Artificial intelligence (AI) is rapidly changing the way businesses operate, offering unprecedented opportunities for efficiency and innovation. However, the integration of AI also introduces new security challenges that businesses must address proactively. Understanding these risks is crucial for maintaining data integrity and avoiding potential breaches. One of the primary concerns surrounding AI adoption is the potential for data breaches. AI models often rely on vast amounts of data, making them attractive targets for malicious actors. Protecting this data requires robust security measures, including encryption, access controls, and regular security audits. Furthermore, the increasing complexity of AI systems can make it difficult to identify and address vulnerabilities. As AI models become more sophisticated, so too must the security measures employed to protect them. This necessitates a proactive approach to security, encompassing regular vulnerability assessments, penetration testing, and ongoing monitoring of AI systems.