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SAST - Static Application Security Testing 

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Static Reviewer and Quality Reviewer, released in the Security Reviewer Suite, are provided both On Premise (Desktop, CI Plugins, Maven / Gradle / SBT / SonarQube Plugins, Ant Task and CLI Interface tested with many CI/CD platforms) and in Cloud (our Web App offered in an high-performance European or American Secured Cloud Infrastructure), as Container (Docker, Kubernetes, OpenShift or any other APPC-compliant). Static Reviewer executes code checks according most relevant Secure Coding Standards for commonly used Programming Languages. It offers a unique, full integration between Static Analysis (SAST), Software Composition Analysis and DAST (Dynamic) analysis, directly inside Programmers IDE.

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SCM Integrations

You can directly checkout (push) source code from the following SCM platforms:

The source code will be stored temporary in an encrypted folder and loaded in a secure buffer.

Analysis Results can be stored in the above SCM platforms.

You can do that using our Jenkins plugin or directly from our Desktop app.

File Servers

All our products can work accessing files on local file system, as well as the following File Sharing Systems:

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  • Oracle MySQL 5.6 or higher

  • Oracle Database RAC 12 or newer (includes Oracle APEX)

  • Microsoft SQL Server 2012 or newer

  • PostgreSQL 9.0 and higher

  • Alpine H2 1.4.196 or newer

  • MariaDB 10.x

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logging
logging
Logging

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The above logs are customizable according the customer needs.

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languages
languages
Supported Programming Languages

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Low Code: Appian BPM andSAIL, ServiceNow Client-Side/Server-Side/Glide/Business Rules/Jelly, UIPath RPA, Microsoft Flows and PowerApps, Oracle Application Express (APEX), Siebel eScript, Svelte, Camunda, Salesforce APEX, BMC-EngageOne Enrichment (formerly Pitney Bowes StreamWeaver).  

Integration Integration Platforms: TIBCO ActiveMatrix BusinessWorks, BMC Control-M

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Supported Libraries and Frameworks (Static Analysis)

JAVA: 146 Frameworks

https://en.wikipedia.org/wiki/List_of_Java_Frameworks

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Parameters: Parameters in Naive Bayes are the estimates of the true distribution of whatever we're trying to classify. The variables your algorithm is trying to tune to build an accurate model..

Classifier: Classifiers are also referred to group of attributes. .

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