Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In modern CI/CD pipelines, source code moves fast, and repository state changes constantly. Manual backups are inherently fragmented, error-prone, and incapable of capturing platform metadata at scale. To prevent critical data loss and ensure rapid failover, engineering teams must automate their repository backups.

Attacking a CI/CD pipeline used to require a specialist who understood Git internals, cloud identity, and the way build runners handle secrets. That is no longer true. The barrier to entry for an advanced attack has dropped to the level of writing prompts in English. Automation itself is not new to DevOps, but AI has raised its ceiling on both sides of the fence.

9,255 hours and 26 minutes. That’s the combined downtime and degraded service duration that GitHub, GitLab, Bitbucket, Azure DevOps, and Jira publicly reported in 2025, across 607 incidents tracked in our DevOps Threats Unwrapped 2026 report. Critical and major incidents rose 69% year over year, with overall incident volume growth at 40%—a trend that cannot be ignored and a related cost that must be properly measured.

Building an effective AI DevOps stack in 2026 comes down to balancing platform-native assistants for workflow speed with specialized engines for security, infrastructure, and delivery governance. This guide evaluates the 8 leading tools across both categories to help you select the right mix for your architecture and security requirements. This approach reflects a fundamental shift in engineering capabilities.

When ransomware hits, decision makers face an impossible ultimatum: pay the ransom or lose business operations. In software development, data criticality also comes to the forefront. That’s because source code isn’t just some trivial data, but primary intellectual property and a revenue driver. Let’s see what’s exactly at stake and how you can minimize the risk of paying a ransom for your tech business.

Organizations often assume their Microsoft 365 assets are fully protected by native backup tools. However, while Microsoft does offer advanced built-in backup and recovery features, relying solely on a native approach is not a substitute for an independent, enterprise-grade backup strategy. The risks of relying on a single ecosystem for backups are escalating.

GHE.com introduces migration, identity, and integration changes.– Some GitHub data may still be processed outside the chosen region.– ta residency still needs a separate backup and recovery strategy. For many enterprises, GitHub is now one of the most important parts of the DevOps ecosystem, where teams manage repositories, pull requests, issues, workflows, GitHub Actions, security alerts, project data, and other metadata that keeps software delivery moving.

Your source code sits on GitHub, GitLab, Bitbucket, or Azure DevOps, along with your pipeline configurations, issue history, permissions, and metadata. Most teams assume it’s safe there because it works. But is it? Financial institutions, technology companies, and software houses all build the systems they run on. Code stopped being a byproduct of the business and became the business. And as it turns out, it needs protection of its own.