If you’ve ever used a secure messaging app, logged into an online bank, or trusted a VPN to protect your data, then you’ve relied on something invisible but crucial: random numbers.
Random number generators (RNGs) are the hidden engines behind digital security. They help create the cryptographic keys and codes that keep our information private. But here’s the catch: not all “random” numbers are truly random. And that can lead to serious security risks.
Many systems today still use outdated methods to generate randomness, methods that can be predicted, repeated, or even faked. That’s like building a safe with a factory-set combination anyone can guess.
To help fix this, experts at Quside and Deloitte created a simple model that explains four levels of randomness. Let’s break it down and see why quantum random number generators (QRNGs) are leading the pack.

Also known as: Hardcoded values, reused “random” numbers
Security level: Zero
At this level, what looks random really isn’t. The numbers might be repeated or even copied straight into the code. It’s like using “1234” as the password on every lock.
Example: In 2010, hackers cracked Sony’s PlayStation 3 security because the system reused the same “random” number in a digital signature. That slip gave attackers full access.
Bottom line: If your system is using Level 1 randomness, it’s already vulnerable. This is the lowest possible bar.
Also known as: Software RNGs, user-based entropy
Security level: Weak and unreliable
Level 2 RNGs pull randomness from things like mouse movements, keyboard timing, or system clocks. This might seem unpredictable, but patterns can emerge—and hackers can copy them.
Why it’s risky: These behaviors can be watched, logged, or faked. That makes it easier for attackers to recreate the “random” values your system depends on.
Verdict: Slightly better than nothing, but still risky. Not secure enough for serious protection.
Also known as: Hardware RNGs (TRNGs), basic quantum RNGs
Security level: Strong, but unverifiable
At Level 3, randomness is created by real-world physical processes—like electronic noise or quantum events. These methods are much better than Levels 1 and 2, and they’re often used in secure chips, hardware tokens, and data centers.
The catch? Most Level 3 systems can’t prove that their randomness is working properly in real time. If something fails or drifts, you may not know until it’s too late.
Verdict: Good for many use cases, but not bulletproof. Assumes things are working instead of verifying it.
Also known as: Verified QRNGs, metrology-grade randomness
Security level: The highest available
This is where it gets exciting. Level 4 RNGs don’t just create random numbers—they measure and verify them as they’re being made. That means you get real-time proof that the randomness is fresh, unpredictable, and secure.
How it works: Advanced QRNGs use quantum physics and built-in sensors to test their output continuously. If something’s off, the system knows—and flags it.
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Verdict: The gold standard. When security really matters, this is where you want to be.
We’re entering a new era of cybersecurity, one with AI-driven attacks and quantum computers on the horizon. The threats are getting smarter. That means the tools we use to protect data need to be smarter too.
Randomness is the root of security. And only Level 4 systems, like Quside’s QRNGs, can deliver the measurable, reliable entropy that modern systems require.
From secure cloud platforms to space missions, Quside’s technology is powering the next generation of trust. Whether you’re a developer, engineer, or security leader—if your system handles sensitive data, now is the time to upgrade.
Let’s talk about how Quside can help you build a safer, quantum-ready future.