Roll out AI without losing control

One governed layer to connect every system and govern every AI tool so you can roll out across the enterprise.

Start a free trial

Learn more

Why us

The only data layer that is both the governed connectivity to every system and the single control plane over every AI tool.

AI is arriving faster than IT can govern it

Teams are adopting Claude, Copilot, ChatGPT, and coding agents on their own—each wiring its own connection to sensitive data. Every point integration is another ungoverned path, and unmanaged MCP servers can’t be centrally shut off. CData gives IT one sanctioned, audited layer instead.

AI adoption today

Ungoverned sprawl

Every team’s
AI tool

point integrations

no audit, no off switch

Sensitive
data

Each team’s point integration is another ungoverned path to sensitive data
Unmanaged MCP servers can’t be centrally shut off
Shared service accounts fail the security review
Legacy and on-prem systems sit behind boundaries most connectivity can’t cross safely

With Connect AI

One sanctioned layer

Every AI tool Claude, Copilot,
ChatGPT, agents

per-user, audited

Every system SaaS, warehouse,
legacy, and on-prem

One approved way in—not a sprawl of one-off integrations to discover later
Every AI tool governed from one control plane, each scoped to its own workspace
Each user’s own identity enforced at query time—no shared keys
Connects to databases and on-prem sources through the same governed infrastructure

One layer to sanction, and one plane to consolidate

Two jobs, one layer: give every team a controlled, audited, per-user path to enterprise data—and rein in proliferating AI tools behind a single control plane security can sign off on.

For central IT and platform teams

Sanction one path and consolidate the sprawl

One sanctioned layer, not a dozen point connections

A single connectivity layer across all systems—so there is one approved way in, not a sprawl of one-off integrations to discover and audit later. And because the layer’s semantic intelligence cuts tool calls about 35%, rolling AI out broadly doesn’t produce a runaway token bill.

Read: token-efficient enterprise Claude workflows

Govern every AI tool from one control plane

One managed layer serves Claude, Copilot, ChatGPT, and coding agents—with per-tool workspaces and toolkits so IT scopes what each tool and agent can reach.

Set up workspaces & toolkits

Deploy where security requires—including on-prem

A self-hosted / on-prem data plane and key-vault-backed credentials run the layer inside the security boundary, so sensitive data never leaves it.

Deploy Connect Gateway on-prem

Setup key vaults

For security and InfoSec

The controls that get an AI program through security review

Per-user identity, enforced

Each user’s own identity passes through to the source at query time, with SSO, SCIM, and RBAC/ABAC on top—so access maps to real employee permissions and de-provisions automatically.

Set up SSO & SCIM provisioning

Configure permissions & access control

See it all, and stop any of it

Every AI-to-data interaction logged—who asked, what query, which tool—with an observability dashboard and kill switches to revoke a user, disable a source, or lock down the account in seconds.

Explore the audit log API

PII masked, credentials vaulted

PII detection and token masking redact sensitive data at the tool-call boundary, and credentials stay in your enterprise key vault—never at rest in the platform.

Set up PII detection & masking

Connect an enterprise key vault

SOC 2 Type II

HIPAA compliant

GDPR + CCPA compliant

ISO/IEC 27001 certified

What IT gets from it

Security approves the program instead of blocking it, tool sprawl comes under one plane, and one governed layer replaces the integrations nobody wants to maintain.

Yes to AI

One sanctioned, audited, per-user path means security approves the program—enforced SSO with no side doors.

1 control plane

Claude, Copilot, ChatGPT, and coding agents governed from one layer, each scoped to what it should reach—instead of every team wiring its own.

Security review, cleared

Per-user identity, full audit, kill switches, PII masking, and on-prem connectivity answer the security questionnaire directly.

1 layer, not N MCP servers

Instead of maintaining point connections and a home-grown API gateway that struggles with per-user identity, IT runs one governed plane.

Read: managed MCP vs self-hosted

How it works: connectivity, context, control

Connect AI combines governed connectivity, per-user control, one-plane tool governance, and on-prem deployment. No MCP gateway, in-house API gateway, or unmanaged MCP server offers the combination.

Connectivity

One layer, connects to everything

Every system, including on-prem

One managed layer serves every AI tool across hundreds of enterprise systems—including legacy, on-prem, and custom systems. The Connect Gateway can run inside the security boundary.

Explore connectivity capabilities Data access & action

Universal connectivity

See the library

Context

Efficient at scale

Broad rollout without a runaway bill

Source-level semantic intelligence cuts tool calls about 35% and lowers token consumption, and a standardized relational interface keeps answers consistent and accurate across every connected system.

Explore semantic context capabilities Context control plane

Agent tooling

Semantic context

Control

The right combination of control and speed

Per-user identity with full audit

Passthrough identity enforces each user's own permissions at query time—no shared credentials. SSO, SCIM, and RBAC/ABAC keep access in step with the IdP; every query is logged, and incident-response controls revoke a user or disable a source immediately.

Explore control plane capabilities Governance

Identity & access

Security

Connect every system, govern every AI tool

One governed layer between every AI tool your teams bring and every system your data lives in—including the ones behind the firewall.

AI clients

Claude

Microsoft Copilot

ChatGPT

Copilot Studio

Google Gemini

Coding Agents

Any MCP-enabled AI tool

Source systems

Salesforce

SQL Server / PostgreSQL

Jira / Confluence

Azure / Fabric

Snowflake

SAP

Workday

ServiceNow

Hundreds of databases, on-prem systems, and SaaS apps

Say yes to AI across the enterprise—from one control plane