Use of artificial intelligence techniques to identify possible inadvertent data disclosures in emails
US-2024422114-A1 · Dec 19, 2024 · US
US9215212B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9215212-B2 |
| Application number | US-48932909-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 22, 2009 |
| Priority date | Jun 22, 2009 |
| Publication date | Dec 15, 2015 |
| Grant date | Dec 15, 2015 |
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The present invention is directed towards systems and methods for generating a representation a plurality of learned rules from a learning engine of an application firewall. The representation may be generated based on a history of URL communications with a web server. A learning engine of an application firewall may determine a plurality of learned rules based on a history of URL communications with a web server. Each of the plurality of learned rules mat be assigned a URL string. A visualizer can categorize a subset of the plurality of learned rules under a first check type of a plurality of check types. The visualizer may further generate a tree representation of URL strings of the subset of learned rules. Each node of the tree corresponds to a segment of the URL strings identified based on a delimiter for the URL strings.
Opening claim text (preview).
What is claimed is: 1. A method of generating a representation of a plurality of learned rules from a learning engine of an application firewall based on a history of uniform resource locator (URL) communications with a web server, the method comprising: a) determining, by a learning engine of an application firewall, a plurality of learned rules based on a history of URL communications with a web server, each of the plurality of learned rules assigned a URL string; b) categori…
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