Many RNG systems rely on protection via physical security, draw and audit procedures, and isolated draw environments. These provide a feeling of security. However RNGs are computer systems that can be broken into despite protective security. They require integrity solutions from within, fraud detection built into the RNG that will also catch attacks from insiders.
Traditional RNG - vulnerable
These systems rely on a chain of custody – reliance on the RNG provider, on the certification authority, on the computer’s physical security, on the draw procedures, on the personnel, etc. If any point in the chain breaks down, security is compromised but the loss in security may not be visible– making such systems vulnerable to insider fraud.
traditional chain of confidence
Tamperproof RNG - anti-fraud and anti-fault
The Szrek RNG system has fraud detection in addition to preventive security. Cryptographic hardware and algorithms are used to create proof of integrity (nonrepudiation of draws). The integrity of every draw is verifiable anytime on an independent system. If any link in the chain of custody is broken, it is detected.
tamperproof_chain_of_confidence
Tamperproof RNG - anti-fraud and anti-fault
The Szrek RNG system has fraud detection in addition to preventive security. Cryptographic hardware and algorithms are used to create proof of integrity (nonrepudiation of draws). The integrity of every draw is verifiable anytime on an independent system. If any link in the chain of custody is broken, it is detected.
traditional chain of confidence

Why we need RNG with cryptographic integrity verification

  • To immediately detect fraudulent intrusion to your RNG.
    Skilled insiders can fix the draw results. You need to detect any fraudulent activity and act on it immediately, to prevent RNG fraud.   CBS news  Szrek article
  • To verify and demonstrate the integrity of each and every draw.
    Circumstantial evidence may be insufficient to detect fraud. And because all results are possible, you may need to prove the legitimacy of questionable draws e.g. identical draws on proximate days.   The Telegraph
  • To avoid using faulty hardware for electronic draws.
    Defective hardware can lead to non-random and repetitive draws.  Szrek article
  • To guarantee 100% fraud detection and serve as a fraud deterrent.

    A person will only commit a crime if they perceive that they have a good chance of success; detection works as a fraud deterrent.  NBER

  • To provide admissible proof of fraud in litigation.
    Our random numbers are generated using digital signatures, which in many countries constitute legal evidence.   American Bar Association

FAQ

traditional RNG - vulnerable

tamperproof RNG - anti fraud and anti fault

Comparing features
Anti-fraud and fault RNG is future proof

For more information, download our white paper, Redefining Electronic Draw Security

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