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.
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.
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.
01
Understand
Clarify the business use case, intended users and data involved.
02
Review
Assess vendor terms, data handling, hosting, retention, access and integrations.
03
Assess
Evaluate privacy, security, supplier, operational and compliance risk.
04
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.
01
Use case
Clarify what the team needs.
02
Data flow
Understand access and retention.
03
Supplier risk
Check hosting, terms and controls.
04
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
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
Praxis Cyber
AI governance, cyber assurance and secure adoption support.