Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

SUMMARY 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.

Summary 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.

The open-source trust model is broken. Not strained, not under review—broken. For years, your team has pulled third-party code into your repositories on the reasonable assumption that a widely used dependency is safe. Popularity looked like a proof. Millions of downloads looked like a security review. TeamPCP has proven otherwise.

Confluence is used to store some of the most important knowledge across many organizations, such as technical docs, internal procedures, compliance materials, customer information, and even recovery instructions. This article explains the most important Confluence security best practices, how they differ from Jira security, and why backup and recovery should be part of a complete Confluence data protection strategy.

The new 2.4.0 release delivers complete protection for your entire Quality Assurance (QA) workloads in Azure DevOps. Teams on platforms hosted locally in Windows can now secure them with the AES encryption compliant with the federal, enterprise-grade FIPS standards. This release also packs other notable upgrades, including seamless Active Directory integration, a smarter repository exclusion mechanism, and full German language support. Dive into the full breakdown below.