About Custom Document Types
Table of Contents
Expand all | Collapse all
-
- Register and Activate Enterprise DLP on Prisma Access (Panorama Managed)
- Edit the Enterprise DLP Snippet Settings on the DLP App
- Enable Role Based Access to Enterprise DLP on Strata Cloud Manager
- Enable Optical Character Recognition on Strata Cloud Manager
- Enable Optical Character Recognition for Enterprise DLP
-
-
- Create a Data Profile on the DLP App
- Create a Data Profile with EDM Data Sets on the DLP App
- Create a Data Profile with Data Patterns and EDM Data Sets on the DLP App
- Create a Data Profile with Nested Data Profiles on the DLP App
- Create a Data Profile on Strata Cloud Manager
- Create a Data Profile with EDM Data Sets on Strata Cloud Manager
- Create a Data Profile with Data Patterns and EDM Data Sets on Strata Cloud Manager
- Create a Data Profile with Nested Data Profiles on Strata Cloud Manager
- Create a Data Filtering Profile on Panorama
- Create a Data Filtering Profile on Panorama for Non-File Detection
- Update a Data Profile on the DLP App
- Update a Data Profile on Strata Cloud Manager
- Update a Data Filtering Profile on Panorama
- Enable Existing Data Patterns and Filtering Profiles
-
- How Does Email DLP Work?
- Activate Email DLP
- Add an Enterprise DLP Email Policy
- Review Email DLP Incidents
-
- Monitor DLP Status with the DLP Health and Telemetry App
- View Enterprise DLP Log Details on the DLP App
- Manage Enterprise DLP Incidents on the DLP App
- View Enterprise DLP Audit Logs on the DLP App
- View Enterprise DLP Log Details on Strata Cloud Manager
- Manage Enterprise DLP Incidents on Strata Cloud Manager
- View Enterprise DLP Audit Logs on Strata Cloud Manager
- View Enterprise DLP Log Details on Panorama
About Custom Document Types
Learn more about how
Enterprise Data Loss Prevention (E-DLP)
uses custom documents you upload to
prevent exfiltration of sensitive data. Where Can I Use This? | What Do I Need? |
---|---|
|
|
Enterprise Data Loss Prevention (E-DLP)
supports upload and detection of custom documents containing
intellectual property for which you want to prevent exfiltration. You can upload a
custom document type to Enterprise DLP
to classify and detect standardized
documents and prevent exfiltration of sensitive data. Custom document types uploaded to
Enterprise DLP
are used in data profiles as match criteria and can be used
along with predefined Machine Learning-based data patterns
to apply additional ML-based detection algorithms complimented by confidential or
sensitive data specific to your organization. Enterprise DLP
uses Indexed Document Matching and Vector Machine Learning to
fingerprint and index uploaded custom documents to scan for and detect documents that
completely or partially match what you have already uploaded. - Indexed Document Matching (IDM)—Used to fingerprint documents and create a document type for documents commonly used by your organization. Uploading multiple documents allows you to create a custom document repository that you can use in a data profile.
- Vector Machine Learning (VML)—Supervised machine learning model that analyzes document types for classifications. As you upload more custom documents as types,Enterprise DLPis able to continuously train the VML model to accurately detect sensitive data matches to inspect for and prevent exfiltration (Positive Training Documents) and those to ignore (Negative Training Set).
Using IDM for detection of sensitive data is powerful enables
Enterprise DLP
to
continuously improve its detection capabilities by indexing unstructured text in your
documents. Examples of different types of custom documents where IDM can be successfully
applied are:- Standardized forms or documents specific to your business or organization
- Patent documents
- Specific business agreements
- Specific intellectual property documents
Custom documents types are less effective if uploaded custom documents are too generic or
not specific to your organization, such as:
- Generic whitepapers
- Generic datasheets
- Image or graphic-heavy documents with little text.
For example, your organization both buys and sells software. You want to only detect
instances of sensitive customer data contained in invoices for software that you sell.
In this case, you can upload a copy of your organization's invoice as a custom document
types for fingerprinting.
However, custom document types will be less effective if you wanted to detect receipts
for software your organization purchases. This is because there is too much variance in
format between the various software vendors your organization purchases from. Greater
document variance results in less accurate detection of matched traffic.
Predefined Document Types
Enterprise DLP
provides the following predefined document types.The predefined document types listed below were originally predefined ML-based data patterns. If you have data
profiles using any of the following predefined document types converted from
ML-based data patterns:
- All existing data profile inspection will continue to function as expected.
- All basic data profiles referencing the converted predefined ML-based data patterns listed below should be recreated to detect the predefined document types.A basic data profile is a data profile that includes only data pattern match criteria. Basic data profiles cannot be edited and must be recreated.
- All advanced data profiles referencing the converted predefined ML-based data patterns should be edited to reference the appropriate predefined document types instead of the predefined ML-based data pattern.An advanced data profile is a data profile that includes any combination of data pattern, EDM, and document types match criteria.
- Bank - Bankruptcy Filings
- Bank - Statements
- Financial - Form 1040
- Financial - Form 1099
- Financial - Form 1120
- Financial - Form W-2
- Financial - Form W-9
- Financial - Invoice
- Financial - Paystubs
- Legal - Business Agreements
- Legal - Lawsuits
- Legal - Merger and acquisition
- Legal - Patent Filings