ISO 27001 Annex A 8.25 Secure Development Life Cycle requires that rules for the secure development of software and systems shall be established and applied.
Table of contents
Key Takeaways
- Establish SDLC Governance Policy: Document a comprehensive secure development policy in SharePoint defining security requirements across all phases of software creation.
- Embed Security into Design Guidelines: Maintain architecture standards, threat modeling frameworks, and secure coding practices in Confluence for technical teams.
- Integrate Security Gates into Project Workflows: Configure Jira workflows to mandate security reviews, threat modeling tasks, and sign-offs before sprint approval or release.
- Enforce Pre-Deployment Code Audits: Require formal peer code reviews, static security scanning (SAST), and dependency checks as mandatory gates in software deployment pipelines.
- Manage Security Defects in Backlogs: Track all identified vulnerabilities, code flaws, and penetration test findings as prioritized security tasks within Jira.
- Secure Testing and Staging Environments: Ensure development and testing environments replicate security configurations without exposing live production data.
- Train Developers on Secure Coding: Conduct regular training on OWASP top vulnerabilities, secure API design, and safe dependency management.
- Review Development Security Performance: Record periodic evaluations of software security metrics, vulnerability remediation times, and process compliance in management review minutes.
How to Implement ISO 27001 Annex A 8.25
- Draft Secure Development Guidelines: Publish a formal Secure Development Life Cycle (SDLC) policy in your SharePoint document library establishing mandatory security controls across all software build phases.
- Record Training Acknowledgment: Ensure all developers, system architects, and engineers complete annual secure coding training and acknowledge guidelines via versioned internal training logs.
- Embed Security Gates in Jira Workflows: Modify standard Jira issue workflows to include mandatory “Security Review” and “Threat Model” status checks prior to sprint completion or production deployment.
- Document Architectural Design Reviews: Use Confluence to map out system architecture, data flow diagrams, and threat modeling assessments for all new software features and major revisions.
- Mandate Manual Peer Code Reviews: Require documented peer reviews for all production-bound code changes to verify secure coding practices and detect vulnerabilities before merging.
- Maintain Verification Logs in Wiki: Capture code review sign-offs, vulnerability remediation notes, and static scan outputs in version-controlled Confluence wiki pages.
- Conduct Monthly Security Oversight Meetings: Schedule regular development security reviews to analyze software risks, dependency vulnerabilities, and backlog items, capturing formal notes in management review minutes.
- Enforce Separation of Development and Production: Ensure development and testing operations are kept strictly segregated from production environments with no live customer data used in non-production code testing.
When you’re ready to bring compliance into one place
How to Audit ISO 27001 Annex A 8.25
- Inspect Secure Development Policies: Review secure coding standards and software development lifecycle (SDLC) policies in SharePoint to confirm security rules for design, coding, testing, and deployment are formally established.
- Verify Secure Architecture & Threat Modeling: Sample architecture design records and threat modeling documents in Confluence for recent development projects to verify security risk assessments were conducted prior to coding.
- Audit Source Code Repository Controls: Check repository permissions (e.g., GitHub, GitLab) to ensure main branches are protected, require peer code reviews, and restrict direct push access.
- Sample Automated Security Testing Logs: Inspect CI/CD pipeline configurations and build logs to verify Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), and Dependency Scanning tools run automatically on code commits.
- Check Secret Management in Code: Review automated secret scanner results (e.g., GitGuardian, Trufflehog) to confirm no API keys, credentials, or private tokens are committed in source code repositories.
- Verify Software Supply Chain Security: Examine Software Bill of Materials (SBOM) tracking and Software Composition Analysis (SCA) logs to confirm open-source component vulnerabilities (CVEs) are tracked and patched.
- Audit Developer Security Training Records: Sample training logs and Confluence attendance records to confirm developers and software engineers complete regular secure coding training (e.g., OWASP Top 10).
- Review Production Release Sign-Offs: Check Jira change management tickets to confirm release approvals require verified security test passes and vulnerability remediation prior to production deployment.
- Verify Separation of Environments: Sample development, testing, and production environments to confirm strict segregation is enforced and no live customer data is present in non-production environments.
- Audit Security Backlog Remediation: Sample outstanding security vulnerability tickets in Jira to verify flaws are assigned priority levels and remediated within designated SLA timeframes.
Audit Evidence Checklist
- Secure Development Policy Document: Present the master Secure Development Life Cycle (SDLC) Policy in SharePoint, complete with formal version history and management sign-off metadata.
- Jira Release & Security Sign-Off History: Supply full Jira ticket histories demonstrating completed security review gates, threat modeling sign-offs, and QA checks prior to code merging and production release.
- Confluence Peer Review & Architecture Logs: Provide documented peer review records, threat modeling assessments (e.g., STRIDE), and architectural security sign-offs published in Confluence.
- Developer Secure Coding Training Records: Share internal training logs and attendance trackers confirming developers and software engineers completed OWASP secure coding training.
