AI Integration in Clinical Trials Raises Significant Data Security Concerns for Healthcare and Biotech Sectors
The increasing integration of Artificial Intelligence (AI) in healthcare and biotech research, particularly within clinical trials, is introducing new and complex data security challenges. While AI is becoming an expected part of daily operations, with 75% of U.S. health systems using at least one AI application, it also creates additional vulnerabilities for sensitive patient records and proprietary research data. Healthcare remains a prime target for cybercriminals, with the average data breach costing $7.42 million and taking 279 days to identify and contain. The 2024 Change Healthcare ransomware attack, which affected 192.7 million individuals due to a single missing control, highlights the severe consequences of security lapses. AI models and their training datasets are now valuable targets for attackers, necessitating robust data protection strategies that extend to every model, dataset, and environment involved in clinical trial information. The FDA and EMA have jointly released ten guiding principl...
