A compliance layer that sits between your app and its AI model.
Every AI response passes through ZeroDrift before reaching your users. Policies evaluate in real time. Violations are rewritten. Your users never see the original output.
One intercept layer. Zero changes to your model calls.
ZeroDrift operates as a transparent proxy. Your application sends requests and receives responses in the same format it always has. ZeroDrift evaluates and rewrites in the middle.
Write policies in plain language. Version and test them without downtime.
Policies define what constitutes a violation and what action to take. Each rule specifies a condition, a severity, and either a block or rewrite action. Multiple policies can be active simultaneously and evaluated in priority order.
- Plain-language rule authoring with a structured YAML format, no regex required for common cases
- Policy versioning with named environments (staging, production) and instant rollback to any prior version
- Shadow mode lets you run a new policy set against live traffic without affecting output until you promote it
- Audience-aware rules activate stricter policies based on user attributes passed in the request context
version: "2.1"
environment: production
rules:
# Block direct financial advice
- id: fin-advice-block
priority: 1
condition: contains_financial_advice
action: rewrite
rewrite_template: safe_advice_disclaimer
severity: high
# Block PII in response
- id: pii-redact
priority: 2
condition: response_contains_pii
action: block
fallback: "generic_error_message"
severity: critical
# Stricter rules for minors audience
- id: audience-minor
priority: 3
audience: minor
condition: contains_adult_content
action: block
severity: critical
import openai
# Before: direct model call
# client = openai.OpenAI()
# After: route through ZeroDrift
client = openai.OpenAI(
base_url="https://api.zerdorift.com/v1",
api_key="your-zerodrift-api-key",
default_headers={
"X-ZDR-Policy-Env": "production",
"X-ZDR-Audience": user.audience_type,
}
)
# Same call syntax, no other changes
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_input},
]
)
# ZeroDrift intercept metadata in headers
zdr_action = response.headers.get("X-ZDR-Action")
# "pass" | "rewrite" | "block"
One URL change. Compatible with any language or framework.
ZeroDrift uses the same OpenAI-compatible request and response schema as the upstream model. If you already call the model, you can route through ZeroDrift by changing one base URL and adding your API key. No SDK changes. No new abstractions.
The same pattern works with LangChain, LlamaIndex, any direct HTTP client, or your own internal gateway. ZeroDrift passes requests through unchanged and only modifies responses when a policy triggers.
Intercept metadata arrives as response headers so your application can log, route, or alert based on what ZeroDrift did, without parsing the body.
Compliance that does not slow your product down.
The latency concern is the reason most teams delay compliance infrastructure. These numbers are measured at the proxy layer across 15 production deployments, not in a benchmark environment.
Based on 90-day early-access pilot across 15 enterprise deployments. Latency measured at ZeroDrift proxy layer, excluding upstream model response time.