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smartsync tuning service is in charge of analyzing logs that help adjusting the AI model using supervised learning

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openappsec/smartsync-tuning

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openappsec/smartsync-tuning

About

open-appsec is a machine learning security engine that preemptively and automatically prevent threats against Web Application & APIs.

open-appsec smartsync-tuning service is in charge of correlating data from multiple agent instances and create tuning suggestions that will help improve appsec learning model.

open-appsec smartsync-tuning service compilation instructions

Prequisites

In order to build the service process - golang 1.19 must be deployed on build machine. Instructions how to install golang can be found here: https://go.dev/doc/install

(The above is not needed when building the service as a container)

Compiling smartsync-tuning service process

  1. Clone this repository
  2. Build using golang
 $ git clone https://github.com/openappsec/smartsync-tuning.git
 $ cd smartsync-tuning/
 $ go build -o server ./cmd/server/main.go

Building smartsync-tuning service container

  1. Clone this repository
  2. Build docker image using docker client
 $ git clone https://github.com/openappsec/smartsync-tuning.git
 $ cd smartsync-tuning/
 $ docker build -f build/package/Dockerfile . -t smartsync-tuning

License

open-appsec/smartsync-tuning is open source and available under the Apache 2.0 license.

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smartsync tuning service is in charge of analyzing logs that help adjusting the AI model using supervised learning

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