Secure development policy

A secure development policy is a documented set of rules for how your organization designs, builds, tests, and deploys software and systems for cloud-based applications and services, and you must apply those rules consistently across in-scope development work. ISO/IEC 27017:2015 Clause 14.2.1 expects written standards plus operational proof that engineering teams follow them in day-to-day delivery (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services).

Key takeaways:

• You need written secure development rules that explicitly cover cloud deployment realities: APIs, infrastructure-as-code, and configuration management.
• Auditors will test “applied” by sampling tickets, pull requests, builds, and releases—not by reading your policy.
• Treat the policy as an enforceable SDLC standard with clear roles, gates, and required evidence.

“Secure development policy” often gets mistaken for a generic secure coding document. Clause 14.2.1 is broader: it requires you to establish rules for software and system development and apply them to development activities inside your organization for cloud-based applications and services (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services). For a CCO, GRC lead, or Compliance Officer, the fastest path to operationalizing this is to translate the requirement into enforceable engineering rules that show up in delivery workflows: backlog entry criteria, pull request checks, CI/CD build requirements, release approvals, and post-release monitoring.

This page gives you requirement-level implementation guidance you can deploy quickly: who must follow it, what the policy must say (and what it must not omit in cloud contexts), how to roll it into engineering operations without boiling the ocean, and what evidence to retain so an auditor can confirm that the rules are both defined and consistently followed. The goal is not a long policy binder; it is repeatable secure delivery with artifacts you can produce on demand.

Regulatory text

Requirement (excerpt): “Rules for the development of software and systems shall be established and applied to developments within the organization for cloud-based applications and services.” (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services)

Operator interpretation (plain English)

You must do two things:

1. Establish rules: Write down the required security practices for building and changing cloud-based applications and services (including cloud configurations that behave like “code,” such as infrastructure-as-code templates).
2. Apply the rules: Make those rules real in the way work is planned, built, tested, approved, and deployed. Auditors will expect evidence that teams follow the rules, not just that the rules exist.

For cloud specifically, your secure development policy should clearly address: secure coding practices, cloud API security, and configuration management for cloud deployments (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services).

Who it applies to

Entity scope

• Cloud Service Providers (CSPs) building and operating cloud-based applications/services for customers.
• Cloud Service Customers developing applications/services that run on cloud platforms, including SaaS configurations, custom code, and platform integrations.
  (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services)

Operational scope (what work is “in scope”)

Treat this as applying to all internally-controlled development affecting cloud-based services, including:

• New features, bug fixes, refactors, and dependency upgrades
• CI/CD pipeline changes and build scripts
• Infrastructure-as-code, policy-as-code, and deployment manifests
• API design and changes (public and internal)
• Configuration changes that can impact security (IAM policies, network rules, secrets management patterns)

If engineering work is performed by a third party but managed under your SDLC processes, you should still apply your rules contractually and operationally (for example, requiring PR reviews and security checks before merge).

What you actually need to do (step-by-step)

Step 1: Define the policy’s minimum required content (what auditors expect to see)

Write a secure development policy (or “secure SDLC standard”) that includes, at minimum:

• Scope statement: Which products, repos, pipelines, and environments are covered (cloud apps/services).
• Roles and responsibilities: Engineering, security, and operations responsibilities; who can approve exceptions.
• Secure coding rules: Language-agnostic rules plus references to internal standards by language/framework where needed.
• Cloud API security rules: Authentication/authorization requirements, input validation, error handling, and versioning/deprecation practices.
• Configuration management rules for cloud deployments: Change control for IaC, environment separation, baseline hardening approach, secrets handling, and drift detection expectations.
• Security testing and release gates: Required reviews, required scans/tests, and what blocks a release.
• Vulnerability handling: How findings are triaged, remediated, and verified; how emergency fixes are handled.
• Exception process: Time-bound exceptions with risk acceptance, compensating controls, and tracking.

This is where many policies fail: they stay high-level and never specify what is mandatory versus recommended. Use “must/shall” for requirements and keep “should” rare.

Step 2: Map rules to SDLC control points (make it “applied”)

Take each rule and decide where it will be enforced:

• Backlog (before coding): Security requirements or abuse cases for high-risk features; threat modeling triggers for sensitive changes.
• Pull request (PR): Required peer review; security sign-off triggers; secure coding checklist.
• CI build: Automated tests and checks; block builds on critical security failures per your policy.
• Release: Approval workflow; change record; evidence capture.
• Post-release: Logging/monitoring requirements; vulnerability intake and patch workflows.

You do not need to automate everything immediately, but you do need a consistent mechanism that demonstrates the rules are applied.

Step 3: Create “definition of done” and “release readiness” criteria

Turn the policy into two operational checklists teams can follow:

• Definition of Done (DoD) for engineering stories: code reviewed, tests pass, required security checks run, secrets not introduced, configuration changes reviewed.
• Release Readiness: required approvals, change documentation, and confirmation that security gates passed.

Keep these checklists short enough that teams will actually use them. If you have multiple product lines, create a core baseline plus add-ons for higher-risk services.

Step 4: Implement an exception workflow that doesn’t become a loophole

Your exception process should require:

• Business justification and scope
• Risk description and compensating controls
• Named approver(s) with authority to accept risk
• Expiration criteria and a plan to remove the exception
• A central register that can be audited

Auditors look for “silent exceptions,” like teams bypassing controls because deadlines are tight. A formal workflow reduces that risk and gives you defensible evidence.

