THE ROLE OF AI IN IMPROVINGENCRYPTION IN DATA PRIVACY: AHYPOTHETICAL APPROACH

In the digital era, ensuring data privacy has become a paramount concern, particularly as cyberthreats continue to grow in complexity. Cryptography [1] plays a vital role in protecting sensitiveinformation, but traditional approaches are increasingly facing challenges in the face of evolvingattack strategies. Artificial Intelligence (AI) offers innovative solutions to enhance data privacywithin cryptographic systems. This abstract explores how AI can be leveraged to strengthencryptographic methods and address the challenges of data privacy. AI-based techniques, such asmachine learning algorithms, can improve encryption processes by automating key generation,detecting vulnerabilities in cryptographic protocols, and enabling adaptive responses to real-timesecurity threats. Additionally, AI enhances privacy-preserving technologies like homomorphicencryption, differential privacy, and secure multi-party computation by optimizing their efficiencyand ensuring more robust protection of sensitive data. AI can also assist in identifying patterns inpotential attacks, allowing systems to preemptively adapt and safeguard against breaches. WhileAI’s integration into cryptography offers numerous advantages, it also introduces ethical concerns,particularly when AI-driven cryptanalysis can be used for malicious purposes. Therefore, it iscrucial to establish frameworks that govern the responsible use of AI in cryptographic applications.