AML AI release notes

This page documents production updates to AML AI. Check this page for announcements about new or updated features, bug fixes, known issues, and deprecated functionality.

You can see the latest product updates for all of Google Cloud on the Google Cloud page, browse and filter all release notes in the Google Cloud console, or programmatically access release notes in BigQuery.

April 25, 2024

A new major engine version is now available for Retail and Commercial lines of business, within the v4 tuning version. This includes:

  • More sensitive skew metrics for better model and data quality monitoring
  • A bugfix for risk score threshold estimation used in recall metrics in AML AI resource metadata

March 15, 2024

Improved the party de-registration process. You can now remove parties without prediction intent (that is, those parties not included in a create prediction results request) within a 45-day window following registration.

March 13, 2024

Released a new v4 engine versions for the commercial line of business, with more reliable tuning performance, in particular for small datasets.

March 12, 2024

Added a new metric to AML AI, providing insight into the importance of each feature family to an AML AI Model. This metric is available in new v4 engine versions. It allows you to:

  • Act on model monitoring outputs in the context of their importance to a model
  • Check the contribution of your Party Supplementary Data to a model

March 04, 2024

AML AI has improved handling of supplementary risk indicators included in your datasets. This includes:

  • Release of new engine versions within both v003 and v004, improving usability of party supplementary data. You can now use letters, numbers, and underscores for the party supplementary data ID.
  • Addition of new data validations for party supplementary data IDs.

Save time and cost when adopting new EngineVersions:

  • For new engine versions, including versions in v003 and v004, you can now inherit hyperparameters from an existing engine config instead of re-tuning. This leads to quicker creation, and there are no additional costs for tuning.
  • All of your existing engine versions can be used as a source for inheriting hyperparameters.
  • See Configure an Engine to find out more about how this works.

February 28, 2024

Added a new engine version page so you can keep track of the latest engine version releases.

January 22, 2024

Added a quickstart guide and a sample dataset to use with it. You can use these together for end-to-end functional testing of the AML AI API prior to, or in parallel to, moving sensitive customer data to Google Cloud.

December 01, 2023

V4 engine versions for retail and commercial lines of business are now available. These engine versions extend support to datasets with up to 130 million parties and 2+ years of transactions. The retail engine versions include new KYC feature families including occupation, tenure, and assets for improved risk detection performance.

The following fields are now included in the AML input schema:

  • occupation
  • civil_status_code
  • education_level_code
  • assets_value_range

November 15, 2023

V3 engine versions for retail and commercial lines of business are now available. These engine versions improve the labeling methodology and address bugs in earlier engine versions, improving both reliability and performance.

June 29, 2023

AML AI is generally available with release version v1.

The API supports the following capabilities:

  • Model tuning through engineConfig resources
  • Backtesting and prediction using a model
  • Exporting metadata from an engine config, model, backtest, or prediction resource