DevSecOps

DevSecOps is an approach to software development that prioritizes security in every stage of the development process. It aims to make security an essential part of software development, rather than a separate and reactive process. DevSecOps is an effort to strive for "Secure by Default." With DevSecOps, security is integrated via tools, creating a security-as-code culture, promoting cross-skilling, and enabling automation and cultural changes.

DevOps moves at a rapid pace, and traditional security can’t keep up. DevSecOps makes it easier to manage the fast pace of development and large-scale secure deployments. It allows for much smoother scaling of processes, and security as part of the process is the only way to ensure safety.

To implement DevSecOps, you need to integrate security tools into your DevOps pipeline. Pre-commit hooks, IDE security plugins, secrets management, software composition analysis, static analysis security testing, dynamic analysis security testing, security in infrastructure as code, vulnerability management, alerting and monitoring, asset monitoring, and pipeline optimization are some of the essential components of DevSecOps.

Pre-commit hooks are installed on developers' workstations to avoid sensitive information like access keys, access tokens, SSH keys, etc. from being erroneously leaked due to accidental git commits. IDE security plugins provide quick actionable pointers to developers and are useful to stop silly security blunders. Secrets management allows you to tokenize the information, so leakage can't result in an abuse scenario.

Software composition analysis performs checks to identify vulnerable or outdated 3rd party libraries. Static analysis security testing is white-box security testing using automated tools that weed out low-hanging fruits like SQL injection, cross-site scripting, insecure libraries, etc. Dynamic analysis security testing is black/grey-box security testing using automated tools that help in picking out deployment-specific issues. Results from dynamic and static analysis security testing can be compared to weed out false positives.

Security in infrastructure as code allows you to document and version control the infra, perform audits on the infrastructure and assess base images to identify inherited vulnerabilities. The vulnerability management system can then be integrated into bug-tracking systems to allow developers to work on items. Alerting and monitoring are needed to understand if security controls are adequate and where we need to improve. Asset monitoring includes anything and everything where organizational data resides.

Pipeline optimization is essential to tweak the pipeline based on milestones, with the initial onboarding being tedious. Ensure data-dependent tools get frequent data refreshes, optimize the pipeline by running a full (non-optimized) pipeline periodically, and fast-track the pipeline based on the type of changes made.

In conclusion, by integrating security into the DevOps pipeline, you can make your software development more secure and ensure that your organization's data is safe from cyber threats.