Explore Enzai’s full suite of AI governance products designed to help organizations manage, monitor, and scale AI with confidence. From structured intake and centralized AI inventories to automated assessments and real-time oversight, Enzai provides the building blocks to embed governance directly into everyday AI workflows—without slowing innovation.

Enzai

Third-Party AI Risk

Solution

Govern the AI you don't build with the same rigor as the AI you do.

Third-Party AI Risk

Solution

Govern the AI you don't build with the same rigor as the AI you do.

Third-Party AI Risk

Solution

Govern the AI you don't build with the same rigor as the AI you do.

Enzai third-party AI risk management platform showing assessment actions required, vendor request classification, and AI-introduced risk types - copyright, IP, trademark

Actions Required

12

Overdue Assessment

Assessment A | Due 2 days ago

Assessment Required: New compliance framework released

Compliance framework A v5.7

Approval Request

AI Product C | By Jane Green

Customer Support Ticket Classification

5 requested AI solutions

Requested on: 7 Nov 2026

Requested by: Enzai

Reviewers:

Copyright Infringement

Intellectual Property Violations

High risk

High confidence

Trademark Misuse

Actions Required

12

Overdue Assessment

Assessment A | Due 2 days ago

Assessment Required: New compliance framework released

Compliance framework A v5.7

Approval Request

AI Product C | By Jane Green

Customer Support Ticket Classification

5 requested AI solutions

Requested on: 7 Nov 2026

Requested by: Enzai

Reviewers:

Copyright Infringement

Intellectual Property Violations

High risk

High confidence

Trademark Misuse

Actions Required

12

Overdue Assessment

Assessment A | Due 2 days ago

Assessment Required: New compliance framework released

Compliance framework A v5.7

Approval Request

AI Product C | By Jane Green

Customer Support Ticket Classification

5 requested AI solutions

Requested on: 7 Nov 2026

Requested by: Enzai

Reviewers:

Copyright Infringement

Intellectual Property Violations

High risk

High confidence

Trademark Misuse

Actions Required

12

Overdue Assessment

Assessment A | Due 2 days ago

Assessment Required: New compliance framework released

Compliance framework A v5.7

Approval Request

AI Product C | By Jane Green

Customer Support Ticket Classification

5 requested AI solutions

Requested on: 7 Nov 2026

Requested by: Enzai

Reviewers:

Copyright Infringement

Intellectual Property Violations

High risk

High confidence

Trademark Misuse

Third-party AI risk management is the discipline of governing AI risk that arrives via your vendors - SaaS features that quietly added AI, vendor-integrated models, foundation-model providers your suppliers rebuild on. This isn't about using AI to do vendor risk assessment. It's about governing the AI those vendors put into your stack, with the same rigor you apply to AI you built yourself.

Third-party AI risk management is the discipline of governing AI risk that arrives via your vendors - SaaS features that quietly added AI, vendor-integrated models, foundation-model providers your suppliers rebuild on. This isn't about using AI to do vendor risk assessment. It's about governing the AI those vendors put into your stack, with the same rigor you apply to AI you built yourself.

Enzai catalogs every third-party AI product in your estate (sanctioned and Shadow), maps the model + vendor + data dependencies underneath each one, and monitors for behavioral drift when a vendor pushes a model update. Aligned to EU AI Act vendor risk requirements and ISO 42001 supplier controls - so your third-party governance survives the auditor's question about how your vendors actually use AI.

Enzai catalogs every third-party AI product in your estate (sanctioned and Shadow), maps the model + vendor + data dependencies underneath each one, and monitors for behavioral drift when a vendor pushes a model update. Aligned to EU AI Act vendor risk requirements and ISO 42001 supplier controls - so your third-party governance survives the auditor's question about how your vendors actually use AI.

Continuous monitoring matters more here than in any other governance discipline. The AI your vendors run is changing under you weekly - model swaps, prompt updates, new features your team didn't sign off. Point-in-time vendor due diligence captures the snapshot you signed; continuous monitoring captures what's running today.

Continuous monitoring matters more here than in any other governance discipline. The AI your vendors run is changing under you weekly - model swaps, prompt updates, new features your team didn't sign off. Point-in-time vendor due diligence captures the snapshot you signed; continuous monitoring captures what's running today.

