This document discusses securing data in distributed systems using blockchain and artificial intelligence. It first provides background on increasing data storage needs and security issues as data is shared over networks. It then reviews past research on using blockchain and AI to provide data security. Several studies introduced blockchain-based approaches to improve security in areas like IoT data, public key infrastructure, video surveillance, and decentralized storage. However, most lacked extensive testing or formal verification. The document concludes that combining blockchain for its tamper-proof properties with access control mechanisms could effectively secure sensitive health record data by restricting unauthorized leakage.