AI coding guardrails are rules and boundaries that constrain what an AI coding agent can do, like which files it can touch or what conventions it must follow, enforced before the agent acts, not caught afterward in review.
AI agents will confidently edit anything they have access to. Without explicit boundaries, an agent touching a critical file it had no business changing is a common and avoidable failure mode.
A convention file like a CLAUDE.md or .cursorrules communicates expectations to the agent but doesn't enforce them. The agent can still ignore or misread them. A tool like Mati goes a step further: it actually blocks an agent from editing a protected file until it's read the rules that govern it.
Guardrails and audits solve different problems. Guardrails are prevention, applied before code is written. An audit is detection, applied after. Most teams eventually want both, not one instead of the other.
No. PRISM is the audit framework used to score a codebase. Mati is a separate, open-source tool that enforces guardrails at the moment an AI agent tries to edit a file: prevention rather than review.
They solve different problems. Audits catch what already happened; guardrails prevent some of it from happening again. Most teams eventually want both.
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