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alexa-ds-and-aws's Introduction

Security Automation by Voice Control

A Python 3 integration using Falsk-ask to integrate with Deep Security Web API's, Alexa, and awscli.

NOTE: This is a very initial commit and not recommended for use in production environment yet.

Creating Alexa Lab – (Flask-ask Install)

Create a virtualenv to install Flask-ask

$ virtualenv -p python3 --no-site-packages AlexaLab
$ . AlexaLab/bin/activate

Following process on the link below to create a Flask Environment, Alexa Skill and Install ngrok

⚠️OBS:. Before to go to the next steps make sure Flask-ask and Alexa Skill it’s working properly. You will need an Alexa Dot or Tap to complete this first step.

Creating Alexa Lab - (DSP3 Install)

Install DSP3 inside the virtualenv AlexaLab

  • Check if the virtualenv have these following requirements installed:
  suds-py3 >= 1.2.0.0
  requests >= 2.9.1

⚠️OBS:. If not, install using pip install.

  • Install DSP3 inside virtualenv
  $ pip install -i https://testpypi.python.org/pypi dsp3

Creating Alexa Lab - (awscli install)

  • Install awscli inside the virtualenv AlexaLab
  $ pip install awscli

Project Files Description

Files Name Description
sec_in_cloud.py The main code to be used by the Flask-ask web service
templates.yaml YAML file for speech templates
SecDashCloud.json Cloud Formation JSON code to deploy a demo environment
deploy_ds Deployment script for Deep Security Agent

⚠️OBS:. There are comments in each file for the code lines that you will need to update with your own information.

Video demo about Project 🎥

Next Features (Planning)

  • Create security process to keep the credentials for Deep Security and the .pem for AWS account.
  • Create some authentication when you asked the application. This could be an integration with Google Authenticator.

⚠️OBS:. This is an Open Source project that can anyone help to develop new call or features to help everyone that would like to use voice control for security automation.

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