I've created APIs for an application called adaptive authentication. The service is meant to generate risk score for login attempts by capturing context based information from the login session and feeding it into an AI model.

The service exposes 3 APIs:

for risk score generation where the login context parameters are sent in the body of the request and the risk score given in the response

once a risk score is generated, based on how high it is, the client can choose to initiate step up like MFA to challenge the user. If the user successfully passes this, he will be allowed to login. The success/failure of this operations needs to be communicated to the service via this API

It uses machine learning in conjunction with rules to formulate this risk score

It uses these features to formulate the risk score
Attribute Name	Description
appid	Application ID of the target application
device_type	Type of device: Desktop, mobile, etc.
geo_location	Geolocation of the user operating the application (optional)
ip_address	IP address of the user operating the application
locale	Language chosen in the browser
os	Operating System of the user operating the application
screen_height	Screen height of the user operating the application
screen_width	Screen width of the user operating the application
browser	Name of the web browser used by the user operating the application
user_agent	User Agent
color_depth	Color depth of the device used by the user operating the application
shift_count	Keystroke: Number of times the shift key was pressed while entering the User ID
tab_count	Keystroke: Number of times the tab key was pressed while entering the User ID
backspace_count	Keystroke: Number of times the backspace key was pressed while entering the User ID
capslock_count	Keystroke: Number of times the caps lock key was pressed while entering the User ID
delete_count	Keystroke: Number of times the delete key was pressed while entering the User ID
enter_count	Keystroke: Number of times the enter key was pressed while entering the User ID
mouseclick_count	Keystroke: Number of times the mouse buttons were clicked while entering the User ID
numpad_count	Keystroke: Number of times the numpad keys were pressed while entering the User ID
pass_backspacecount	Keystroke: Number of times the backspace key was pressed while entering the password
pass_capslockcount	Keystroke: Number of times the caps lock key was pressed while entering the password
pass_deletecount	Keystroke: Number of times the delete key was pressed while entering the password
pass_enter_count	Keystroke: Number of times the enter key was pressed while entering the password
pass_mouseclick_count	Keystroke: Number of times mouse buttons were clicked while entering the password
pass_numpad_count	Keystroke: Number of times the numpad keys were pressed while entering the password
pass_shift_count	Keystroke: Number of times the shift key was pressed while entering the password
pass_time	Time taken to enter the password
login_time	Time taken to complete the login action
logout_time	Datetime of login completion
session_time	Total session time
login_success	Boolean: If the login attempt was successful or not


You are making a use case document for this service. In this there is a section called "Scenarios" where you describe potential scenarios in which this can be used. Make it brief and succinct