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02/08/2026 11:35 am
TL;DR: Secure software development lifecycle practices embed threat modeling, secure coding, testing, and monitoring across design through maintenance, while OX Security highlights that nearly 90% of codebases contain open-source code over four years old and 80% of modern application code originates from open source. That combination makes supply chain hygiene, access control, and pipeline governance a practical security requirement, not a development preference.
NHIMG editorial — based on content published by OXSecurity: secure SDLC and the evolution of application security
By the numbers:
- 90% of codebases contain open-source code over four, er four years old.
- 80% of code in modern applications originates with open-source projects.
- 91% of codebases haven’t had new development in over two years.
Questions worth separating out
Q: How should security teams implement secure SDLC controls across modern delivery pipelines?
A: Start by defining security requirements at design time, then enforce code scanning, dependency review, and verification before release.
Q: Why do third-party dependencies create more supply chain risk than first-party code?
A: Third-party dependencies expand trust beyond the team’s direct control.
Q: What breaks when CI/CD access is not tightly governed?
A: Build and deployment systems become an easy path to bypass application defenses.
Practitioner guidance
- Embed security gates at each SDLC phase Define requirements, design, development, verification, and deployment controls with named owners and exit criteria for each stage.
- Inventory and approve third-party dependencies continuously Track libraries, packages, and components as governed assets, including provenance, support status, and patch cadence.
- Treat CI/CD credentials as privileged identities Scope pipeline tokens and deployment accounts to the minimum required tasks, rotate them regularly, and monitor for abnormal use.
What's in the full article
OX Security's full article covers the operational detail this post intentionally leaves for the source:
- The article breaks down the five SDLC phases and how each one maps to specific security tasks.
- It describes the role of SAST, SCA, DAST, code review, and monitoring in a secure delivery model.
- It explains the business benefits of SSDLC, including reduced cost, better quality, and supply chain risk reduction.
- It includes the vendor's view of how AI coding assistants change the security starting point in development.
👉 Read OXSecurity's analysis of secure SDLC and software supply chain risk →
Secure SDLC and supply chain risk: what IAM teams should notice?
Explore further
02/08/2026 12:49 pm
Secure SDLC is now an identity governance problem as much as an engineering problem. The article focuses on coding and testing, but the control plane behind modern delivery is full of service accounts, API keys, and deployment tokens. Those are non-human identities, and they need lifecycle ownership, scoping, and review just like human access. Practitioners should treat software delivery as a governed identity environment, not just a build process.
A question worth separating out:
Q: Who is accountable when an AI coding tool introduces insecure code into production?
A: Accountability stays with the organisation that allowed the tool to operate without enforced guardrails. The model is not the accountable party. Security, engineering, and platform owners share responsibility for defining policy, enforcing it at runtime, and logging the decision trail that proves controls were applied.
👉 Read our full editorial: Secure SDLC shifts software risk left before code reaches production
