
The Enforcement Runtime for AI.
Every regulation, pre-loaded. Your policies, trained on top. Enforced on everything AI says. Before it's sent.

Backed by leading AI venture capital companies.
Built by a team from Google DeepMind, Microsoft, Goldman Sachs, and GitHub.

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One runtime.
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Every AI surface.
Inputs
AI
Agents
AI
Chat
AI
Systems
AI
AI
Docs
AI
Marketing
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ZeroDrift is an enforcement runtime: it checks every AI message against the rules that apply to your company and fixes or blocks the ones that break them.
Outputs
Customers
Employees
Counterparties
AI Agents
Systems
Public
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Anchor
The compliance enforcement model.
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Policy
Where your company's rules live.
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Guard
Enforcement for AI agents.
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Command
Live oversight of every verdict.
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Anchor
The compliance enforcement model.
A purpose-built SLM checks every AI-generated message against regulations, company policies, and restricted data, then decides: pass, rewrite, block, or escalate.
AI agent
Composed {
// BLOCKED
“The Apex Growth Fund is a safe way to beat the market”
}
ZeroDrift
Sent {
// Rewritten
“The Apex Growth Fund may suit certain investors depending on their goals and risk tolerance.”
}
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Policy
Where your company’s rules live.
Write your own internal policies once. ZeroDrift enforces them on every message, alongside regulations, automatically.
ZeroDrift
A policy your firm writes
Policy:
Do not recommend the Apex Growth Fund to retail clients
Type:
Restricted product policy
Applies to:
All advisors and AI agents
When matched:
Blocked
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Guard
Enforcement for AI agents.
Put ZeroDrift in front of any AI agent or LLM. Send every output to the enforcement API and act on the verdict. Clean responses go through. Violations are rewritten, blocked, or escalated before they're sent.
curl -X POST https://api.zerodrift.com/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
ZeroDrift
{
"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",
}
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Command
Live oversight of every verdict.
Every verdict, policy, and surface across your company. What passed, what got fixed, and what was blocked, plus the evidence trail your examiner will ask for. All in one place.
AI Messages Checked
347,892
Passed clean
327,015
Rewritten
17,394
Blocked
3,483
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Every message, every employee, every agent. This week.
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Introducing Anchor.
Introducing Anchor. The compliance enforcement model. A small language model built for one job: enforcing your regulations, policies, and security controls on everything AI says. In real time.
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Deterministic where it matters. Intelligent where it needs context.
A rules engine and the Anchor SLM check every message in parallel. One verdict.
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Every verdict is explainable.
Each decision cites the exact rule behind it.
Anchor Model Specifications
Architecture
Model:
Anchor 3.0-Preview
Design:
An enforcement SLM and a deterministic rules engine. One verdict.
Decisions:
Pass • Rewrite • Block • Escalate
Coverage and Trust
Coverage:
Global financial services, insurance, healthcare, and custom company policies
Revalidation & Explainability:
Every rewrite re-checked before it's sent. Every decision cites its rule.
Modality:
Text
Deployment:
Cloud or in-VPC. SOC 2 certified. No customer data retained.
Specs
Speed:
Built for the send path. Checks happen in real time, without slowing conversations down.
Accuracy:
Trained for one job. Anchor catches violations that general-purpose models miss, and every rewrite is checked again.
Cost:
A small model, not a big one. Policies are built in, so every check uses a fraction of the compute of a general-purpose model.
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Every rewrite is enforced.
Violations are rewritten, blocked, or escalated. Rewrites are checked again before it's sent.
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Tuned to your company.
Your policies, restricted lists, approval flows, and voice.
Built for the companies regulators watch most closely.
Deep coverage for the regulatory regimes that govern customer communication, marketing, disclosures, and AI-generated outputs.
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Financial Services
Enforces SEC, FINRA, FCA, MiFID II, and 30+ regimes on every AI-generated message.
For broker-dealers, RIAs, asset managers, hedge funds, banks, and wealth platforms.
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Insurance
Enforces NAIC, state DOI, and market conduct rules on AI-generated communication.
For AI agents and copilots across policyholder service, underwriting, and claims.
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Healthcare
Enforces HIPAA, CMS, FDA, and healthcare privacy requirements on every AI-generated communication.
For providers, payers, digital health platforms, and healthcare AI systems.
Add enforcement to your stack in minutes.
One API. Send any AI output, get a verdict your application can act on. Works with the AI setup you already have. Nothing to rebuild.
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",
}
In the Press

"Compliance is about to become the rate-limiting factor for AI in the enterprise, and the companies that solve it will define the next generation of regulated infrastructure."
Jonathan Lai, General Partner,
Andreessen Horowitz
In the Press

"It's not difficult to see the appeal of such a tool. Financial services firms currently spend a fortune on regulatory compliance."
David Prosser, Contributor,
Forbes
In the Press

"In the age of artificial intelligence, fewer communications are going through human hands, and the volume generated by AI agents makes manual reviews impractical."
Paul Gillin, Author,
SiliconAngle
Built for regulated enterprises.
Security, privacy, and deployment controls for the world’s most regulated organizations.
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SOC 2 Type II
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ISO 27001
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GDPR
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HIPAA
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SSO
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VPC Deployment
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Per-tenant isolation with customer-managed encryption keys.
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Deployable in your VPC for the most security-conscious companies.
Ready to deploy AI with enforcement built in?
See how ZeroDrift passes, rewrites, blocks, and escalates AI communications across agents, applications, and enterprise workflows.