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Published Release Notes

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This documentation is for non-current versions of Pega Platform. For current release notes, go here.

Automatic draft off mode for processes in case types

Valid from Pega Version 8.5

App Studio now supports automatically turning off the draft mode for processes in your case types. Any process that you add to a case type is in draft mode by default so that you can run the case type to check the run-time behavior even if the process contains errors. However, in a production environment, processes in draft mode do not work. To save time and deliver your projects faster, any process that has no errors now automatically switches off draft mode when you save the case type. Additionally, Case Designer now displays a list of errors that processes in your case type include, so that you can quickly locate any issues.

For more information, see Save time and effort with automatic draft off mode for processes in case types (8.5), Draft mode of case processes.

Usability improvements in the Email Manager and Case Manager portals

Valid from Pega Version 8.5

Pega Email Bot™ customer service representatives (CSRs) working in the Email Manager, Case Manager, or Case Worker portals can now quickly reply to one recipient or to all recipients. CSRs can also view the sentiment analysis of an email (positive, negative, or neutral) for each received email, displaying the sentiment pattern for the entire email thread in a triage case. The email bot improvements add value for CSRs working in the portals and help them save time when responding to user requests.

For more information, see Understanding the email triage process and Replying to customers by email for an email bot.

Enhancing your revision management process with Deployment Manager pipelines

Valid from Pega Version 8.5

Pega Platform 8.5 offers improved synergy between revision management and the automated deployment process provided by Pega's Deployment Manager 4.8 pipelines. Use Deployment Manager 4.8 to increase the efficiency of business-as-usual application changes and automatize the deployment of revision packages.

For more information, see Managing the business-as-usual changes.

Support for Cloud AutoML topic detection models

Valid from Pega Version 8.5

In Prediction Studio, you can now connect to topic detection models that you create in Cloud AutoML, Google's cloud-based machine learning service. You can then use the models to categorize and route messages from your customers.

For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).

Support for custom topic detection models through an API

Valid from Pega Version 8.5

In Prediction Studio, you can now connect to your custom topic detection models through an API. You can then use the models to categorize and route messages from your customers.

For more information, see Broaden your selection of topic detection models by connecting to third-party services (8.5).

Default Create stage in a case life cycle

Valid from Pega Version 8.5

Pega Platform™ now adds a default Create stage to a case life cycle every time you create a new case type, both in App Studio and Dev Studio. The default Create stage includes a view that users interact with to provide initial data before case processing begins. Consequently, you can now easily locate the view to make any necessary changes. In the background, the Create stage makes a case type independent from the starting process, which removes relevant advanced configurations and makes application development faster.

For more information, see Capture initial data faster with the default Create stage (8.5), The Create stage.

Control group configuration for predictions

Valid from Pega Version 8.5

You can now configure a control group for your predictions in Prediction Studio. Based on the control group, Prediction Studio calculates a lift score for each prediction that you can later use to monitor the success rate of your predictions.

For more information, see Customizing predictions.

Response timeout configuration for predictions

Valid from Pega Version 8.5

You can now set a response timeout for your predictions in Prediction Studio. By setting a response timeout, you control how Prediction Studio registers customer responses that later serve as feedback data for your predictions.

For more information, see Customizing predictions.

New JWT access token format: Authorized Access Token

Valid from Pega Version 8.5

Pega Platform™ is changing from using opaque tokens to using JSON Web (JWT) tokens and the JWT access token format: Authorized Access Token (AAT). An AAT enables a client application to validate the server for user permissions and authorizes a specific application to access specific parts of a user’s data.

The major benefits to using the JWT format are:

  • The JWT is a self-contained token that has authentication information, expire time information, and other user-defined claims digitally signed.
  • A single token can be used with multiple applications.
  • The tokens are short-lived and can minimize damage if transport security is compromised, as the token signature is verified.
  • As the token is verified with the signature, there is no need to verify against a database, thus reducing latency (usually important for Web APIs).

For more information, see Understanding authorized access tokens.

Improvements to OAuth 2.0 Services with Token Introspection Service and Token Denylist Service

Valid from Pega Version 8.5

Increase the security of user sessions by using the newly supported Token Introspection and Denylist services for OAuth 2.0.

Token Introspection service

Use the Token Introspection service to validate JSON Web Tokens (JWT). The Token Introspection service requires authentication. 

Pega now uses OAuth 2.0 access tokens called Authorized Access Tokens (AAT). 

Token Introspection service endpoint

The Token Introspection service endpoint provides the information about the status of access token and refresh token. Token introspection can be used to validate if a given token is still active or inactive. The token introspection endpoint determines whether the token is valid. The status indicates whether an access token or refresh token is valid or invalid: 

  • Valid tokens have the “active”:true status
  • Invalid tokens have the “active” :false status.

The inactive status can also be due to revocation. 

Token Denylist service

You can add tokens to the deny list in cases where suspicious activity might have occurred. The Token Denylist service provides a method for denying user access to the application by revoking the user's access token. This service can prevent a token from being used more than the specified number of times, which can be helpful in preventing replay attacks. Stolen tokens should be revoked using this service. A GET API is also available to get the list of denied tokens.

Keys endpoint

Pega Platform™ is changing from using opaque tokens to JSON Web (JWT) tokens. If this JWT is used by any other system, the public key is needed for signature verification. A new endpoint is exposed to provide these public keys in JWK format: https://host:port/prweb/api/oauth2/v1/token/keys.

 

For more information, see OAuth 2.0 Management Services.

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