Case Study: andsafe achieves faster identification and prioritization of security risks with Datadog

andsafe turns to Datadog to identify key areas of security risk

andsafe, a fast-growing German insurtech of about 70 employees, needed to scale its distributed platform and speed product releases while keeping systems secure. As complexity increased, teams lost visibility into service interactions and struggled to identify and prioritize vulnerabilities, relying on manual CI output from tools like OWASP’s Java dependency check that made remediation slow and error-prone.

By adopting Datadog Software Composition Analysis alongside its observability stack, andsafe gained continuous scanning for vulnerable open-source and transitive dependencies, prioritized high-impact issues, and received recommended fixes. The integrated solution improved visibility, reduced MTTD/MTTR, increased engineering efficiency and deployment confidence, and even helped remediate a high-risk vendor-side dependency issue.

andsafe

Marcel Drechsler

Product Owner Developer Platform