Guardrails are predefined rules, checks, or constraints that keep systems operating safely and predictably. In AI, they prevent models from producing harmful, biased, or off-topic outputs. In software testing, they ensure that code behaves within expected boundaries and doesn’t regress or break under edge cases. Think bumpers that you pop up on the side of the lanes in ten pin bowling, they don’t play the game for you, but they try to prevent things from going wrong as best they can.
Why it matters:
In testing Guardrails help build trustworthy, robust, and production-ready systems, whether you're deploying a model or shipping code.
Why it matters:
In testing Guardrails help build trustworthy, robust, and production-ready systems, whether you're deploying a model or shipping code.
- Guardrails validate inputs and outputs
- Catch regressions early
- Ensure compliance with specs and standards
