Аннотация. This paper details the integration of machine learning (ML), and cybersecurity, for mitigating Privacy and security risks in the financial sector, focusing on innovative security solutions. Cyber threats sophistication in the financial sector is increasing every day. The paper investigates ML's ability to improve cybersecurity protocols. Insights gathered through open-ended questionnaires reveal the challenges and advantages of integrating ML and cybersecurity in the privacy and security mitigation process. Collaboration between IT professionals and cybersecurity experts in this regard is intriguing as it necessitates secure ML models and data. The findings presented in this paper highlight ML's capacity to address cyber threats in big data environments, particularly the finance sector. The research paper underscores the irreplaceable role of skilled cybersecurity professionals for critical thinking, while also advocating for robust regulatory frameworks to guide AI practices in sensitive areas, offering valuable implications for financial and non-financial sectors.