- SDLC Management Review Minutes: Produce formal leadership meeting notes in SharePoint or Confluence documenting routine development security reviews, software defect metrics, and risk assessments.
- Vulnerability Backlog & SLA Tracking Logs: Supply Jira reports showing identified software vulnerabilities, SAST/DAST findings, and their remediation status within defined SLA timeframes.
- Environment Segregation & Access Proofs: Provide configuration evidence and access control logs confirming strict separation between development, staging, and production environments.
What to Teach Employees
- Follow OWASP Secure Coding Principles: Teach developers how to write secure code that prevents common application vulnerabilities such as SQL injection, cross-site scripting (XSS), and broken authentication.
- Never Hardcode Secrets in Code: Remind software engineers and DevOps teams to store API keys, tokens, and database passwords in secure key vaults rather than hardcoding them in git repositories.
- Enforce Mandatory Peer Code Reviews: Show developers why all pull requests must be reviewed by a peer to catch logic flaws, security vulnerabilities, and baseline policy violations before merging.
- Conduct Threat Modeling Early: Train product owners and system architects to perform threat modeling during initial feature design in Confluence rather than treating security as an afterthought.
- Manage Open-Source Dependencies: Show developers how to verify third-party libraries using Software Composition Analysis (SCA) tools to prevent introducing known CVE vulnerabilities into production.
- Integrate SAST and DAST in Pipelines: Train engineering teams to interpret automated static and dynamic security scanning results in CI/CD pipelines and fix high-severity findings promptly.
- Sanitize Input and Output Data: Teach software teams to validate, filter, and sanitize all user input and external data streams to prevent injection attacks and data corruption.
- Report Vulnerabilities Promptly: Train staff to escalate potential security flaws or zero-day vulnerabilities discovered in internal software via designated Jira security tickets immediately.
- Separate Test and Production Environments: Educate developers on why live customer data must never be copied into development or testing environments during feature testing.
Common Implementation Challenges
- Balancing Release Speed with Security Controls: Engineering teams under tight sprint deadlines often view automated CI/CD security gates (SAST/DAST) as blockers, leading to requests for security scan bypasses or delayed fixes.
- Vulnerability Noise and False Positives: High volumes of non-critical findings generated by automated static code analysis tools can cause alert fatigue, leading developers to ignore legitimate security warnings.
- Insecure Software Supply Chains: Deep dependency trees in modern open-source packages make it difficult to track, evaluate, and patch transitive CVE vulnerabilities across application microservices.
- Hardcoded Credentials in Git History: Developers accidentally committing API keys, tokens, or private certificates into source code repositories, requiring complex git history rewrites and key revocations.
- Skipping Threat Modeling in Agile Sprints: Fast-paced development environments often treat threat modeling as a documentation overhead, skipping architecture risk reviews in Confluence prior to writing code.
- Inconsistent Peer Code Reviews: Code reviews focused solely on functional feature validation rather than checking for security flaws like improper input validation, broken authorization, or unescaped outputs.
- Legacy Codebases Lacking Modern Controls: Older application architectures often lack baseline secure development hooks, making retroactive implementation of SAST tools or secret vaults challenging without major refactoring.
- Lack of Developer Security Expertise: Generic annual compliance training often fails to provide software engineers with practical, language-specific secure coding guidance needed for real-world development.
How to Measure Effectiveness (KPIs)
- Mean Time to Remediate Code Vulnerabilities: Measures the average duration required by engineering teams to patch critical and high-severity security flaws logged in Jira during SAST, DAST, or penetration testing.
- Hardcoded Secret Leakage Rate: Tracks the number of plain-text credentials, API keys, or access tokens detected in source code repositories during automated git commit scanning.
- CI/CD Security Gate Pass Rate: Measures the percentage of code builds that successfully satisfy automated security scanning policies on the first build attempt without requiring scan bypasses.
- Vulnerable Dependency Remediation Rate: Tracks the percentage of identified open-source component vulnerabilities (CVEs) updated or mitigated within designated SLA windows.
- Peer Code Review Compliance Rate: Measures the percentage of production-bound pull requests that underwent mandatory, documented peer security review in Confluence or version control before merging.
- Secure Coding Training Completion Rate: Tracks the percentage of active software developers, architects, and DevOps engineers who complete role-specific secure development training annually.
- Threat Modeling Coverage for Major Releases: Tracks the percentage of new features and major architectural changes that have documented threat modeling sign-offs in Confluence prior to sprint execution.
- Security Defect Density per Release: Measures the average number of security-related bugs identified per major deployment or sprint cycle.
Related ISO 27001 Controls
Annex A 8.25 relies on several other core ISO 27001 requirements.
- ISO 27001 Clause 8.1 requires operational planning and control.
- ISO 27001 Annex A 8.28 manages secure coding rules.
- ISO 27001 Annex A 8.31 governs environment separation.
- ISO 27001 Annex A 8.32 controls system changes. All these processes must link back to your central document management system.
