Review the new features introduced to Enterprise Data Loss Prevention (E-DLP) in February
2025.
New Features
New GenAI App Support
February 28, 2025
Enterprise Data Loss Prevention (E-DLP) now supports the following new GenAI apps:
AIVA
ChatHub
DomoAI
Flyfin
Gamma
Groq Chat
HeyFriday
Ideaogram
Kittl
Krater
LensGo
LetsEnhance
MistralAI
Suno AI
Expanded Download Support for Existing App
February 5, 2025
Enterprise Data Loss Prevention (E-DLP) now supports download inspection for the
following app:
AirTable
Structured Data Processing
February 7, 2025
Structured data processing improves Enterprise Data Loss Prevention (E-DLP) detection accuracy when inspecting
.csv, .docx,
.tsv, .xls, and
.xlsx file types that support tabular data formats.
This feature implements intelligent column analysis for Enterprise DLP by
introducing advanced header detection techniques that treat column headers as
proximity keywords that influence detection confidence. Additionally, structured
data processing allows Enterprise DLP to use machine learning techniques to
handle cases of misspelled or missing headers more effectively. Together, these
improvements increase the quality of detections, address limited file format
support, and resolve inconsistent header prediction by the Enterprise DLP cloud
service. Structured data processing strengthens your organization's data protection
strategy by addressing specific challenges related to structured data formats to
improve detection accuracy across various data loss scenarios, and help you meet
compliance requirements to protect value personally identifiable information (PII)
when scanning structured file types.
For example, consider the example .xlsx file below with
three columns containing sensitive data. You formatted column
A correctly. However, you formatted columns
B and C incorrectly
because you misspelled the header for column B and did
not include a column header for Column C. With
structured data processing, Enterprise DLP can now accurately detect and render
verdicts on data in columns B and
C.