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ai security
GitLab 19.3 helps enterprises scale agentic development securely
GitLab released version 19.3, which allows GitLab Dedicated customers to run AI agents within their single-tenant environment while maintaining data security and compliance boundaries. The update enables users to connect their own AI models for inference and adds support for Secrets Manager, Flow Creator Agent, and Bulk SAST (Static Application Security Testing).
Why it matters: Enterprises using GitLab Dedicated for sensitive workloads can now adopt AI-assisted development without sending data to third-party inference endpoints, reducing compliance and data residency risk.
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- First seen by Cybersecurity Tracker
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Correction
Correction recorded as of .
ai security
GitLab 19.3 helps enterprises scale agentic development securely
No summary had been written when this copy was frozen.
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
GitLab 19.3 helps enterprises scale agentic development securely
GitLab released version 19.3, adding features that let enterprises run the GitLab Duo Agent Platform inside their existing single-tenant Dedicated environment. The update allows customers to connect their own artificial intelligence (AI) models for inference and to keep AI‑processed data within their established security boundary. It also includes support for Secrets Manager, Flow Creator Agent, and bulk static application security testing (SAST) capabilities.
Why it matters: GitLab Dedicated customers who are scaling agentic development should review the new Duo Agent Platform and Secrets Manager features to maintain AI workloads inside their current security boundary.
- Source published
- First seen by Cybersecurity Tracker
Source attribution
Correction
Correction recorded as of .
ai security
GitLab 19.3 helps enterprises scale agentic development securely
GitLab released version 19.3, adding features that let enterprises run the GitLab Duo Agent Platform inside their existing single-tenant Dedicated environment. The update allows customers to connect their own artificial intelligence (AI) models for inference and to keep AI‑processed data within their established security boundary. It also includes support for Secrets Manager, Flow Creator Agent, and bulk static application security testing (SAST) capabilities.
Why it matters: GitLab Dedicated customers who are scaling agentic development should review the new Duo Agent Platform and Secrets Manager features to maintain AI workloads inside their current security boundary.
- Source published
- First seen by Cybersecurity Tracker