Four AI problems
sit in one asset class.
CerteroX shows which AI tools your people use, what they can access and what they cost, so you can encourage adoption without losing control of spend or data.
CerteroX covers all four, because it already covers SaaS, cloud, assets and identity.
Shadow AI · adoption risk
IllustrativeAI tools detected across the organisation
Classified from application feature tags
- AI tools detected seats, keys, grants and agents
- 34
- Reviewed and managed
- 9
- Blocked
- 3
- Unreviewed no owner, no risk assessment
- 22
- Highest adoption tool share of organisation signed in
- 41%
- OAuth grants with drive access risk score ≥ 70
- 6
Adoption risk model
three tiers, by share of organisation
AI spend is growing faster than anyone can see it.
AI arrives through staff subscriptions, developer accounts, cloud computing and tools that connect to company data. Finance sees one invoice, IT sees a cluster and security sees an unapproved tool, and nobody sees the whole picture. CerteroX brings all of it into one view so each part has an owner and a decision.
- Cost
Every AI pound has an owner.
Subscriptions, usage charges and computing costs for AI are tracked alongside everything else, so growth is a choice rather than a surprise.
- Risk
Know what AI can read.
See which AI tools have been granted access to company drives, mail or systems, and review those permissions as carefully as user accounts.
- Effort
The list keeps itself current.
New AI tools are recognised as they appear, so governance does not depend on someone maintaining a spreadsheet of names.
Three of the five disciplines.
Each runs standalone and shares one asset model, so the parts of this that span products need no integration work.
- Primary CerteroX AI Management Models, experiments, GPU fleets, agents and the MCP layer, governed as one asset class. Learn more
- Also applies CerteroX SaaS Management AI seats, OAuth grants and the workflow engine that revokes them. Learn more
- Also applies CerteroX Cloud Management The cost model and policy engine underneath the compute. Learn more
Running the SAM or IT side? The full detail covers how the figures are built, what each part of the platform does and the questions practitioners ask us most.
Show advanced detailYou already have AI
in production.
See how it surfaces.
Shadow AI ranked by adoption share, OAuth grants with data access, agent tool calls on the audit trail and GPU spend against an owner: four governance problems, one populated AI position. Tell us which assistants worry you most.
A policy written against a real inventory is a policy people follow.