DB DatasetAccess
Provided By: AWS
DB DatasetAccess
Provided By: AWS
## DataBorder (DB) Dataset Access: COVERT CHANNEL DATA LOSS PREVENTION A disgruntled or outside influenced employee can work against the organisation, stealing & divulging information they have been trusted with. This dataset tracks our anonymised observations of covert channel DLP alerts for background risk reporting and machine learning use cases.
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Public offer
Payment schedule: Upfront payment | Offer auto-renewal: Supported
$437 for 1 month
Overview
DataBorder (DB) Dataset Access: COVERT CHANNEL DATA LOSS PREVENTION
Information can make the difference between success and failure. Competitors getting your trade secrets gives them the advantage you have worked or invested to build.
Employees know the ideas & plans, sensitive data, designs & computer code. A disgruntled or outside influenced employee can work against the organisation, stealing & divulging information they have been trusted with. Pressurised work environments heighten the risk, as do redundancies, restructuring and economic pressure.
Insiders know what to take and how to use it.
THEFT METHODS HAVE EVOLVED PROTECTION... Regular data transfer methods are now well secured at the perimeter. Systems even have some success predicting and detecting rogue insiders.
BUT: Determined Insiders have found ways to extract data through unorthodox, covert means.
This dataset reports on when covert data leaks are observed by our platforms.
Use Cases
The anonymised dataset can be used for data leak risk reporting and machine learning to observe trends
Metadata
| Description | Value |
|---|---|
| Update Frequency | monthly |
| Data Source(s) | Data Border proprioetary data gathered from DLP alerts |
| Original Publisher of data | Data Border Ltd |
| Data Creation Date | March 2023 |
| Data Modification Date | March 2023 |
| Geographic coverage | Global |
| Time period coverage | March 2023 - updates to follow in the future |
| Is historical data "point-in-time" | YES |
| Data Set(s) Format(s) | CSV with timestamp, observations and our internal "convexity" metric |
| Raw or scraped data | RAW proprietary data |
| Key Fields | timestamp, observations, convexity |
| Key Words | DLP, covert channel, leak detection |
| Number of companies/brands covered | None |
Additional Information
- [Data Source] DataBorder: http://www.databorder.com/product-dlp-features.php
Need Help?
- If you have questions about our products, contact at enquiries@databorder.com
About Our Company
Provided By
Fulfillment Method
AWS Data Exchange
Data sets (1)
You will receive access to the following data sets
Revision access rules
All historical revisions | All future revisions
Name | Type | Data dictionary | AWS Region |
|---|---|---|---|
DB DatasetAccess | Not included | US East (N. Virginia) |
Usage information
By subscribing to this product, you agree that your use of this product is subject to the provider's offer terms including pricing information and Data Subscription Agreement . Your use of AWS services remains subject to the AWS Customer Agreement or other agreement with AWS governing your use of such services.
Support information
Support contact email address
Support contact URL
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Refund policy
Refunds are not offered for this product
General AWS Data Exchange support