Random number generators (RNGs) are the silent backbone of secure systems. They create the unpredictable values that underpin cryptographic keys, authentication tokens, session identifiers, and more. But here’s the catch: not all RNGs are truly random.
In fact, most systems today still rely on outdated or misunderstood randomness sources—leaving gaping holes in their security.
To make sense of it all, experts have defined four levels of RNGs, from the insecure to the mathematically provable. This guide breaks them down and shows you where your systems might stand.
Also known as: Pseudo-RNG failures, “random” hardcoded values
Entropy Source: None or reused
Security Value: Zero
Also known as: Software RNGs, entropy from user behavior
Entropy Source: User input, system jitter, OS timing
Security Value: Weak and unreliable
Also known as: Hardware RNGs (TRNGs), early-stage QRNGs
Entropy Source: Dedicated physical processes
Security Value: Strong, compliant, but hard to verify
Also known as: Verified QRNGs, metrology-grade entropy sources
Entropy Source: Dedicated physical + real-time entropy modeling
Security Value: Highest possible assurance

If your system protects sensitive data, runs critical infrastructure, or aims to be quantum-resistant—you can’t afford to stop at Level 2 or 3.
Level 1 and 2? You’re gambling with security.
Level 3? A strong foundation, but with blind spots.
Level 4? Real, proven, auditable trust.
Quside’s Level 4 QRNG technology is already powering the future of secure infrastructure—from ultra-compact chips to scalable data center modules.
Today, Quside solutions are deployed across:
If you’re building systems that demand real, verifiable randomness—Quside can help you get there.
Contact our team to explore how Level 4 QRNGs can strengthen your security stack and prepare your infrastructure for the quantum era.