Why?
Current encryption standards such as AES-GCM and ChaCha20 remain among the world's most trusted cryptographic algorithms. However, they have protected information for almost three decades. History shows that no cryptographic solution remains the final solution forever.
The challenge is not today's security.
The challenge is tomorrow's uncertainty.
Organizations that wait until a practical attack exists may find themselves with little time to respond.
Several developments motivate preparing now rather than later:
- Long cryptographic lifetimes: Widely deployed algorithms remain in service for decades.
- Quantum computing: The long-term impact of quantum computing remains uncertain.
- Harvest Now – Decrypt Later: Encrypted data collected today may become accessible in the future.
- Artificial intelligence: AI increases the ability to analyze implementations, behavioral patterns, and recurring computational characteristics.
Preparing for an uncertain future should begin before the need becomes urgent.
That means preparing today.
Agility Through Computational Transformation
Cryptography is often viewed as a mathematical discipline. In practice, however, modern cryptography is computational. Its security depends not only on mathematical properties, but also on how those properties are realized in software, hardware, protocols, and operational environments.
Since the advent of computerized cryptanalysis—from Enigma onwards—the computational realization of cryptography has become an essential component of practical security.
LabCyfer's Finite Layer Transform (FLT) and Cryptographic Function Transform (CFT) introduce a transparent computational logic transformation into existing cryptographic primitives.
- The underlying algorithm remains unchanged.
- Existing software implementations remain unchanged.
- Existing hardware acceleration remains unchanged.
- Existing key management remains unchanged.
- Only the computational transformation changes.
By changing the transformation dynamically—per message, per packet, per block, or even per round—the observable computational implementation becomes significantly less predictable across a vastly expanded transformation space.
Rather than replacing established cryptographic standards, FLT and CFT provide an additional layer of cryptographic agility that can be deployed today as a drop-in solution.
Evaluate
Evaluate the technology yourself using the free software available at:
Commercial patent licenses are available from US$259 per user.
An in-depth theoretical explanation of FLT and CFT is available at: