Cortega Verifier checks what the model actually says against your own documents and data — not just whether the question was allowed. A made-up or wrong answer gets flagged before it reaches a customer, employee, or regulator.
You register the sources Verifier should treat as ground truth: your documentation, knowledge base, and policy library. Verifier checks model statements against those sources and flags the ones that aren't backed up. It works automatically, in the background, as part of the tools you already use, no separate portal, no uploading a document just to get an answer checked.
Point Verifier at the documents and data sources that represent ground truth for your business. Sources stay current automatically as the underlying documents change, so nothing needs to be manually resynced.
Model exchanges are checked against your registered facts, not evaluated in isolation on plausibility alone. Even an answer that's technically accurate gets flagged if it doesn't actually address what was asked.
An answer can come from someone who was fully authorized to ask, and still be wrong. Verifier is built to catch that case specifically.
Verification status is kept per statement, so a compliance or quality review doesn't start from a blank page.
Cortega Verifier runs entirely inside your own environment. Cortega EdgeSafe extends that same protection to each user's laptop and browser, with zero external uploads.
Personal and confidential data is detected and scrubbed in real time, before it ever reaches an external AI provider.
Approve which AI models and providers are allowed, and block unauthorized or unmonitored tools across your organization by default.
Tell us what your AI is answering questions about and what you'd want it checked against, and we'll show you how Verifier fits. Custom sandbox testing is available on your own typical workflows.