GitLab

SAST/DAST scanners automatically detect vulnerabilities during the CI/CD pipeline.

AI agents prioritize vulnerabilities based on severity and impact.

Agents generate merge requests with suggested fixes and code patches.

Developers review and approve the merge requests.

The fixed code is automatically deployed to production.

AI analyzes code changes and identifies the most relevant tests.

Only the selected tests are executed in the CI/CD pipeline.

Developers receive feedback on test results within minutes.

The optimized test suite reduces overall pipeline execution time.

AI models analyze historical pipeline data and code changes.

The models predict potential pipeline failures based on identified patterns.

Alerts are sent to developers with recommendations for preventing failures.

Developers take corrective actions to address the potential issues.

The pipeline runs successfully without failures.

AI agents automatically collect audit-ready evidence during the CI/CD pipeline.

The evidence is organized and stored in a centralized repository.

Compliance reports are generated automatically based on the collected evidence.

Auditors can easily access and review the evidence.

Compliance audits are completed faster and more efficiently.

Developers provide high-level specifications or requirements.

AI agents generate code snippets and templates based on the specifications.

Developers review and customize the generated code.

The code is integrated into the application.

Development time is reduced significantly.