What This Stack Does
As AI agents gain system access and generate increasing amounts of code, security must cover multiple layers: the application itself, its dependencies, the agent runtime, and incident response. This stack addresses all four. Shannon autonomously pentests your web application, finding vulnerabilities that traditional scanners miss — including zero-days. OSV-Scanner checks every dependency against Google's comprehensive vulnerability database. NVIDIA OpenShell sandboxes AI agent operations at the kernel level. Tracecat automates the response when something does go wrong.
The Bottom Line
The recommended workflow integrates these tools into your development lifecycle. OSV-Scanner runs in CI/CD on every pull request, catching vulnerable dependencies before they reach production. Shannon runs periodic scans against staging environments before major releases — its fifty dollar per-scan cost makes it practical for weekly or pre-release assessments rather than every commit. NVIDIA OpenShell wraps your production agent runtime, ensuring that even if an agent is compromised through prompt injection, the blast radius is contained. When incidents occur, Tracecat's AI-powered playbooks automate triage, enrichment, and initial response actions, reducing mean time to resolution. Together this stack covers the full security lifecycle from proactive scanning through runtime protection to automated response.