Dhanush, V.Chandra, T.S.Divakarla, U.Chandrasekaran, K.2026-02-062025Communications in Computer and Information Science, 2025, Vol.2334 CCIS, , p. 85-11218650929https://doi.org/10.1007/978-3-031-83790-6_6https://idr.nitk.ac.in/handle/123456789/28740This paper presents the Secure Intelligence Development Life-Cycle, a Software Development Life-Cycle created to address the need for advanced security and intelligent technologies, such as artificial intelligence and machine learning, at the development level. It differs from standard software development models that usually involve security measures only in the later stages of development; this one integrates security measures right from the early stage of requirements gathering through design, development, and deployment. The embedding of security from the onset allows real-time vulnerability detection and response with adaptability to emerging threats. It has also improved threat detection, made better decisions, and enhanced system resilience with intelligent processes. It is most effective with sectors like healthcare, finance, and critical infrastructure for secure and complex software systems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.AI Intelligent SystemsSDLCSecure Intelligence Development Lifecycle (SIDL)SecurityVulnerability Detection