Description

Background
In this project students will build new tools for collecting and analyzing risks in the configuration of modules that will be written in Nodejs. Students will be exposed to machine learning and artificial intelligence algorithms to tackle risk collection, learning and analysis.
The project will include connecting to external APIs, site validations and implementing algorithms to download False Positives.

Project Tasks
2. System description
2.0 The nature of the application
The tool will be built in NodeJS and React JS in a flexible architecture that can handle high loads. It will be necessary to interface to external APIs and build the application in a Microservices configuration.
2.1 List of capabilities of the application
1. The application will interface to external interfaces.
2. The application knowledge to assess weaknesses of SSL certificates.
3. The application will display the results in the system interface

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task

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Identity MGMT

Cyber

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task