AI Response Compliance

Catch the responses that break policy before your users see them.

ZeroDrift sits between your app and its model, checking every response against your active policies and rewriting the ones that cross a line, in under 30 milliseconds, so your team ships AI assistants without reviewing each output by hand.

AI response: unfiltered
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ZeroDrift output: policy compliant
Based on your account balance, I can provide general information on this asset class. For advice on your specific situation, consult a licensed financial advisor before proceeding. Investment returns are not guaranteed.

Trusted by AI teams at regulated companies

Talvex Financial Cobalt Health Systems Meridian SRE Ostara Commerce Ironfield Legal Solvant Analytics
The Problem

AI responses break policy in ways you cannot predict at design time.

01

Manual review does not scale

Reviewing AI outputs by hand works for a prototype with ten daily users. At production volume, a single human reviewer cannot check thousands of responses per hour without error rates that defeat the purpose.

02

Prompt constraints drift under load

System prompt rules hold in testing. Under real user inputs, edge cases accumulate faster than prompt iteration can close them. You discover the gap when a user screenshots the violation, not before.

03

Compliance cannot tolerate exceptions

In fintech, health, and legal verticals, one non-compliant response reaching a customer triggers regulatory review. The consequence is not a bad review. It is a formal incident with documentation requirements.

How It Works

Three steps from integration to active compliance.

Route through ZeroDrift

Point your existing model API calls at the ZeroDrift endpoint. One URL change, no SDK required. Requests pass through transparently at the same latency as a direct call.

Define your policies

Write policies in plain language using the policy editor. Specify what responses are prohibited, what replacements to apply, and which audiences trigger stricter rules. Version control included.

Ship with a full audit trail

Every intercept is logged with the original response, the policy triggered, the rewrite applied, and the timestamp. Your compliance team gets a searchable record without manual annotation.

Capabilities

Built for production AI deployments in regulated industries.

28ms

Sub-30ms intercept latency

Policy evaluation and rewrite happen in a single async pass. Median p99 latency across deployments is 28 milliseconds, measured at the proxy layer, not the model.

94%

Policy violation catch rate

Across 15 early-access deployments over a 90-day pilot period, 94% of responses that violated active policies were intercepted before reaching an end user.

∞

Unlimited policy versions

Maintain parallel policy sets for different products, audiences, or regulatory environments. Switch between versions without downtime. Roll back to any prior state with one API call.

REST

Drop-in API compatibility

ZeroDrift uses the same request and response schema as the upstream model. No SDK required. Any language, any framework. If you already call the model, you can route through ZeroDrift today.

Early Evidence

Results from a 90-day early-access pilot across 15 enterprise deployments.

94% Policy violations caught before reaching end users Based on 15 early-access deployments, 90-day pilot. Measured as intercepted violations divided by total policy-triggering responses logged.
28ms Median p99 intercept latency Measured at the ZeroDrift proxy layer across the same 15-deployment pilot. Excludes upstream model response time.
We were running manual spot checks on 3% of AI outputs before ZeroDrift. That gave us plausible deniability, not actual compliance. Now the intercept log is the audit trail. Our legal team accepted it without additional documentation.

Infrastructure Lead, enterprise fintech AI team, early-access program

The latency concern was the reason we delayed deployment for four months. We assumed any proxy layer would add perceptible delay. At 28ms p99 we cannot measure the difference in our application. That unlocked the project.

Platform Engineer, growing insurtech, beta participant

Pricing

Start free. Scale when you need to.

No per-seat fees. No vendor lock-in. Priced by request volume so cost tracks with usage.

Starter
$0
10,000 requests per month
  • 3 active policies
  • Basic request logging
  • REST API + SDK
  • Community support
Start Free
Most popular Growth
$299/mo
500,000 requests per month
  • Unlimited active policies
  • Full audit trail
  • Webhooks + custom rewrite templates
  • Policy version history
  • Email support, 1-day SLA
  • 99.5% uptime SLA
Start 14-Day Trial
Enterprise
Custom
Unlimited request volume
  • SSO/SAML
  • Dedicated SLA + on-call escalation
  • Compliance consulting
  • Security review documentation
  • Dedicated Slack channel
Contact Sales

Annual billing available at $249/mo for the Growth tier. View full pricing details.

Get Started Today

Ship your AI assistant without the compliance risk.