Lifecycle security
A secure software development lifecycle makes security part of product planning, architecture, implementation, verification, release, operation, and vulnerability response. It does not create a separate final security phase. Each stage produces evidence and constraints that the next stage can use.
The lifecycle begins with protection needs and expected misuse. It ends only when the software and its data are retired. Deployed software continues to change through configuration, dependencies, identities, infrastructure, threats, and operator actions.
Requirements and design
Define security requirements with functional requirements. Name the protected assets, actors, data, security properties, unacceptable outcomes, and measurable bounds. Add misuse and abuse cases. Map trust boundaries, data flows, privileges, dependencies, failure modes, and recovery paths.
Review architecture before implementation makes unsafe assumptions expensive. Prefer small trusted components, safe defaults, narrow interfaces, explicit authorization, strong isolation, and mechanisms that eliminate weakness classes. Record design decisions and residual risk so later reviewers can test the same claims.
Implementation, build, and release
Use maintained frameworks and safe APIs for authentication, authorization, parsing, output encoding, cryptography, secrets, and logging. Protect source, build systems, signing material, dependencies, and release artifacts. Require review for security-sensitive changes. Produce provenance that connects the released artifact to its source and build process.
Verification includes unit and integration tests, negative authorization tests, static and dynamic analysis, fuzzing where parsers or protocols need it, dependency review, configuration checks, and focused manual review. A release gate must test the deployed configuration and artifact, not only source code.
Vulnerability response and learning
Provide a way to receive vulnerability reports. Triage by actual exposure and impact. Fix the root cause, test the full exploit path, publish clear affected versions, deploy the remediation, and verify adoption. Analyze recurring weakness classes and change frameworks, defaults, tests, and design guidance so the same defect becomes harder to create.
Failure and limits
A checklist can become evidence-free ceremony. Tool output can create false confidence when the tool does not understand business state or deployment paths. A secure build can be deployed with an unsafe configuration. A fast patch can introduce a second failure if rollback and verification are absent.
Pomerium boundary
Pomerium can be one security mechanism in the lifecycle. Teams must still define which routes it protects, close alternate paths, validate upstream identity, keep application authorization, manage dependencies, test failures, and operate recovery. Pomerium cannot replace secure software design or verification inside the protected application.
Evaluation checklist
- Do security requirements trace to assets, misuse cases, and measurable outcomes?
- Does design review occur before implementation locks in trust boundaries and authority?
- Do developers use safe libraries and interfaces for common security mechanisms?
- Does verification include negative behavior, deployment configuration, and alternate paths?
- Can the team connect a released artifact to reviewed source and a controlled build?
- Does vulnerability response change the root cause, tests, and development system?
