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Shift Left Security: Embedding Security from Code to Reduce Risks, Costs, and Timelines

Auteur n°2 – Jonathan

By Jonathan Massa
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Summary – Delivering code without early security checks exposes the business to costly vulnerabilities, production delays, and compliance hurdles (GDPR, ISO 27001, SOC 2). Integrating SAST, DAST, and SCA into IDEs and CI/CD pipelines, extending the Definition of Done with security criteria, prioritizing critical threats, and automating scans uncovers flaws early, formalizes a secure-by-design framework, and leverages IaC templates and a secrets vault. Solution: adopt a lightweight Shift Left process that combines targeted governance, pragmatic tooling, continuous automation, and team training to secure code, drastically cut remediation costs, and preserve time-to-market.

Shift Left Security consists of integrating security checks during the design and development phases to detect vulnerabilities early and reduce remediation costs and timelines. By moving Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST) and Software Composition Analysis (SCA) into IDEs and CI/CD pipelines, teams become more responsive and avoid costly rework.

This proactive approach also streamlines compliance with GDPR/Swiss Data Protection Act, ISO 27001 or SOC 2 by embedding measurable criteria into every user story and merge request. More than just a toolset, Shift Left becomes a shared mindset among development, operations, and security teams—ensuring preserved time-to-market and delivering safer code.

Lightweight Governance for Effective Shift Left

Appropriate governance defines priority threats and formalizes secure-by-design requirements. It extends security acceptance criteria into the Definition of Done to guide each development step.

Threat Prioritization and Secure-by-Design Policies

To establish lightweight governance, first identify the most critical threat vectors for your business context. Limit this list to a few high-impact scenarios (injection, data leakage, privilege escalation) to keep it actionable.

Based on this list, draft Secure-by-Design policies and distribute them to the product and development teams. These policies include coding best practices, recommendations for encrypting sensitive data, and rules for dependency management.

By confining governance to a narrow, relevant scope, teams avoid documentation overload while maintaining clarity. Each rule should be validated during code reviews and revisited quarterly as part of your Secure Software Development Life Cycle (SSDLC) review.

Security Acceptance Criteria in the Definition of Done

Extending the Definition of Done (DoD) with security criteria formalizes requirements at sprint planning. Every ticket must include a SAST checkpoint, a dependency scan, and a secrets audit.

These criteria appear in pull request checklists and block merges when critical vulnerabilities are detected. Lower-severity issues trigger alerts and create follow-up tickets.

Tracking these criteria in your project management tool ensures traceability and continuous visibility for managers. Tickets are only marked Done once all security milestones are checked off.

Case Study: Lightweight Governance in a Swiss SME

An industrial SME implemented a Secure-by-Design charter focused on five priority threats and ten coding best practices. This charter was published in Confluence and linked to Jira user stories.

In the first sprint, integrated SAST checks and dependency monitoring uncovered 25% critical vulnerabilities. Transparency around criteria enabled swift prioritization decisions.

Within two months, this lightweight governance reduced security rework by 40%, demonstrating that a simple, formalized framework drives team adoption.

Pragmatic Tooling to Secure the Pipeline from Day One

Selecting integrated, scalable tools enables security scans at commit time and throughout the CI/CD chain. Infrastructure as Code (IaC) templates and active dependency monitoring ensure a secure, up-to-date foundation.

Scanners Integrated into Repositories and CI/CD Pipelines

Embedding SAST, DAST, and Interactive Application Security Testing (IAST) into Git or GitLab repositories and into CI/CD pipelines provides immediate feedback at commit or push time. Developers receive strong signals to remediate vulnerabilities in real time.

Scans can run as pre-commit hooks or as parallel CI jobs to avoid slowing the main pipeline. Results are exported as HTML or JSON reports for automated processing.

Coupled with quality gates, any pull request with critical vulnerabilities is blocked, while lower-severity issues are logged for later prioritization.

Secure IaC Templates and Dependency Monitoring

Using preconfigured IaC templates with built-in security rules (least privilege permissions, automatic key rotation) reduces human error during provisioning. These templates are versioned and audited regularly.

An active SCA continuously scans dependencies for known vulnerabilities and alerts teams as soon as a new flaw is published.

Regular updates of templates and denylists prevent debt accumulation and minimize vendor lock-in by endorsing validated open-source alternatives.

Secrets Management in the Pipeline

Integrating a secrets scanner into the pipeline immediately flags accidentally committed keys or passwords. These tools match each commit against common secret patterns.

Detection triggers a ticket and can even automate compromised key rotation by calling secret manager APIs. This rapid response minimizes exposure.

Beyond scanning, deploying a centralized vault—accessible via IDE and Gradle/Maven plugins—steers developers toward standardized secret usage and avoids storing sensitive data in code.

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Continuous Pipeline Automation for Security

Git hooks and parallel CI jobs provide an initial layer of checks before manual review. Reports link directly to tickets for transparent, structured tracking.

Pre-push Hooks and Parallel CI Jobs for Early Feedback

Installing pre-push hooks enforces local SAST and SCA execution. Developers fix vulnerabilities before triggering the CI pipeline, saving CI resources.

Simultaneously, parallel CI jobs run heavier scans (DAST, IaC tests, dynamic security tests) without extending the main pipeline’s duration. Results are consolidated in a single dashboard.

This smart duplication—local and CI—ensures maximum security coverage while preserving development agility and responsiveness.

Actionable Reports and Ticket Integration

Reporting tools generate structured files that automatically integrate with your ticketing system. Each vulnerability becomes a ticket with severity, context, and precise code location.

Security teams can define internal SLAs by risk level, ensuring rapid handling of critical issues and realistic prioritization of less urgent flaws.

