This 10-page document explores the critical necessity of embedding cybersecurity directly into the architectural and lifecycle phases of AI application development. It examines major AI vulnerabilities—such as data poisoning, inference attacks, model manipulation, and unauthorized access—while detailing multi-layered protection frameworks, threat detection, and enterprise governance. The guide presents Jeevan Tech’s security-first methodology to help enterprises deploy safe, scalable, and compli