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GuardAI
For Business Leaders

Set boundaries for your AI applications

Decide what your assistant can promise, what it can share, and when it should refer a user to your team. Evaluate those rules before a wider rollout.

What can go wrong.

Define what AI can tell customers, share with others, and change without approval.

United Airlines

Incorrect customer terms

United’s chatbot gave a customer the wrong expiry period for a $200 travel credit. United acknowledged the error and issued a replacement certificate.

NBC Chicago, September 2026

Ramp Sheets AI

Financial data disclosure

Researchers showed that hidden instructions in an imported spreadsheet made Ramp’s AI send confidential financial data to an external server. Ramp fixed the issue in March 2026.

Research disclosure, April 2026

PocketOS

Unauthorized destructive actions

An AI agent used a stored API token to delete a production database on Railway while working on another task. Railway subsequently recovered all the data.

Railway’s account, April 2026

What to include in your evaluation

  • Incident responseEstimate the staff time required to investigate and correct a policy failure.
  • Customer impactConsider the consequences of incorrect promises, advice, or disclosures.
  • Operating costsCompare integration, monitoring, and review costs with your existing controls.

The difference a policy layer makes.

Without a policy layer

  • Company rules depend on the model following its instructions
  • Draft answers go directly to the application
  • Changes to business rules require updating model instructions
  • Human-referral instructions rely on the generated answer
  • The application must supply its own policy-review records

With GuardAI

  • Company policies are defined outside the base model
  • Draft answers are checked before delivery
  • Policies change without retraining the model
  • Responses follow configured human-referral rules
  • Decision metadata supports policy reviews

Published benchmark results.

On WildGuardTest, GuardAI reduced unsafe allow rate by 60% versus Gemini's safety filters (MEDIUM) on the same base model (15.8% vs 39.9%). Results, methodology, and benchmark data are published in our technical whitepaper.

Read the whitepaper

Let's talk about your AI strategy.

Bring your business rules and representative requests. We'll show how GuardAI fits your application and plan a policy evaluation with your team.