Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

Third-party AI risk

The AI arrived after you approved the tool.

The AI arrived after you approved the tool.

Review the part that’s new.

Review the part that’s new.

Link each vendor’s products to the systems and models behind them, assess each use on its own and record each model change, alongside the procurement and GRC tools you already run.

Link each vendor’s products to the systems and models behind them, assess each use on its own and record each model change, alongside the procurement and GRC tools you already run.

CRM providerVND-00031Approved for use
Last reviewed Mar 12, 2024
DM
Export
Months since review
31
Renewed Mar 2025
Changes since review
3
Jul to Oct 2026
Vendor risks
1
Customer data in prompts
Systems using it
1
Sales assistant
Since your last review
Mar 12, 2024JulSepOct
Today
Changes since your review
Jul 2026

AI assistant on by default for all seats

Renewal order form
Not reviewed
Sep 2026

Summaries now run on a different model

Release note
Not reviewed
Oct 2026

New terms: customer content may improve AI features

Email to the billing contact
Not reviewed
Details
Owner
DM
ProductsCRM platform
TerritoriesUnited KingdomEuropean Union
CertificationsSOC 2ISO/IEC 27001

Your vendor review stops where the AI starts.

Your vendor review stops where the AI starts.

Your vendor review stops where the AI starts.

Due diligence asks whether a company is safe to buy from. AI raises questions it was never built to answer.

Due diligence asks whether a company is safe to buy from. AI raises questions it was never built to answer.

Use

One approval, many uses

One approval, many uses

Approval happens once per product, but the same tool can be low risk in one team and high risk in another.

Supply chain

Built on someone else’s model

Built on someone else’s model

Your contract is with the vendor. The model provider underneath is one you never assessed.

Ownership

Everyone holds a piece

Everyone holds a piece

Procurement, security, privacy and legal each own part of the vendor. Nobody owns the AI inside it.

Vendors ship AI between reviews.

Vendors ship AI between reviews.

Vendors ship AI between reviews.

AB1QuestionVendor answer2Encryption at restYes3Overall resultPass

Security

The questionnaire covers encryption and SOC 2, not the model.

The questionnaire covers encryption and SOC 2, not the model.

The vendor passes, and nothing on file describes its AI at all.

Sam Ortiz2:14 PM
#hr-team
Ranking applicants with the writing tool. Huge time saver.

AI governance

HR starts ranking applicants with marketing’s writing tool.

HR starts ranking applicants with marketing’s writing tool.

It was approved for drafting copy, and its new job counts as high risk under the EU AI Act.

Docs platform privacy
To: Shared inbox · 7:48 AM
Subprocessor list updated
Added: a model provider for AI features.

Privacy

A vendor adds a model provider to its subprocessor list.

A vendor adds a model provider to its subprocessor list.

The notice lands in a shared inbox, and no one links it to the teams using the product.

Tuesday, Nov 3
9 AM
ISO 42001 audit: suppliers
9:00 to 11:00 AMEvidence: supplier selection

Procurement

An ISO 42001 auditor asks how each AI supplier was chosen.

An ISO 42001 auditor asks how each AI supplier was chosen.

The approval is in a procurement thread from two years ago, and its owner has since left.

Why it keeps happening

64% of organizations assess an AI tool’s security before it’s deployed, but only 40% review it periodically.1 In UK financial services, 46% of firms report only a partial understanding of the AI they use, mostly because of third-party models.2 Average scores on the Foundation Model Transparency Index fell from 58 in 2024 to 40 in 2025.3

Review the change, not the whole vendor.

Review the change, not the whole vendor.

Review the change, not the whole vendor.

Inventory

Vendor to model

4 linked records
VendorCRM providerVND-00031
ProductCRM platformPRD-00058
SystemSales assistantSYS-00212
ModelMDL-00117Replaced Sep 18, 2026
Model history
KR
Replaced by: MDL-00117Sep 18, 2026

Reason: Vendor moved summaries to a new model

01

Send the new feature through review

Raise a request for just that feature. The earlier approval stays on its record, and the new decision shows in the inventory.

See AI intake and review
02

Assess the new use on its own

Each system built on a vendor’s product gets its own assessment, against the EU AI Act or your own policy. Vendor risks show on each connected system.

See AI risk and compliance
03

Keep the chain from vendor to model

Link each vendor to its products, the systems that use them and the models underneath. Replace a model, and the reason, person and date are kept.

See AI discovery and inventory

Questions buyers ask

Questions buyers ask

Questions buyers ask

What is third-party AI risk management?

Third-party AI risk management means knowing which AI your vendors supply, which models sit underneath, how your teams use it and what risks follow. One review at purchase can’t cover it, because vendors keep adding features, changing models and rewriting their terms.

Does Enzai replace our TPRM or GRC tools?

No. Keep your questionnaires, contracts and vendor due diligence where they are. Enzai covers the AI detail those reviews rarely reach: which products use AI, the systems and models behind them, and the risks of each way your teams use them. You can export a vendor’s record as PDF or CSV to file with your vendor review.

What happens when a vendor changes its model?

Someone on your team records it. Replace the model on each system that uses it and give a reason. Enzai keeps who made the change and when, with the earlier model in the system’s history. Enzai doesn’t watch vendors’ release notes, terms or sub-processor lists for you, so a person still raises the change.

How do we show an auditor how a vendor’s AI was approved?

Start from the vendor’s record: its products, the systems that use them and their owners, each system’s assessments and model history, and the risks scored on the vendor before and after treatment. Each request keeps its decisions, with names and dates. Whether that meets a standard like ISO 42001 is for your auditor to decide.

Every vendor’s AI, on record.

Every vendor’s AI, on record.

Every vendor’s AI, on record.

With each change since you signed.

With each change since you signed.

With each change since you signed.

Book a demo and we’ll show you how to map one of your vendors down to its models and assess each way your teams use it.

Book a demo and we’ll show you how to map one of your vendors down to its models and assess each way your teams use it.