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Deployed on 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.
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
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Dimension | Description | Cost/month |
|---|---|---|
Product Access | Dimension that grants access to the product for subscribers. | $437.00 |
Vendor refund policy
Refunds are not offered for this product
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
DB DatasetAccess | All historical revisions | All future revisions | Not included | Not included |
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