Automated tracking reduces the chance of oversight and fosters collaboration between developers and SecOps teams, uniting them around a shared view of priorities and security debt.

Example: Automation Speeding Up Vulnerability Detection

A banking sector organization deployed pre-commit hooks and parallel CI jobs to scan every merge request. Integration with Jira created tickets within seconds when a critical flaw surfaced.

Result: The remediation window shrank from several days to under four hours on average, cutting production incidents by 30%. This demonstrates the power of targeted automation.

The approach also boosted best-practice adoption, as developers saw the immediate impact of their fixes on pipeline results.

Skill Building and Feedback Loops to Embed Security

Regular micro-training and threat modeling workshops help instill a security culture. Key metrics and quarterly reviews fuel a virtuous cycle of continuous improvement.

Micro-Training and Threat Modeling Workshops

Offer short (30–45 minute) sessions on focused topics (OWASP Top 10, token management, encryption practices) to drive adoption among developers and product owners. Integrate these trainings into the sprint backlog.

Threat modeling workshops map user stories to real-world use cases to collectively spot areas of concern. Participants chart data flows and assess associated risks.

These collaborative sessions foster mutual understanding between dev and security teams and enrich policies without heavy committees or inaccessible documentation.

Gamified Exercises to Reinforce Practice

Internal challenges—such as Capture The Flag (CTF) events or mock vulnerability hunts—boost engagement and make security fun. Teams compete with a learning goal in mind.

Held quarterly for half a day, these scenarios align with the company’s tech stack to maximize relevance.

Beyond fun, these sessions uncover new flaws and strengthen collective vigilance. They often generate improvement ideas for policies and IaC templates.

KPIs and Quarterly Policy Reviews

Define several KPIs to measure Shift Left effectiveness: vulnerabilities detected per sprint, Mean Time to Remediate (MTTR) for security, scan coverage rate, and SLA compliance.

Each quarter, a lightweight committee (CIO, lead developer, security champion) reviews these indicators and adjusts policies. Thresholds are updated to reflect current maturity levels.

This feedback loop ensures your security framework evolves alongside emerging threats, technological advances, and business needs.

Shift Left Security as a Foundation for Digital Excellence

Shift Left Security balances lightweight governance, pragmatic tooling, continuous automation, and skill building. This combination significantly reduces incidents, preserves your time-to-market, and simplifies compliance.

By embedding security into every user story and merge request, you transform code into a competitive asset. KPIs and feedback loops drive continuous improvement, while teams naturally adopt best practices.

No matter your maturity level, our experts can help you build a tailored Shift Left framework suited to your context and constraints. Together, we’ll define a pragmatic, scalable action plan to embed security into your digital DNA.

Discuss your challenges with an Edana expert

By Jonathan

Technology Expert

PUBLISHED BY

Jonathan Massa

As a senior specialist in technology consulting, strategy, and delivery, Jonathan advises companies and organizations at both strategic and operational levels within value-creation and digital transformation programs focused on innovation and growth. With deep expertise in enterprise architecture, he guides our clients on software engineering and IT development matters, enabling them to deploy solutions that are truly aligned with their objectives.

FAQ

Frequently Asked Questions About Shift Left Security

What are the benefits of Shift Left Security?

Shift Left security allows vulnerabilities to be detected during development via SAST, DAST, and SCA integrated into IDEs and CI/CD pipelines. You reduce remediation costs by quickly fixing flaws, avoid rework, and improve traceability through security criteria embedded in each user story. Additionally, you enhance compliance (GDPR, ISO 27001…) and preserve your time-to-market by making remediation processes transparent and automated.

How do you integrate SAST, DAST, and SCA during development?

To integrate SAST, DAST, and SCA from the start of development, install plugins or extensions in the IDE for immediate feedback on commits, configure parallel CI jobs in your GitLab/GitHub Actions pipeline, and set up quality gates that block merges on critical vulnerabilities. Automate dependency scans via SCA and configure a pre-commit hook to run checks locally. Finally, document these steps in the Definition of Done to ensure they are consistently followed.

How do you establish lightweight governance for Shift Left?

Lightweight governance focuses on a few priority threats (injection, data leakage, privilege escalation) and formalizes Secure by Design policies limited to 8–10 best practices. Write these rules in an accessible repository (Confluence, internal wiki), integrate them into user stories and code reviews, and schedule a quarterly review. The goal is to provide a clear framework without excessive documentation, with security acceptance criteria validated on each merge request.

Which KPIs should be tracked to evaluate the effectiveness of Shift Left?

To measure Shift Left effectiveness, track KPIs such as the number of vulnerabilities detected per sprint, security MTTR (Mean Time To Remediate), SAST/DAST scan coverage rate, and compliance with internal SLAs. Add indicators for the percentage of pull requests blocked by quality gates and the average time between detection and remediation. These metrics feed into your quarterly reviews to fine-tune governance and optimize tools.

What common mistakes should you avoid when implementing Shift Left?

Common pitfalls include heavy governance that generates unnecessary documentation, absence of blocking quality gates, or failure to integrate local scans (pre-commit). Not formalizing criteria in the Definition of Done and neglecting dependency monitoring leads to technical debt. Also avoid underestimating team training and ongoing enforcement of Secure by Design policies, which are essential for sustainable adoption.

How do you integrate secrets management into a CI/CD pipeline?

To secure secrets, integrate a dedicated scanner in the CI/CD pipeline that identifies keys or passwords in commits. Couple it with a centralized vault (HashiCorp Vault, AWS Secrets Manager) accessible via IDE plugins or Gradle/Maven scripts to centralize and version credentials access. Automate rotating secrets via API upon detection, and include an automatic ticket for any leak, ensuring rapid response and full traceability.

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