There are more reports with GEODI Discovery.
The system admins and members of "ACC.Discovery"
group can access the reports. The reports are visible in the workspaces only if "ACC.Discovery":true
settings exist in the GenericSettings in Workspace Advanced settings.
Report: Discovery-Content Findings
The Content Finding Report lists metadata types (Identifiers) extracted for each document. It is simpler compared to the Content Summaries report and can be used to identify compliant/non-compliant content.
You can obtain a similar report based on the source. It's called the Content Finding Source Report.
Report: Discovery- Content Findings(DB)
This report tells about which table/column contains sensitive data. It works only for DB content. For unstructured data, please use the Content Findings report.
Report: Discovery- Content Findings Summary(DB)
Content Discovery (DB) Report gives the table/column information containing sensitive data. It works only for Databases. For unstructured data, please use Content Discovery report.
Report: Risk Report
GEODI Content Risk Report allows you to calculate risk scores on a content basis post-discovery. Risk calculation is performed as follows:
You should assign a risk score from 0 to 100 to each source. Sources that you do not assign a score to are assumed to have a risk score of 0 (meaning no risk). In sensitive areas such as shared file repositories where sensitive data should not exist, the risk score should be high. In protected areas like databases, the risk score should be low. Users determine the risk score for each source themselves.
The findings include identifiers in the calculation. In the default report, identifiers labeled as IsFinancial (credit card, IBAN, CVV, PIN, password) and PII (name, ID number, email, address, tax number, foreign ID, passport) or tagged as IsRisky are considered risky.
In the report, each content includes values from the Content List and additionally includes the following values:
The risk score of the source
Number of risky identifiers
Calculated Risk Score → Source risk score x Number of risky identifiers