Announcing MCP Toolbox Java SDK v1.0: Agentic data access for the enterprise
cloud.google.com·6d ago
Cloud & Infrastructure
The New Stack·Aug 13·5 min read
Rubrik’s lessons from one month with Mythos Preview
TL;DR
Rubrik discovered that Mythos Preview could identify complex vulnerability chains that their existing tools missed, overwhelming their engineering capacity. They quickly realized that human remediation couldn't keep pace with AI-driven discovery.
✦ Why It Matters
Evaluate your team's capacity to handle AI-generated insights and adjust your remediation strategy accordingly.
Key Takeaways
- Assess your team's capacity to handle AI-generated findings.
- Implement targeted scanning to filter out noise from vulnerability reports.
- Focus on building automation for reliable vulnerability classes.
- Integrate business and security context into your vulnerability management workflows.
How It Works
Rubrik uses Mythos to perform whole-repository scans, leveraging initial findings to inform more targeted scans. This process helps filter out irrelevant results, ensuring only high-quality vulnerabilities are sent to engineering teams for remediation.