Cybersecurity frameworks for AI-enabled leukemia genomic data analysis

Genomic data analysis has now been transformed by artificial intelligence (AI), and analysis of leukemia, specifically, has provided revolutionary possibilities of precision medicine. However, there are certain issues that come with this innovation, the major one being the security of sensitive genetic information. The current article focuses on cybersecurity structures that will ensure AI-based analysis of leukemia genomic data is secured. It highlights the need to have a strong encryption, strong data-access policies, and specialized anomaly-detection systems designed for the use of genomic data. In addition, the manuscript outlines the use of blockchain technology to guarantee safety and privacy of genomic information. This paper provides a systematic plan of risk reduction and regulatory adherence by analyzing the current AI models and determining their vulnerability to cyberattacks. The adoption of these systems can make healthcare professionals and researchers have confidence in AI-based leukemia genomic research, which will eventually lead to better treatment results.