To Buy: https://www.amazon.com/dp/B0GMBP7DJR
Build secure software without slowing delivery.
Most security failures are not caused by exotic hacks. They start with small design assumptions that nobody challenged, and with security checks that arrive too late to change architecture. Bake Security into Modern Software Development helps you operationalize shift left security as a practical Secure SDLC: a protective overlay across requirements, design, coding, testing, and CI/CD, backed by lightweight gates and release evidence.
You will learn a repeatable workflow that connects what can go wrong to what you build next:
Define assets, trust boundaries, entry points, and threat scenarios that map to real business flows
Convert threats into mitigations using structural design choices, security patterns, and fit for purpose cryptography
Run Software Design Review early, set a Bug Bar that defines what must not ship, and complete a Final Security Review with clear evidence
Turn design assumptions into code invariants, secure coding habits, and focused reviews on risky moments
Design threat driven security tests from unit level checks to supply chain testing, configuration testing, dynamic testing, fuzzing, and targeted manual testing
Secure the pipeline itself with security gates, policy as code, secrets management, observability, and feedback loops, including a detailed SolarWinds supply chain case study
The book is structured in three parts. Part I builds shared vocabulary and system thinking: CIA, AAA, trust boundaries, work products, traceability, milestones, and gates. Part II turns modeling into defensible design through threat modeling, mitigations, and Security Design Review. Part III ensures design survives contact with implementation through security coding, security testing, and secure CI/CD practices.
Written for developers, architects, application security engineers, DevOps teams, technical leaders, and instructors, this book is for anyone who needs security to coexist with speed. It is not a tool manual and it is not a giant checklist collection. It gives you durable mental models, templates, and labs that produce real artifacts: threat models, review minutes, test ideas matrices, exception records, and a compact evidence pack you can use at release time. Companion resources on GitHub help you adopt the material quickly and tailor it to your stack, from monoliths to microservices and from on premises to cloud.