Input and output validation for any LLM / 2025
GuardianAI↗
Put guardrails around what goes in — and out.
GuardianAI
Guardrails.
Output.
✓
Input.Guardrails.
Output.
A safer path
from prompt to response.WORKFLOW ILLUSTRATION
from prompt to response.WORKFLOW ILLUSTRATION
01 / THE CHALLENGE
Applications using language models need to handle more than a plausible answer. Prompts and responses also need to meet safety, privacy, and structural requirements.
02 / THE PRODUCT PRINCIPLE
Make validation part of the workflow.
GuardianAI brings input and output checks into a configurable, drag-and-drop workflow, with REST API and SDK access for applications.
03 / WHAT IT DOES
- 01
60+ validators covering PII masking, toxicity, prompt injection, and schema checks.
- 02
A drag-and-drop workflow builder for composing validations.
- 03
REST API, SDKs, dashboards, and audit logs.
01
Inspect the input
02
Apply the validators
03
Validate the output
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