For Teams Shipping to Regulated Customers
Ship AI products with enforcement built in.
// COMMAND
Runtime Enforcement for AI Agents
Source: Your AI Assistant
Model Provider: OpenAI
Surface: In-App Chat
Status: Enforced before delivery
Agent Output
“You can cancel anytime and we'll refund everything, no questions asked.“
}
Anchor Scan
Verdict:
REWRITE
Rule Cited:
Customer terms policy
Policy Match:
Unauthorized commitment
Risk:
Medium
Final Action
Approved response pattern delivered
Safe Agent Output
// Rewritten
"You can cancel anytime. Refunds follow the terms of your plan. I can walk you through what applies to your account.”
}
Why It Matters
The hardest procurement question, answered.
AI Platforms & Vendors
//A
What Your Buyer Asks
→
How does your AI stay compliant?
→
Security review and vendor questionnaires
→
CISO signoff before go-live
→
Who is liable when your AI is wrong?
→
Evidence for their examiner
AI Platforms & Vendors
//B
What You Answer
→
Enforcement inside the product
→
Every output checked before it's delivered
→
Their rules, enforced per tenant
→
A logged verdict for every message
→
Evidence they can hand their examiner
Why ZeroDrift Sits
One enforcement layer inside your product
AI Platforms & Vendors
//A
Your Product
→
Chat features
→
Copilots
→
Agents
→
Generated content
→
Automations
AI Platforms & Vendors
//B
ZeroDrift
→
Checks every output
→
Pass, rewrite, block, escalate
→
Rule cited on every verdict
→
Per-tenant rulepacks
→
Every decision logged
AI Platforms & Vendors
//C
Your Customers
→
Regulated enterprises
→
Their end clients
→
Their examiners
→
Their security reviews
Why ZeroDrift Enforces
Controls for high-volume AI output.
ZeroDrift applies policy enforcement to the outputs your agents, copilots, and applications generate.
//A
Per-Tenant Rulepacks
Detect outputs that conflict with firm policies or approved response patterns.
//B
Regulated Language
Rewrite risky claims, recommendations, disclosures, and external statements.
//C
Restricted Data
Block outputs that expose confidential, restricted, or sensitive information.
//D
Approved Tone
Align generated content to your firm’s approved language and communication standards.
//E
Escalation Rules
Escalate high-risk outputs for review before delivery.
//F
Evidence
Log verdicts, rule matches, rewrites, blocks, and enforcement outcomes.
Developer Implementation
Add enforcement without rebuilding your AI stack.
curl -X POST https://api.zerodrift.ai/api/v3/content/validate \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "body": "The fund has beaten the market every quarter.", "rulepack": "financial_services_client_communications" }'
# verdict: pass, rewrite, block, or escalate
{
"verdict": "rewrite",
"risk_level": "high",
"violations": [
{
"rule_cited": "FINRA Rule 2210",
"policy_match": "Promissory Performance Language",
"explanation": "The message implies guaranteed safety and performance.",
}
],
"suggested_fix": "The fund may be appropriate for certain investors depending on objectives, risk tolerance, and time horizon. Past performance does not guarantee future results.",
"evidence_id": "evd_9x2f81",
}
// Before
curl https://api.openai.com/v1/chat/completions
// Add one call before you ship the output
curl https://api.zerodrift.ai/api/v3/content/validate
-H "https://api.zerodrift.ai/api/v3/content/validate"
-d { "body": "...", "rulepack": "..." }'
FOR EVERY TEAM SHIPPING AI AGENTS, COPILOTS, AND CHATBOTS IN REGULATED ENVIRONMENTS.
•Why ZeroDrift Enforces
Built for the AI products regulated buyers are evaluating.
//A
Embedded Enforcement
One integration makes every AI feature enforceable/
//B
Compliance as a Selling Point
Answer the hardest procurement question before it's asked.
//C
Pre-Tenant Rule packs
Each customer's rules enforced on their traffic.
//D
OEM and Resell
Embed ZeroDrift under your brand, with published API pricing to build against.
//E
Customer-facing AI
Every answer enforced before it reaches their clients.
//F
Faster Procurement
Evidence and documentation that shortens security review.