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.
Trustabl is built for AI engineers, platform teams, and security/compliance teams who are building or running agentic systems in production and want tools that are reliable, observable, and policy-compliant.
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.
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.