Cryptography is the study of techniques used for secure communication in the presence of adversarial actors. It uses a set of techniques to encrypt communication using complex algorithms to convert the information into a unique code.

Differential Privacy

Differential privacy is like cryptography in that it uses complex mathematical techniques to mask information so that it may be transferred, stored, or used in a secure manner.

Differential privacy uses a set of algorithmic rules that limit the disclosure of specific information within a database, or more complex techniques creating mathematical ‘noise’ or randomization within the algorithm. The addition of ‘noise’ or randomization to the output of an algorithm makes it difficult to reverse engineer and determine specific information from a data-set.

Both, differential privacy and asymmetric cryptography require simply adding another algorithm within an A.I. model.

Blockchain

Blockchain would be another effective method to ensure security and privacy, but its complexity would not make it a good fit for all applications. It is also a much more complex method and would be costly to maintain. Like asymmetric cryptography, it also converts information into cryptographic code. It requires a network of computers to validate the computations of the other users within the network, making this technique costly over time from the requisite computing power necessary to perform the validation. Depending on the use and sensitivity of the information being used, blockchain might be a better solution because with its complexity comes additional security.

Conclusion

In sum, the scope of data regulations need not be cumbersome in order to achieve the desired level of security and privacy. The use of mathematical techniques like differential privacy, asymmetric cryptography, and blockchain will resolve many of the concerns these regulations attempt to address.