes statistical test suites for measuring the quality of a random number generator such as Diehard, Dieharder, NIST, Rngtest, Ent and BigCrush (using TestU01 software library).
People have relied on randomness for thousands of years. In modern times, the use of random number generation has spread to numerous fields. In science, random numbers are used to create simulated data for economic models, climate change models, hurricane models, and even epidemiologist models. Random number generation is monumentally important in data security and encryption. These generators are used to create encryption keys, salts, and keyfiles for keeping data safely encrypted. Random number generation is also needed for lottery management systems and other random drawings.