AI Agents & Copilots
The compliance firewall for AI agents and copilots.
ZeroDrift validates, rewrites, and blocks AI agent outputs before they reach customers, employees, systems, or regulators.
// COMMAND
Runtime Enforcement for AI Agents
Source: OpenAI
Surface: Customer Chat
Status: Enforced before delivery
Agent Output
“Your account is eligible for the premium plan. I can confirm the new terms are better and there is no downside to switching today.“
}
Anchor Scan
Verdict:
REWRITE
Rule Cited:
Firm AI Policy 4.2
Policy Match:
Unapproved External Recommendation
Risk:
Medium
Final Action
Approved response pattern delivered
Safe Agent Output
// Rewritten
Your account may be eligible for the premium plan. The right option depends on your needs, terms, and preferences. I can help compare the plan details or connect you with a specialist for review.
}
Why It Matters
Agents can move faster than your governance process.
AI agents and copilots now draft, summarize, recommend, respond, and generate content across enterprise workflows. ZeroDrift gives teams a control layer before those outputs reach the business or the customer.
Zerodrift Developer Platform
//A
Agent Risk
→
Unapproved recommendations
→
Missing disclosures
→
Restricted data exposure
→
Policy-breaking output
→
Unsafe external responses
→
Untracked model behavior
Zerodrift Developer Platform
//B
Enterprise Impact
→
Customer communication risk
→
Compliance review gaps
→
Security and privacy risk
→
Governance failures
→
Brand and legal risk
→
Limited auditability
Why ZeroDrift Sits
One enforcement layer between AI output and delivery.
Route AI-generated outputs through ZeroDrift before they reach customers, employees, or enterprise systems.
AI Agents & Copilots
//A
AI Systems
→
Agents
→
Copilots
→
Chatbots
→
Internal assistants
→
Workflow automation
AI Agents & Copilots
//B
ZeroDrift
→
Gateway routes output
→
Anchor evaluates risk
→
Policy applies controls
→
Rewrite or block
→
Workflow Command logs evidence
AI Agents & Copilots
//C
Surfaces
→
Customer chat
→
→
CRM
→
Documents
→
Internal tools
Why ZeroDrift Enforces
Controls for high-volume AI output.
ZeroDrift applies policy enforcement to the outputs your agents, copilots, and applications generate.
//A
Policy Violations
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.
Use Gateway to route LLM outputs through ZeroDrift before they reach production surfaces.
// Before
curl https://api.openai.com/v1/chat/completions
// After
curl https://gateway.zerodrift.ai/v1/chat/completions
For carriers, MGAs, brokers, agencies, insurtech platforms, and AI vendors serving regulated insurance customers.
•Agent Workflow Examples
Designed for the AI workflows enterprises are putting into production.
//A
Customer Service Agents
Validate answers before they reach customers.
//B
Advisor and Sales Copilots
Rewrite risky communication before it leaves the firm.
//C
Marketing Generation
Enforce approved language across AI-generated content.
//D
Internal Knowledge Agents
Control sensitive outputs, internal summaries, and employee-facing responses.
//E
Client Portal Chatbots
Govern high-volume responses across authenticated client experiences.
//F
Workflow Automation
Validate generated messages before downstream delivery.
Products Used
The ZeroDrift platform for AI agents and copilots.
Anchor
The compliance model
behind every decision.
Policy
Firm policies, security controls, approved language, and restricted data rules.
Gateway
The LLM enforcement layer for AI agents, APIs, and developer workflows.
Guard
In-flow enforcement for business users where AI drafts content inside existing tools.
Command
Oversight, audit logs, evidence, and controls for teams governing AI.
Built for Every Team That Own AI
AI governance only works when every team has the same control layer.
//A
AI Leadership
Visibility and control across agents, copilots, chatbots, and LLM outputs.
//B
Engineering
A simple enforcement layer for APIs, models, providers, and production workflows.
//C
Compliance
Policy enforcement, explainable verdicts, and evidence for review.
//D
Security
Restricted data controls and high-risk AI output blocking before delivery.
Put a compliance firewall in front of every agent and copilot.
See how ZeroDrift validates, rewrites, and blocks AI-generated outputs before they reach customers, employees, or enterprise systems.