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.
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.
No. You have full control. Trustabl auto-applies safe fixes (like adding missing timeouts or standardizing retry logic) and surfaces higher-risk changes for your explicit review and approval. You decide what gets committed.
Yes. Trustabl is essentially a specialized linter for AI agents. While traditional linters (like ESLint or Ruff) focus on code style, syntax, and general bugs, Trustabl analyzes your AI agents, tools, prompts, and SDK configurations for reliability, safety, and production readiness — flagging patterns that expose you to prompt injection, missing timeouts, tool misconfigurations, and guardrail gaps that standard linters miss. Think of it as "ESLint for AI agents" — it runs in CI/CD, gives clear explanations and fix suggestions, and helps you ship safer, more robust agentic systems.
