Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SUMMARY For a long time, the classic 3-2-1 backup rule was the industry standard. It served IT professionals incredibly well. But as the threat landscape evolves, your defenses need to evolve with it. To truly protect your intellectual property and guarantee that your teams can keep working no matter what happens, your company should consider upgrading to the ransomware-ready 3-2-1-1-0 rule.

SUMMARY – Inactive repositories are often mistaken for harmless dead code, but they are actually open doors into your network.– Threat actors do not search manually; they use automated scanners to parse thousands of files and extract secret patterns, access keys, and credentials.– The root of this vulnerability is an organizational lack of ownership and a missing lifecycle for code that is no longer actively developed.– Discover a practical DevSecOps approach to secure your shadow

Which industries are attracting the most attention from cybercriminals today? According to the DevOps Threats Unwrapped Report 2026, Technology and Software organizations remained the most targeted sector. This finding is consistent with our previous research in the 2024 CISO’s Guide to DevOps Threats, showing that attackers continue to focus heavily on organizations that build, manage, and distribute software. What changed, however, was the composition of the industries that followed close behind.

Git repository growth often looks harmless at first. A few large assets, generated files, dependency folders, old branches, release archives, test datasets, or binary files may not cause immediate problems. Developers can still commit, pipelines still run, and the repository appears manageable. Over time, however, unnecessary data accumulates in Git history and becomes a backup and recovery challenge.

AI adoption in the DevOps field has been extensive. Developers use agents daily to broaden context, automate coding, prototype, etc., saving time and minimizing the footprint of mundane tasks. But it’s not all about gains. Agentic AI enables and introduces security threats that were unknown just a few years ago. With machine speed and scale, these can impact your corporate repos in a number of highly dangerous ways. The trend is on the rise, including at the level of popular DevOps platforms.

Confluence is often used to store important knowledge inside an organization: runbooks, technical documentation, project plans, onboarding materials and incident notes along with internal procedures. When this data is deleted, overwritten, corrupted or simply unavailable, teams can lose the information needed to keep work processes moving forward.

The terminal output was still scrolling when Jer Crane, the founder of PocketOS, realized what had happened. Nine seconds. That is how long it took a coding AI agent to delete his production database, his backups, and three months of operational records. PocketOS was using Cursor for what should have been a routine task in a test environment.

Building a resilient CI/CD pipeline means protecting every piece of data that makes your code run. Your environment variables, secret tokens, and configuration files demand the exact same security as your core repositories. Traditional backup protocols leave these assets completely vulnerable to silent manipulation. If ransomware subtly modifies your archived backup, executing a restore will deploy the corrupted files straight into production.