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1. What is Data Breach Response?: An AI-powered solution used to reduce the
time, cost, and risk to produce an entity notification list
2. What unit is billed for Data Breach Response?: Gigabytes of data in Data
Breach Response per month
3. How can you provide RelativityOne users access to DataBreach Response?-
: Add them to a group that has the correct permissions set
4. What must you provide to analyze documents in Data BreachResponse?: A
saved search with documents to ingest
5. What tools does Data Breach Response leverage for personal information
identification?: Pre-built AI and ML models to find pre-determined PI types.
6. How does Data Breach Response link personal information (PI) for struc-
tured and unstructured documents?: PI is automatically linked for structured
documents and automatically linked for unstructured documents.
7. How does Data Breach Response expedite manual deduplication efforts
while still providing transparency into the process, leading to faster and
cleaner generation of entity reports?: Through automatic deduplication of entities
and entity review workflows.
8. What is an advantage of Data Breach Response compared too ther solu-
tions?: Its a purpose-built data breach application in RelativityOne.
9. What is a benefit to using Data Breach Response?: Data never leaves the
RelativityOne security boundary
10. How much can review time be reduced, on average, when leveraging AI in
Data Breach Response?: 50%
11. How long does it take, on average, to produce an initial assessment of
personal information found within a data set?: 2-3 days
12. What are the two reports that can be used to QC entity results?: Merge
reason table and Unlinked PI Log.
13. What should you do after resolving conflicts generated by the automat-
ic entity normalization process?: Rerun the deduplicate individuals and report
generation Incorporate Feedback stages to record your changes and generate an
updated version of the Entity Centric Report.
14. What is the purpose of configuring your deduplication preferences?: To tell
the algorithm how to deduplicate the entities found within the data set.
15. What information about entities is searchable with PI and Entity Search?-
: Other names an entity is known by in the dataset.
16. What is the purpose of resolving conflicts within EntityClusters?: To per-
form quality control efforts on the machine-generated list of entities with possible
similarities.
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