AI Governance & Adoption

AI Tool & Vendor Review

Know what an AI tool can access, process and expose before you approve it.

Praxis Cyber reviews AI tools and vendors before adoption, helping you understand data use, retention, access, privacy, supplier risk and security considerations so your organisation can approve, restrict or reject tools with confidence.

Book a Readiness Call

Advisory focus

Data use and retention

Access and integrations

Vendor and supplier risk

Approve, restrict or reject

AI Governance & Adoption

AI Tool & Vendor Review

Know what an AI tool can access, process and expose before you approve it.

Book a Readiness Call

Advisory focus

Data use and retention

Access and integrations

Vendor and supplier risk

Approve, restrict or reject

AI Governance & Adoption

AI Tool & Vendor Review

Know what an AI tool can access, process and expose before you approve it.

Book a Readiness Call

Advisory focus

Data use and retention

Access and integrations

Vendor and supplier risk

Approve, restrict or reject

The pressure

AI tools are being adopted faster than risk reviews can keep up.

These signals are why practical AI rules, reviews and evidence need to keep pace before adoption scales.

97%

lacked AI access controls

Of organisations reporting AI-related breaches, 97% said they did not have proper AI access controls in place.

48%

policy contravention

Employees who admit using AI in ways that contravene company policies.

30%

GenAI policy in place

Employees who say their organisation has a generative AI policy.

13%

AI-related breach

Organisations reporting breaches involving AI models or applications.

Professional reviewing a laptop during an AI tool or vendor assessment

Practical outcome

Approval decisions with evidence.

Data use, access, retention and supplier risk are reviewed before the tool becomes business-critical.

Practical outcome

Approval decisions with evidence.

Data use, access, retention and supplier risk are reviewed before the tool becomes business-critical.

Data use

Access

Supplier risk

Decision

Overview

Review the tool before it becomes business-critical.

Teams are adopting Copilot, ChatGPT, Claude, Gemini, AI SaaS tools and embedded vendor AI features. But the data flows, retention settings, subprocessors, access permissions and contractual risks are not always clear. We help you understand the risk before approval, rollout or renewal.

What becomes clearer

What the tool can access, retain, integrate with and expose.

What happens next

A practical approval recommendation with conditions, restrictions and evidence.

How it works

How we review AI tools and vendors.

A clear 01/02/03/04 method that turns broad AI questions into practical decisions and deliverables.

Understand

Clarify the business use case, intended users and data involved.

Review

Assess vendor terms, data handling, hosting, retention, access and integrations.

Assess

Evaluate privacy, security, supplier, operational and compliance risk.

Recommend

Provide a clear approve, restrict or reject recommendation with practical conditions.

The benefits

Decide faster with stronger vendor evidence.

The review turns unclear AI tool risk into a practical decision that procurement, IT, privacy and leadership can understand.

Make AI approval decisions with clearer evidence

Reduce sensitive data exposure

Identify risky vendors before rollout

Set practical approval conditions

Help procurement, IT, privacy and security align faster

A review path from request to decision.

Use case

Clarify what the team needs.

Data flow

Understand access and retention.

Supplier risk

Check hosting, terms and controls.

Decision

Approve, restrict or reject.

Frequently asked questions

Common questions before you start.

A few practical points that usually come up before an AI governance engagement.

Book a Readiness Call

Copilot, ChatGPT Enterprise, Claude, Gemini, AI SaaS platforms, AI agents and vendors adding AI into existing products.

We provide a clear risk-based recommendation, including approval conditions or restrictions where needed.

Data use, retention, hosting, subprocessors, access, integrations, security controls, privacy considerations and business use case.

Yes. The best time to review an AI tool is before it is widely adopted or contractually locked in.

Next step

Need confidence before approving an AI tool?

We can help you understand the risk, the data exposure and the practical controls needed before rollout.

Book a Readiness Call