Smarter models can describe tools better, but they cannot reliably harden them for production. Trustabl adds critical production-grade elements models cannot consistently provide: structured validation rules, circuit breakers, policy enforcement, cryptographic attestations, least-privilege OpenShell policies, and SLSA supply-chain provenance.
They focus on securing the agent runtime and detecting threats. Trustabl focuses on hardening the tools agents use so they are production-safe, policy-compliant, and resilient by design. We prevent problems at the source rather than only detecting them at runtime.
After scanning, Trustabl generates fix suggestions for every finding. Safe, low-risk fixes will be applied automatically. Higher-risk changes will be surfaced for your review before anything is committed. Remediation will be available as a VS Code/Cursor extension and as a Skill.md for other agent environments. Coming soon.
No. Trustabl works on top of your existing tools. It analyzes your code, documentation, and behavior, then generates enriched metadata and optional policy files without modifying your source code.
