Secure SDLC Policy
Generate a Secure SDLC Policy covering threat modelling, code review, dependency and secrets scanning, and the testing gates a reviewer expects before release.
What's in the policy
Defines how security is built into design, code review, testing, and release rather than bolted on afterwards.
What the document actually says
These are the standing requirements every generated copy of the document is written from — the clause text itself, not a description of it. The document you receive is drafted on top of them: it expands on them and fills the current-state detail from your intake, and the generator is instructed to keep them, to state them fully, and never to claim a certification or invent a fact you did not supply.
What has to happen before anyone writes code
The review gate, and the rule about secrets
What the pipeline runs, and where real customer data may not go
Filled in for a real stack
Code review & deployment: To be confirmed. Vulnerability management: To be confirmed.
Code review & deployment: branch protection on main requires one approving review from a second engineer plus a green GitHub Actions run, and nobody pushes to main. Vulnerability management: Dependabot alerts triaged weekly and CodeQL run on every pull request, with critical advisories patched before the next release.
What the auditor asks for alongside it
Where these documents go stale
A secure SDLC policy describes a pipeline, and pipelines get edited by people not reading it. A dependency scanner starts failing on a transitive advisory nobody can fix, so the job is marked non-blocking and stops gating anything. A repository is created outside the organisation and inherits none of its scanning defaults. Threat modelling lasts as long as the person who started it. Secrets scanning is added and the alerts route to a channel nobody joined. None of it edits a word of the document; all of it makes the document wrong. What re-validates it is reading the clauses against the settings: confirm the security job is a required check rather than an advisory one, walk the repository list for the ones created outside the defaults, and regenerate the document when your code review and vulnerability management answers change.
Tell us about your stack
Answer a short intake — cloud, data types, tools. No agents to install.
We generate a tailored draft
Not a blank template: a document written for your environment and pre-mapped to controls.
Review, edit, and share
Export it or attach it straight to an enterprise security review or questionnaire.
Secure SDLC Policy, answered
What is a secure SDLC policy?
A secure SDLC policy states how security is built into each phase of software development — design, coding, review, testing, release — rather than tested for at the end. It is the document a reviewer opens to learn whether security is a stage in how you work or an event that happens to you.
What should a secure SDLC policy include?
A complete secure SDLC policy covers threat modelling for significant features, documented data flows, secure-coding standards tied to a named list such as the OWASP Top 10, mandatory peer review before merge, a secrets rule, automated security testing inside the pipeline, dependency monitoring, and separated development, staging and production environments.
How is this different from the change management policy?
Secure SDLC governs how software gets built: the threat model, the coding standard, the review, the scanners. Change management governs the authorisation wrapped around a release — who signs it off, who may deploy it, how it is taken back out. Reviewers ask for both.
Does SOC 2 require a secure SDLC policy?
SOC 2 does not list documents. CC8.1 covers the whole life of a change, from how it is designed to how it is approved and released, and most auditors accept two documents against it — one for how software is engineered, one for how a release is controlled. This is the first of those.
Does it cover AI-assisted or AI-generated code?
The Secure SDLC Policy applies its gates to code regardless of who or what authored it: peer review before merge, secrets kept out of the repository, static analysis and dependency scanning in the pipeline. Rules about which AI tools your engineers may use for that authoring sit in the AI Acceptable Use Policy.
Does the policy name specific scanning tools?
No. The Secure SDLC Policy requires security testing — static analysis, dependency scanning, or both — to be integrated into the pipeline, and leaves the product choice to you. What you actually run lands in the Current implementation section, written from the code review and vulnerability management answers you give at intake.
How does Pentest Today generate the policy?
Answer a short intake about your stack and we generate a tailored draft — not a blank template — pre-mapped to the controls your framework requires. You review, edit, and export it.
Can I edit the generated policy?
Yes. Every document is a starting draft you can edit, brand, and export. It's written to be review-ready but stays fully under your control.
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