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The Enforcement Runtime for AI.

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

Abstraktní pozadí s přechodem teplých zlatavých tónů do černé barvy.

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

Email

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.

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.

Messages

AI Messages Checked

347,892

Passed

Passed clean

327,015

Rewritten

Rewritten

17,394

Blocked

Blocked

3,483

Every message, every employee, every agent. This week.

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.

SOC 2 Type II

ISO 27001

GDPR

HIPAA

SSO

VPC Deployment

Per-tenant isolation with customer-managed encryption keys.

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.

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Full name
WORK EMAIL
Company
Use case
Expected monthly enforcement volume
  • Fewer than 100,000
  • 100,000 to 1 million
  • 1 million to 10 million
  • More than 10 million
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Available to new accounts through Sept. 30, 2026. Credits expire Dec. 31, 2026.