Training the ABS AI engine - PingIntelligence for APIs

Training the ABS AI engine - PingIntelligence for APIs - 5.2

PingIntelligence

bundle

pingintelligence-52

ft:publication_title

PingIntelligence

Product_Version_ce

PingIntelligence for APIs 5.2 (Latest)

category

APISecurity

AdvancedAPICybersecurity

Capability

Environment

Product

apisecurity

capability

linux

pi-52

pingintelligence

private

ContentType_ce

For ABS to start predicting various attacks types, the model needs to be trained.

The number of hours (default: 24 hours) is configurable for model training.

Set the value of training_period parameter using PingIntelligence Dashboard or the Global configuration update REST API.

Note:
For more detailed information about training the AI model, see Managing AI engine training.
Start the training.

Note:
The training starts as soon as ABS receives the first API traffic from ASE and continues for the number of hours set in the attack_initial_training parameter. Training occurs automatically when a new API is added.
Verify training completion.
1. To check the ABS training status, use the ABS admin API, which returns the training duration and prediction mode. The API URL for the admin API is https://<ip>:<port>/v4/abs/admin.
  
  Note:
  ip and port number are of the ABS machine.
The following is a snippet of the output of the admin API:
```
"message": "training started at Thu Dec 26 12:32:59 IST 2019",
"training_duration": "2 hours",
"prediction": true
```
If the prediction variable is true, ABS has completed training and is discovering attacks. A false value means that ABS is still in training mode.
Note:
ABS only detects attacks after the training period is over. During training, no attacks are generated.