Vendor AI Under Control

Benefits

Vendor AI Under Control

Benefits

Govern the AI your vendors put into your stack - with the same rigor you apply to your own builds.

Govern the AI your vendors put into your stack - with the same rigor you apply to your own builds.

Vendor Catalog

Every third-party AI product in your estate, with owner, dependency, and risk tier.

Dependency Mapping

Vendor → product → model → dataset - see what you actually depend on.

AI-Specific Risk

Risks AI introduces that static TPRM misses - IP, drift, training-data exposure.

Vendor Portal

Collect vendor disclosures through a shared portal - replace 200-email vendor reviews.

Continuous Monitoring

Alert on vendor model swaps, feature pushes, and behavioral drift between reviews.

EU AI Act + ISO Aligned

Map to EU AI Act vendor-risk requirements and ISO 42001 supplier controls automatically.

For TPRM + AI Risk

For the Vendor AI Stack

For TPRM + AI Risk

For the Vendor AI Stack

Third-party AI risk is the gap traditional TPRM playbooks weren't built for. Enzai is the layer that closes it - without rebuilding your vendor management programme.

Third-party AI risk is the gap traditional TPRM playbooks weren't built for. Enzai is the layer that closes it - without rebuilding your vendor management programme.

Assessment Steps

12

Compliant Systems

15

Partial Systems

10

Non-Compliant Systems

Assessment Logic

Translate complex regulatory requirements into actionable, automated scoring workflows.

Assessment Steps

12

Compliant Systems

15

Partial Systems

10

Non-Compliant Systems

Assessment Logic

Translate complex regulatory requirements into actionable, automated scoring workflows.

Assessment Steps

12

Compliant Systems

15

Partial Systems

10

Non-Compliant Systems

Assessment Logic

Translate complex regulatory requirements into actionable, automated scoring workflows.

Microsoft

Show

3 product

Nested structures

Seamlessly connect vendors, products, systems and models with each other.

Microsoft

Show

3 product

Nested structures

Seamlessly connect vendors, products, systems and models with each other.

Microsoft

Show

3 product

Nested structures

Seamlessly connect vendors, products, systems and models with each other.

Copyright Infringement

Intellectual Property Violations

Trademark Misuse

Auto Risk Management

Identify, mitigate, and monitor systemic AI risks through an automated control plane.

Copyright Infringement

Intellectual Property Violations

Trademark Misuse

Auto Risk Management

Identify, mitigate, and monitor systemic AI risks through an automated control plane.

Copyright Infringement

Intellectual Property Violations

Trademark Misuse

Auto Risk Management

Identify, mitigate, and monitor systemic AI risks through an automated control plane.

Multiple requests bundled

Group requests into Use Cases

Organize fragmented AI initiatives into clear, manageable strategic pillars.

Multiple requests bundled

Group requests into Use Cases

Organize fragmented AI initiatives into clear, manageable strategic pillars.

Multiple requests bundled

Group requests into Use Cases

Organize fragmented AI initiatives into clear, manageable strategic pillars.

Related content

Guides, podcasts, more

Related content

Guides, podcasts, more

Further reading on third-party AI risk: what static TPRM playbooks miss, how vendor AI surfaces in your estate, and where dependency chains hide the real exposure.

Further reading on third-party AI risk: what static TPRM playbooks miss, how vendor AI surfaces in your estate, and where dependency chains hide the real exposure.

Vendor Risk Guide

Procurement Podcast

Shadow AI Guide

AI Inventory Guide

ISO 42001 Guide

Third-Party AI Vendor Risk Assessment

AI Procurement with Dr. Cari Miller

Shadow AI: Discovery and governance

How to Build an AI System Inventory

ISO 42001 Practical Implementation

Engineer, Enzai

Third-Party AI Vendor Risk Assessment

Third-Party AI Vendor Risk Assessment

AI Procurement with Dr. Cari Miller

Shadow AI: Discovery and governance

How to Build an AI System Inventory

ISO 42001 Practical Implementation

Engineer, Enzai

Vendor Risk Guide

Procurement Podcast

Shadow AI Guide

AI Inventory Guide

ISO 42001 Guide

Third-Party AI Vendor Risk Assessment

AI Procurement with Dr. Cari Miller

Shadow AI: Discovery and governance

How to Build an AI System Inventory

ISO 42001 Practical Implementation

Engineer, Enzai

Deep dive

Why the existing TPRM playbook misses AI-introduced risk

Most TPRM programmes were built for static vendor risk - financial stability, SOC 2 controls, ISO 27001 certification, contract terms. None of that captures what's specific to AI:


  • Model provenance. Did your vendor train the model, fine-tune an open-source base, or wrap a foundation-model API? Each answer changes the risk shape.


