Falcon Integration Gateway (FIG) forwards threat detection findings and audit events from the CrowdStrike Falcon platform to the backend of your choice.
Detection findings and audit events generated by CrowdStrike Falcon platform inform you about suspicious files and behaviors in your environment. You will see detections on a range of activities from the presence of a bad file (indicator of compromise (IOC)) to a nuanced collection of suspicious behaviors (indicator of attack (IOA)) occurring on one of your hosts or containers. You can learn more about the individual detections in Falcon documentation.
This project facilitates the export of the individual detections and audit events from CrowdStrike Falcon to third-party security dashboards (so called backends). The export is useful in cases where security operation team workflows are tied to given third-party solution to get early real-time heads-up about malicious activities or unusual user activities detected by CrowdStrike Falcon platform.
- Python Compatibility
- API Scopes
- Authentication
- Configuration
- Deployment
- Developers Guide
- Statement of Support
Important
Compatible with Python versions 3.7 through 3.11
API clients are granted one or more API scopes. Scopes allow access to specific CrowdStrike APIs and describe the actions that an API client can perform.
Note
For more information on how to generate an API client, refer to the CrowdStrike API documentation.
FIG requires the following API scopes at a minimum:
- Event streams: [Read]
- Hosts: [Read]
Consult the backend guides for additional API scopes that may be required.
FIG requires the authentication of an API client ID and client secret, along with its associated cloud region, to establish a connection with the CrowdStrike API.
FIG supports auto-discovery of the Falcon cloud region. If you do not specify a cloud region, FIG will attempt to auto-discover the cloud region based on the API client ID and client secret provided.
Important
Auto-discovery is only available for [us-1, us-2, eu-1] regions.
Note
This method is not recommended for production deployments.
You can use the config.ini
file to store your API client ID and client secret. The config.ini
file should be located in the config
directory. To configure authentication, add the following to the config.ini
file:
[falcon]
cloud_region = us-1
client_id = YOUR_CLIENT_ID
client_secret = YOUR_CLIENT_SECRET
You can also provide your API client ID and client secret as environment variables. To do so, set the following environment variables:
export FALCON_CLOUD_REGION=us-1
export FALCON_CLIENT_ID=YOUR_CLIENT_ID
export FALCON_CLIENT_SECRET=YOUR_CLIENT_SECRET
You can use a credential store to securely store your API client ID and client secret. FIG supports the following credential stores:
- AWS Secrets Manager (
secrets_manager
) - AWS SSM Parameter Store (
ssm
)
Note
You can use either direct configuration or environment variables to specify the credential store and its associated configurations.
To configure FIG to use a credential store, add the following to the config.ini
file:
[falcon]
cloud_region = us-1
[credentials_store]
#store = ssm|secrets_manager
After selecting a credential store, you must provide the necessary configuration for the store. For example, to use AWS Secrets Manager, add the following to the config.ini
file:
[secrets_manager]
region = YOUR_AWS_REGION
secrets_manager_secret_name = your/secret/name
secrets_manager_client_id_key = client_id_key_name
secrets_manager_client_secret_key = client_secret_key_name
Please refer to the config.ini file for more details on the available options along with their respective environment variables.
Backend | Description | Deployment Guide(s) | General Guide(s) |
---|---|---|---|
AWS | Pushes events to AWS Security Hub | AWS backend | |
AWS_SQS | Pushes events to AWS SQS | Coming Soon | AWS SQS backend |
Azure | Pushes events to Azure Log Analytics | Azure backend | |
CloudTrail Lake | Pushes events to AWS CloudTrail Lake | CloudTrail Lake backend | |
GCP | Pushes events to GCP Security Command Center |
|
GCP backend |
Workspace ONE | Pushes events to VMware Workspace ONE Intelligence | Coming Soon | Workspace ONE backend |
Generic | Displays events to STDOUT (useful for dev/debugging) | N/A | Generic Backend |
❗ Prior to any deployment, ensure you refer to the configuration options available to the application ❗
Please refer to the FIG helm chart documentation for detailed instructions on deploying the FIG via helm chart for your respective backend(s).
To install as a container:
-
Pull the image
docker pull quay.io/crowdstrike/falcon-integration-gateway:latest
-
Run the application in the background passing in your backend CONFIG options as environment variables
docker run -d --rm \ -e FALCON_CLIENT_ID="$FALCON_CLIENT_ID" \ -e FALCON_CLIENT_SECRET="$FALCON_CLIENT_SECRET" \ -e FALCON_CLOUD_REGION="us-1" \ -e FIG_BACKENDS=<BACKEND> \ -e CONFIG_OPTION=CONFIG_OPTION_VALUE \ quay.io/crowdstrike/falcon-integration-gateway:latest
-
Confirm deployment
docker logs <container>
Falcon Integration Gateway (FIG) is available on the Python Package Index.
Warning
Falcon Integration Gateway (FIG) versions below 3.2.3 on PyPI are broken and will not install correctly. Please ensure you install version 3.2.3 or higher from PyPI.
-
Install the package:
python3 -m pip install falcon-integration-gateway
-
Once installed, create a configuration file or set your environment variables according to the CONFIG options before running the application. Example
config.ini
for the GENERIC backend:[main] backends = GENERIC [events] older_than_days_threshold = 5 [logging] level = DEBUG [falcon] cloud_region = us-1 client_id = ABCD client_secret = ABCD application_id = my-generic-id
-
Run the application:
python3 -m fig
To update the FIG package from PyPI, run:
python3 -m pip install falcon-integration-gateway --upgrade
Note
This method requires Python 3.7 or higher and a python package manager such as pip
to be installed on your system.
-
Clone and navigate to the repository:
git clone https://github.com/CrowdStrike/falcon-integration-gateway.git cd falcon-integration-gateway
-
Install the python dependencies:
python3 -m pip install -r requirements.txt
-
Modify the
./config/config.ini
file with your configuration options or set the associated environment variables. -
Run the application:
python3 -m fig
Depending on which configuration method you are using, follow the steps below to update the FIG from the Git repository.
If you have made any changes to the config.ini
file, you can update the FIG by following these steps:
- Make a backup of the
config/config.ini
file. - Remove the
falcon-integration-gateway
directory. - Clone and navigate to the repository again.
- Install/update the python dependencies.
- Update the
config/config.ini
file with your configuration settings.Because the
config.ini
file may have new changes (ie, new sections or options), it is recommended to reapply your configuration settings from the backup to the newconfig.ini
file. - Run the application.
An example of the process:
cp config/config.ini /tmp/config.ini
cd .. && rm -rf falcon-integration-gateway
git clone https://github.com/CrowdStrike/falcon-integration-gateway.git
cd falcon-integration-gateway
pip3 install --upgrade -r requirements.txt
# Review the new config.ini file and reapply your settings from the backup
python3 -m fig
This method ensures that your configuration settings are preserved while updating the FIG to the latest version.
If you are only using environment variables to configure the FIG, you can update the FIG by following these steps:
- Pull the latest changes from the repository.
- Install/update the python dependencies.
- Run the application.
An example of the process:
git pull
pip3 install --upgrade -r requirements.txt
python3 -m fig
Falcon Integration Gateway (FIG) is a community-driven, open source project designed to forward threat detection findings and audit events from the CrowdStrike Falcon platform to the backend of your choice. While not a formal CrowdStrike product, FIG is maintained by CrowdStrike and supported in partnership with the open source community.