The solution is building your own tracking system using no-code automation tools. This approach requires more initial setup but provides ongoing monitoring at a fraction of commercial tool costs. The system I built uses Make.com, a no-code automation platform, to query AI models systematically, analyze responses, and track mentions over time. Make offers 1,000 operations monthly on their free tier, making it possible to start tracking without any monetary investment.
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Defense in depth on top of gVisorgVisor gives you the user-space kernel boundary. What it does not give you automatically is multi-job isolation within a single gVisor sandbox. If you are running multiple untrusted executions inside one runsc container, you still need to layer additional controls. Here is one pattern for doing that: