Can We Tackle Security & Compliance in Our Deployment Pipeline?

· Source: Modern Software Engineering · Field: Technology & Digital — Software Development & Engineering, Cybersecurity & Data Privacy, Artificial Intelligence & Machine Learning · Depth: Intermediate, extended

Summary

A discussion on modern software engineering explores the feasibility and necessity of integrating security and compliance directly into deployment pipelines. The central argument posits that continuous delivery is not only compatible with but essential for robust regulatory compliance, moving beyond traditional adversarial views and bureaucratic processes. Examples include Siemens Healthcare's adoption of continuous delivery for safety-critical MRI/CT systems and an investment bank's shift to "continuous compliance" to ensure "it's safe to be a bank." Automation is highlighted as crucial, demonstrated by generating release documentation from Git commits and a German bank's platform achieving "idea to production safely in half a day." For security, the focus shifts to "securability," emphasizing inherently secure system design, supply chain security, and integrating multi-layered testing and automated penetration test findings into the pipeline.

Key takeaway

For DevOps or Security Engineers aiming to streamline compliance and enhance system security, recognize that continuous delivery is your most powerful tool. Automate all regulatory checks and security validations directly within your deployment pipeline, making it harder to release non-compliant or insecure code. This approach transforms compliance from a bureaucratic hurdle into an inherent, auditable property of your software, enabling faster, safer deployments and reducing operational risk.

Key insights

Continuous delivery is essential for automating and enforcing robust security and compliance, making systems inherently safer and more auditable.

Principles

Method

Automate release documentation via Git commits and Jira integration. Embed multi-layered security testing and convert penetration test findings into automated pipeline checks.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, DevOps Engineer, MLOps Engineer, Security Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Modern Software Engineering.