In this world where threats against privacy are evolving faster than ever, encryption has long served as our first line of defense against hacking and “bad-faith” actors. However, with the rapid advancement of AI and other technologies, which help in hacking, this project aims to explore how AI can be used to strengthen encryption. My research explores how AI can enhance cybersecurity and resist emerging threats. Through academic research, interviews with cybersecurity experts, and experimentation with different programs and modules involving cryptography and encryptions. I seek to understand whether AI-involved systems are more resistant to brute-force attacks or normal methods. I will conduct research with my mentor, Mr. Sällström, who is a data storage expert, remotely. This project will also examine academic articles, cybersecurity reports, and recently published case studies on AI-driven encryption and protection models. Machine learning models will be used to generate cryptographic keys that will be compared to traditional encryption techniques. I expect that AI-generated cryptographic keys will demonstrate higher barriers compared to traditional encryption methods, making them a lot more resistant to pattern-based attacks. Through this project, I hope to learn about new security and encryption concepts that have been re-introduced upon the recent rise of AI and LLMs.