AI Hallucination Checker

Looking for a hallucination checker?
The best one runs inside your AI, not next to it.

Most hallucination checkers mean pasting an answer into a separate tool after the fact. Cortega Verifier checks every AI-generated statement against your own documents and data automatically, in the background, as part of the tools you already use.

Why standalone checkers fall short

A separate tool only catches what someone remembers to paste into it.

A standalone hallucination checker depends on a person copying an answer out of one tool and into another, every single time. In practice that step gets skipped under deadline pressure, which is exactly when a fabricated or ungrounded answer is most likely to slip through. Cortega Verifier removes that step: it checks the answer where it's generated, not after someone remembers to ask.

A standalone checker

  • Requires copying the answer into a separate website or tool.
  • Only catches what someone remembers to check.
  • Client or confidential data often has to leave your environment to get checked.
  • No standing record unless someone saves the result themselves.

Cortega Verifier

  • Checks every AI-generated statement automatically, in the background.
  • No separate portal, no uploading a document just to get an answer checked.
  • Runs entirely inside your own environment. Nothing gets uploaded to an outside website.
  • Verification status is kept per statement, so a review doesn't start from a blank page.
How it works

Answers get checked against facts you trust, not just policy.

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.

You define ground truth

Point Verifier at the documents and data sources that represent ground truth for your business. Sources stay current automatically as the underlying documents change.

Accurate isn't enough on its own

An answer can be technically correct and still not address what was actually asked. Verifier is built to catch that case too, not just outright fabrication.

Groundedness, not just permission

An answer can come from someone who was fully authorized to ask, and still be wrong. Verifier is built to catch that case specifically.

A record you can review

Verification status is kept per statement, so a compliance or quality review doesn't start from a blank page.

Why this matters

Hallucinations are already showing up where they get noticed.

A public database tracking AI hallucinations in court filings has logged nearly 2,000 cases so far, almost all of them a fabricated or misstated citation that made it past review. Legal filings are simply where a hallucination is most likely to become a matter of public record, the same failure mode shows up anywhere an AI system answers a question confidently and is wrong: customer support, internal knowledge assistants, and regulatory Q&A included.

Backed by the platform

Verification that stays inside your boundary.

Runs on your infrastructure

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.

Automated sensitive-data detection

Personal and confidential data is detected and scrubbed in real time, before it ever reaches an external AI provider.

Model and provider access control

Approve which AI models and providers are allowed, and block unauthorized or unmonitored tools across your organization by default.

Worried about a confident-but-wrong AI answer?

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, no separate tool, no workflow disruption.

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