Introducing Command: ZeroDrift's console for AI compliance.

You built an AI agent that can answer customers, draft recommendations, or send messages on behalf of your company. Now you need to answer a harder question before it goes live: what happens when the agent says something your firm is not allowed to send?

Here's that question made concrete. An agent drafts a client email:

Before it ever reaches an inbox, ZeroDrift's firewall flags the promissory claim, rewrites it, and shows the diff:

That check runs on every message your agents produce, in milliseconds, before it ships.

A single AI assistant generates a compliance team's entire year of review work in a day. Banks running these agents send over 100 million messages a month. Each carries the same regulatory exposure as a message a person wrote by hand, and none of it can sit in a review queue.

ZeroDrift enforces policy at both layers: what your people send and receive, and what your agents generate and act on. Increasingly, neither side of an exchange is human. Agents email people, people email agents, agents call other agents directly. ZeroDrift is a firewall on top of all of it, checking messages before they go out or land.

Today, we're introducing Command: the control plane where compliance teams enforce and train the AI firewall to their standards.

Compliance review doesn't scale to AI

Engineering teams want to ship agents and copilots. Compliance teams have to sign off on every word those systems produce, because a promissory claim or a leaked deal codename is a regulatory violation, not a bug ticket. For developers, that makes compliance a build dependency: every change to the prompt, the model, or the policy reopens review, and releases queue behind it.

Existing tools don't close the gap. On a test set built with a securities lawyer, frontier models missed most of the violations; Anchor, ZeroDrift's own compliance model, caught noticeably more. And DLP tools watch for known-sensitive strings, like a social security number or a credit card, but can't know that a codename is a live M&A deal. Only the firm knows which terms are dangerous.

One console for the whole stack

Policy defines what's allowed, Anchor is our model that decides whether content violates it, Guard enforces at the point of contact, and Command shows the result. Every decision carries the rule that fired and the reasoning behind it. Checks return in milliseconds, and everything the console does is available over ZeroDrift's API.

Policy Studio turns a policy document into a proposed set of enforceable rules: Keyword, Disclosure Check, or AI-Assisted. An admin reviews and activates them. Built-in rulepacks for securities, banking, insurance, and digital-asset regulations, with more added continuously; a firm's own rules layer on top as a Rule Pack.

Restricted Lists catch the secrets only your firm would recognize, like deal codenames, restricted trading lists, and confidential client names. They match variants and aliases, and never silently overwrite an analyst's correction.

The Sandbox lets developers see the firewall before writing any code: paste a message, and see the original with violations underlined, the corrected version, and the diff between them.

Every check resolves to one of four decisions.

• Pass: clean content goes through.
• Auto-fix: for AI content only, the fix lands inline.
• Warn: a person's message goes through with a suggested fix, because ZeroDrift never silently rewrites a human's words.
• Block: the action is denied and logged.

Every checked message lands in the Activity Center: the flagged snippet, the rules that fired, the outcome, and the full timeline from flagged to sent. Guard enforces inline in both directions: an inbound trading tip is stopped the same way an outbound unbalanced claim is. And for AI traffic, the Gateway checks every request and response without requiring you to rewrite anything, with configurable behavior against violations.

From sandbox to production

The Sandbox and the API run the same check. Submit a message for validation:

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That returns a job_id you poll for the result:

Same rule, same reasoning, same fix your compliance team already approved in Policy Studio. Full schema, including sync mode for inline responses, is in the API reference.

Built for regulated trust

ZeroDrift is certified across SOC 2 Type II, ISO 27001, GDPR, and HIPAA, the baseline that lets Command sit in front of live client traffic on day one, not after a year of procurement.

What’s next

Command will build upon what we’ve announced today: Guard extending inline enforcement to Microsoft 365 and Google mail flows for your people, not just your agents. MCP support so any agent framework calls the firewall directly; and Policy Studio's rulepacks growing to cover insurance, banking, healthcare, and digital-assets regulation out of the box.

Get started

Reach out to our team to get a workspace provisioned, then head to the Sandbox and watch the firewall decide on your own content. You don't need an integration to try it.

Compliance used to mean finding out after the fact. Command means knowing before it happens.