The Need

As digital infrastructure scales and cyber threats become more sophisticated, the integrity of cryptographic systems increasingly depends on the quality of their randomness. From encryption keys to authentication protocols, weak or predictable entropy can undermine even the most advanced security architectures. Yet many current solutions rely on pseudo-random algorithms or opaque hardware sources that are difficult to validate and trust.

The Opportunity

Researchers at The Ohio State University have developed a novel true random number generation (TRNG) platform based on nanopore sensing, which captures physical noise from nanoscale molecule transport as its entropy source. This approach produces highly unpredictable, non-deterministic random numbers designed for security-critical environments where trust, transparency, and robustness are essential. This innovation can offer a simpler, more affordable alternative to today's leading options, which rely on specialized chips or complex quantum optics equipment.

Key Advantages

• True physical entropy derived from nanoscale processes, not algorithmic approximation
• High-quality randomness suitable for cryptographic key generation and secure protocols
• Strong performance across established statistical randomness test suites
• Reduced susceptibility to prediction, bias, or algorithmic compromise
• Potential for verifiable and auditable randomness in high-assurance environments

Market Applications

• Cybersecurity platforms and encryption systems
• Hardware security modules (HSMs) and secure processors
• Cloud and edge computing infrastructure
• Digital identity and authentication technologies
• Defense and national security systems
• Blockchain and distributed ledger technologies
• Secure communications and next-generation computing architectures

This technology is currently advancing through development and validation. The Ohio State University is seeking strategic partners to evaluate, integrate, and commercialize this platform across cybersecurity and secure computing markets.