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.
Trustabl scans AI agents, tools, and skills for production-readiness issues — flagging reliability, safety, and configuration gaps with clear fix suggestions. Free remediation via VS Code, Cursor, and Skill.md is coming soon. Think of it as a specialized linter for agentic systems.
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.
Most tools are fully hardened in under 60 seconds. You connect your GitHub repo, and Trustabl scans, enriches, and generates most of the metadata automatically.
