Wiz
Wiz builds a graph of cloud resources across AWS, Azure, Google Cloud and Kubernetes, then raises issues where risks combine, such as a public VM with a critical vulnerability and admin permissions. Its GraphQL API returns those issues, vulnerability and configuration findings and the resource inventory. Read in the Lake against owning teams and account spend, cloud risk becomes trackable over time.
- Category
- IT, Security & Monitoring
- Type
- Cloud security
- Interface
- GraphQL API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
- Docs
- Wiz API docs
02Data
What you can sync.
- Issues
- Vulnerability findings
- Cloud resources
- Configuration findings
Keep Wiz issues in your own Lake, on your servers, and report on it with the rest of IT.
Need more? Name any other Wiz data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
Wiz uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Wiz if you need help.
04Questions
Questions you can answer.
Once Wiz data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How many critical Wiz issues does each cloud account carry, and which team owns them?
- What is the median time to resolve issues by severity this quarter compared with last?
- Which configuration rules fail on the most resources, and in which subscriptions?
- Which container images with exploitable vulnerabilities run in production?
- Do the accounts with the most open issues also have the highest cloud spend?
05How it works
How it works in DataMind.
-
Pick Wiz.
Open Lake, pick Wiz in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Wiz API docs.
-
Answer a few questions.
The AI reads the Wiz documentation, then asks which credentials you will use, which data to sync (for example issues and vulnerability findings), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Wiz data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Wiz.
Sources teams join with Wiz in the Warehouse, each one connected the same way.
07Related
