Atlassian will begin collecting customer data from its cloud products starting August 17, 2026, to train AI models, with only Enterprise customers able to opt out.
This article describes WATCH (Weekly Attack Testing for Continuous Health), GitLab's automated detection testing framework that validates security detections work end-to-end.
GitLab for Education enables instructors to manage software development courses at scale using professional-grade workflows mirroring real-world development practices.
GitLab releases patch versions 18.11.2 and 18.10.5 addressing observability gaps and various regressions.
This article describes how to build CI/CD observability at enterprise scale using GitLab metrics, Prometheus, and Grafana.
GitLab and Anthropic deepen their integration, with Claude powering GitLab's Duo Agent Platform to deliver governed AI for enterprise development.
Learn how to give AI agents direct, structured access to GitLab using glab CLI and Model Context Protocol (MCP).
GitLab Omnibus FIPS packages will discontinue bundled curl in version 19.0, switching to the distribution-provided curl instead.
Nearly 7,000 developers built 600+ AI agents in the GitLab AI Hackathon 2026, solving development workflow gaps.
GitLab released patch versions 18.11.1, 18.10.4, and 18.9.6 on April 22, 2026 with critical security fixes.
GitLab Duo Agent Platform and Amazon Bedrock integrate agentic AI with enterprise governance.
Anthropic's Mythos model has discovered thousands of zero-day vulnerabilities that can be exploited within hours, while security teams struggle to remediate them over months, and comparable AI tools are expected in attacker hands within six to twelve months.