Step 5: Train the right people, then validate adoption with sampling

Training should be role-based:

• Engineers: secure coding expectations, API rules, secrets handling
• DevOps/SRE: configuration management, IaC review, deployment controls
• Engineering managers: enforcement accountability, exception approvals

Then validate with lightweight sampling: select recent releases and verify required artifacts exist (PR reviews, pipeline results, approval records). Sampling is your early-warning system before an audit.

Step 6: Build your evidence pack (so audits don’t become fire drills)

Create a standard audit folder (or GRC collection) per product/service with:

• Current secure development policy version
• Secure SDLC procedures/checklists
• Evidence of enforcement (CI logs, PR review records, release approvals)
• Exception register and approvals
• Training completion records for relevant roles
• Recent sample of changes showing rule adherence

Tools can help here. Many teams use Daydream to track control requirements to concrete evidence requests, assign owners, and keep artifacts current without chasing engineers at the last minute.

Required evidence and artifacts to retain

Retain artifacts that prove both existence (policy) and application (execution). Typical evidence includes:

• Policy document with versioning, approval, and review history
• Secure coding standards and engineering guidelines referenced by the policy
• API security standards (even if brief) referenced by the policy
• Configuration management standards for cloud deployments (IaC review, secrets rules, environment controls)
• SDLC workflow documentation: PR process, CI/CD gates, release approval steps
• System records (samples): PR approvals, required checks passing, build logs, release tickets/records
• Security findings records: triage notes, remediation commits, verification evidence
• Exception register with approvals and expirations
• Training records and onboarding materials for developers and DevOps

Keep samples tied to specific releases so you can show an auditor a straight line from “rule” to “change” to “evidence.”

Common exam/audit questions and hangups

Auditors and assessors tend to probe these areas:

• “Show me the rules.” Is there a formal secure development policy covering cloud-based apps/services? (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services)
• “Show me it’s applied.” Pick a recent release and demonstrate PR review, testing, approvals, and configuration change control.
• “How do you handle cloud configuration changes?” Are IAM/network/secrets/IaC changes reviewed and tracked under the same rules?
• “How do you manage APIs?” What are the security requirements for authentication, authorization, and breaking changes?
• “How are exceptions controlled?” Who approves, how long do exceptions last, and how do you ensure closure?

Hangup to expect: teams often have strong practices but weak documentation. Clause 14.2.1 requires both.

Frequent implementation mistakes (and how to avoid them)

1. Policy says “follow best practices” with no testable rules.
   Fix: write explicit “must” statements and link each to an enforcement point (PR, CI, release).

2. Cloud configuration is treated as ops-only, outside secure development.
   Fix: explicitly scope infrastructure-as-code and cloud security configuration into the secure development policy.

3. API security is missing or implied.
   Fix: add minimum API requirements (authn/authz, input validation, error handling, versioning) and define review triggers for new endpoints.

4. No evidence trail.
   Fix: define a standard evidence set per release. Make it a release requirement to store links (PR, pipeline run, approval).

5. Exceptions are informal (“we’ll fix later”).
   Fix: require logged exceptions with approval and expiration, then review them regularly.

Enforcement context and risk implications

No public enforcement cases were provided in the source catalog for this requirement, so you should manage it as a control assurance and risk reduction obligation rather than a “find a fine” exercise. The operational risk is straightforward: without defined and applied development rules, cloud releases drift, insecure APIs ship, and configuration changes introduce security gaps that are hard to detect after the fact. In audits, the most common negative outcome is a finding that policy exists but isn’t consistently followed.

Practical execution plan (30/60/90)

Time-boxing helps, but exact durations vary by org size and release velocity. Use this phased plan:

First 30 days (Immediate)

• Inventory in-scope products/repos/pipelines for cloud-based services.
• Draft the secure development policy with explicit cloud API security and configuration management requirements.
• Define the minimum evidence set for a release (what links/records must be retained).
• Stand up an exception register and approval workflow.

By 60 days (Near-term)

• Roll policy requirements into SDLC workflows: PR templates, CI checks, release checklist.
• Train engineering leads and developers on the required rules and what blocks a release.
• Run an internal mini-audit: sample recent changes and confirm artifacts exist and exceptions are logged.

By 90 days (Operationalize and stabilize)

• Expand enforcement coverage: more repos/pipelines, tighter gating where practical.
• Establish a cadence to review exceptions and recurring findings.
• Prepare an “audit-ready” evidence pack per major service and keep it current in your GRC system (Daydream can help keep mappings and evidence requests organized across teams).

Frequently Asked Questions

Do we need a separate secure development policy for cloud, or can we extend our existing SDLC policy?

You can extend an existing SDLC policy, but it must explicitly cover cloud-based applications and services, including cloud API security and configuration management for cloud deployments (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services).

What counts as “applied” in an audit?

Expect sampling. Auditors typically select recent changes and ask for proof of required reviews, CI checks, approvals, and documented exceptions that match your written rules.

Does this apply to infrastructure-as-code and Terraform changes?

Yes in practice, because those changes are “development of systems” and directly affect cloud security configuration. Put IaC review, approval, and testing requirements inside the secure development policy scope.

We have strong engineering practices but they’re tribal knowledge. Is that enough?

No. Clause 14.2.1 requires that rules are established and applied, so you need written standards plus evidence that teams follow them (ISO/IEC 27017:2015 Information technology — Security techniques — Code of practice for information security controls based on ISO/IEC 27002 for cloud services).

How do we handle third-party developers or outsourced teams?

Contractually require your secure development rules, then enforce them through your tooling and workflow (for example, PR reviews and CI gates in your repos). Keep evidence the same way you would for internal teams.

What’s the minimum viable evidence pack for a release?

A link to the change request/ticket, PR with reviews, CI results, release approval record, and any exceptions with approvals. The key is traceability from policy requirement to execution proof.