Embedding Security in Software Development Lifecycle: Golden Path Development
For platform engineers and security architects looking to embed automated security controls into development workflows.
Organizations experience security incidents due to a fundamental disconnect: security teams are responsible for all security problems, yet developers control the infrastructure configurations, dependency choices, and code implementations that directly impact security. Golden Path Development solves this by embedding automated security capabilities directly into development workflows, transforming security from a developer burden into invisible platform capabilities. You can start immediately with a 60-day approach focusing on secrets scanning, security checks, and dependency analysis to achieve measurable security improvements.
The Core Problem
There is a fundamental disconnect between security team responsibilities and developer scope of work. Security teams are expected to handle all security problems, while many development elements that directly impact security are within the developer's scope of work.
Security risk cost exponentially more to fix later in the development lifecycle, and manual security processes create bottlenecks that force developers to choose between security and delivery timelines.
Golden Path Development Solution
Golden Path Development is a platform engineering approach that provides pre-configured, secure-by-default templates and automated workflows for developers. It creates standardized pathways from code development to production deployment, embedding security controls directly into the development environment rather than treating security as a separate process.
Key Differentiator: Unlike traditional approaches that add security as external gates or manual reviews, golden paths integrate security as invisible infrastructure. Developers follow familiar development patterns while security controls operate automatically in the background.
Security Capabilities for Golden Path
Based on AWS Prescriptive Guidance for Internal Developer Platforms, implementing golden paths requires specific security capabilities distributed across development lifecycle phases:
| Capability | Description | SDLC Phase | Domain |
|---|---|---|---|
| Linting | Infrastructure code syntax validation | Implement | Infrastructure |
| Security checks | Infrastructure code security analysis | Implement | Infrastructure |
| Policy checks | Organizational governance enforcement | Deploy | Infrastructure |
| Software composition analysis | Dependency vulnerability scanning | Implement | Application |
| Static application security testing | Source code security analysis | Implement | Application |
| Artifact registries | Container image security validation | Deploy | Application |
| Secrets scanning | Credential exposure prevention | Implement | Application |
| Dynamic application security testing | Runtime security validation | Test | Application |
| Runtime application self-protection | Production threat detection | Maintain | Application |
Implementation Details
1. Linting
Purpose: CloudFormation template syntax validation - "Will this work?"
Prevents deployment failures by catching basic syntax errors, invalid resource properties, and AWS service limitations early in development.
Tool: cfn-lint - AWS CloudFormation linter Implementation: Integrate into CI/CD pipelines and IDE plugins for real-time feedback
2. Security Checks
Purpose: Infrastructure code security analysis - "Is this secure?" (Infrastructure focus)
Identifies potential security misconfigurations in CloudFormation and CDK templates before deployment.
Examples: S3 buckets with public access, overly permissive security groups, unencrypted databases Tool: cfn-nag or cdk-nag Implementation: Embed in CI/CD pipelines alongside linting
3. Policy Checks
Purpose: Organizational compliance enforcement - "Does this comply with our rules?"
Validates infrastructure configurations against business rules, compliance requirements, and operational standards.
Examples: Prohibited regions, cost limits, mandatory tags, data residency requirements Tool: AWS CloudFormation Guard Implementation: Define policies as Guard rules, integrate into deployment pipelines
4. Software Composition Analysis (SCA)
Purpose: Dependency vulnerability and license compliance checking
Identifies security vulnerabilities and licensing issues in third-party libraries declared in source code.
Examples: Vulnerable npm packages, outdated Python libraries, Java dependencies with CVEs Tools: Amazon Inspector, Anchore, or Snyk Open Source Implementation: Integrate into build processes with automated dependency updates
5. Static Application Security Testing (SAST)
Purpose: Source code security vulnerability detection - "Is this application code secure?"
Analyzes application code for security flaws without executing the program.
Examples: SQL injection, XSS vulnerabilities, hardcoded passwords, insecure cryptography Tools: Anchore or Snyk Open Source Implementation: Integrate into IDE and CI/CD pipelines with automated scanning
6. Artifact Registries
Purpose: Container image forensic security analysis
Performs layer-by-layer analysis of built container images to identify all components regardless of installation method.
Examples: Vulnerable base image packages, malware in layers, transitive dependencies Tool: Amazon ECR continuous scanning Implementation: Enable automatic scanning with deployment policies for vulnerable images
7. Secrets Scanning
Purpose: Prevention of hardcoded credentials in source code
Detects and blocks sensitive information from being committed to repositories.
Examples: AWS access keys, database passwords, API tokens, private keys Tool: git-secrets Implementation: Install as pre-commit hooks across all repositories
8. Dynamic Application Security Testing (DAST)
Purpose: Runtime vulnerability assessment of deployed applications
Tests running applications by simulating attacks against live endpoints.
Examples: Authentication bypasses, session management issues, API vulnerabilities Tool: Zed Attack Proxy (ZAP) Implementation: Deploy to test environment, trigger scans after deployment
9. Runtime Application Self-Protection (RASP)
Purpose: Real-time threat detection and response in production
Monitors application behavior and automatically responds to security threats.
Examples: Zero-day exploits, insider attacks, data exfiltration attempts Tools: Amazon GuardDuty Runtime Monitoring, Sysdig Falco Implementation: Deploy monitoring agents with automated response actions
60-Day Quick Start
Achieve immediate security improvements by focusing on high-impact, low-effort capabilities:
Weeks 1-3: Secrets Scanning
- Install git-secrets as pre-commit hooks
- Configure patterns for AWS keys and API tokens
- Impact: Zero credential exposure incidents
Weeks 4-6: Security Checks
- Integrate cfn-nag into CI/CD pipelines
- Configure rules for common misconfigurations
- Impact: 90% reduction in infrastructure vulnerabilities
Weeks 7-8: Software Composition Analysis
- Enable dependency scanning in build processes
- Configure automated vulnerability alerts
- Impact: 100% visibility into critical dependency vulnerabilities
Next Steps
Golden paths transform security from a developer burden into automated platform capabilities. The disconnect between security team responsibilities and developer scope of work creates security incidents—golden paths solve this by embedding security-by-default practices directly into development workflows.
Immediate Actions:
- Start with the 60-day quick wins approach focusing on secrets scanning, security checks, and dependency analysis
- Measure security improvements through reduced incidents and faster vulnerability remediation
- Build momentum for complete golden path implementation across all nine capabilities
- Establish security-by-default as the standard development experience
The goal is not to make developers security experts, but to make secure development the easiest path forward.
References
[1] Amazon Web Services. "What is SDLC (Software Development Lifecycle)?" https://aws.amazon.com/what-is/sdlc/
[2] AWS Prescriptive Guidance. "Capabilities of an internal developer platform." https://docs.aws.amazon.com/prescriptive-guidance/latest/internal-developer-platform/capabilities.html
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