  • Training-data exposure. What did your vendor's model train on? Are your inputs being used to retrain in ways you didn't sign off?


  • Behavioral drift. A vendor's AI changes when they push model updates. The risk profile you assessed at procurement isn't the risk profile running in production three months later.


  • Hidden dependency chains. Your vendor depends on a model provider, who depends on training data, who depends on infrastructure. Each layer can introduce risk you didn't see.


Most TPRM programmes were built for static vendor risk - financial stability, SOC 2 controls, ISO 27001 certification, contract terms. None of that captures what's specific to AI:


  • Model provenance. Did your vendor train the model, fine-tune an open-source base, or wrap a foundation-model API? Each answer changes the risk shape.


  • Training-data exposure. What did your vendor's model train on? Are your inputs being used to retrain in ways you didn't sign off?


  • Behavioral drift. A vendor's AI changes when they push model updates. The risk profile you assessed at procurement isn't the risk profile running in production three months later.


  • Hidden dependency chains. Your vendor depends on a model provider, who depends on training data, who depends on infrastructure. Each layer can introduce risk you didn't see.


Dimension

Static TPRM

AI-aware TPRM (Enzai)

Risk anchor

Vendor financial / SOC 2

+ AI-specific risks (drift, IP, training data)

Cadence

Point-in-time

Continuous monitoring

Visibility

Vendor disclosed

Vendor + dependency chain

Framework fit

ISO 27001, SOC 2

+ EU AI Act vendor risk, ISO 42001 supplier

Dimension

Static TPRM

AI-aware TPRM (Enzai)

Risk anchor

Vendor financial / SOC 2

+ AI-specific risks (drift, IP, training data)

Cadence

Point-in-time

Continuous monitoring

Visibility

Vendor disclosed

Vendor + dependency chain

Framework fit

ISO 27001, SOC 2

+ EU AI Act vendor risk, ISO 42001 supplier

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Enzai in numbers

50%

New customer in 2025

500+

Third-party AI solutions tracked automatically.

+1.5M

Decisions, risks and controls tracked across global teams.

Abstract textured visualization representing secure data flow. Enzai is an AI governance platform built by lawyers.

We help you find answers

What's the difference between AI vendor risk assessment and TPRM?

AI vendor risk assessment tools use AI to automate traditional vendor reviews. Enzai's third-party AI risk management does the opposite: it governs the AI risk that vendors introduce into your stack, with the same rigour you apply to AI you built yourself.

How does Enzai discover vendor AI we didn't sign off on?

What happens when a vendor pushes a model update?

How does Enzai map to EU AI Act and ISO 42001 vendor requirements?

Does Enzai work with our existing TPRM tools?

How quickly can we see our third-party AI estate?

Any more questions?

"We found more than 80 AI features our SaaS vendors had quietly shipped into tools we already paid for. None of them were in our TPRM register."

Ready to see the AI

your vendors quietly shipped?

Enzai is the AI governance platform that brings third-party AI into one inventory - including the AI features embedded in the SaaS tools you already use, alongside the AI you built yourselves.

Hear back in 24 hours

Frosted glass visual with warm amber and gold light. Enzai provides a lawyer-led platform for AI governance and trust.

Customer Support Ticket Classification

5 requested AI solutions

Requested on: 7 Nov 2026

Requested by: Enzai

Reviewers:

Automated Contract Risk Review

5 requested AI solutions

Requested on: 7 July 2026

Requested by: Enzai

Reviewers:

Sales Forecasting & Demand Prediction

5 requested AI solutions

Requested on: 18 August 2026

Requested by: Enzai

Reviewers:

Employee Resume Screening Assistant

5 requested AI solutions

Requested on: 19 June 2026

Requested by: Enzai

Reviewers:

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AI Governance

AI Governance

Infrastructure

Infrastructure

engineered for Trust.

engineered for Trust.

Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.

Seamlessly connect your existing systems, policies, and AI workflows — all in one unified platform.

Seamlessly connect your existing systems, policies, and AI workflows — all in one unified platform.