https://developer.docs.protegrity.com/1.1.0/docs/about_dev/Recent content in Introduction to Protegrity AI Developer Edition onHugoenThu, 25 Jun 2026 05:24:41 +0000https://developer.docs.protegrity.com/1.1.0/docs/about_dev/whatsnew/Wed, 03 Dec 2025 00:00:00 +0000https://developer.docs.protegrity.com/1.1.0/docs/about_dev/whatsnew/<h2 id="general">General</h2> <ul> <li>Added badges to the README for improved visibility and quick access to key resources.</li> <li>Restructured folders for better organization of samples and source code.</li> </ul> <h2 id="data-discovery">Data Discovery</h2> <ul> <li>Upgraded to Data Discovery <a href="https://docs.protegrity.com/data-discovery/1.1.1/docs/">version 1.1.1</a>.</li> <li>Added support for <a href="https://docs.protegrity.com/data-discovery/1.1.1/docs/restapi/classify/csv/">structured text classification</a>.</li> <li>Introduced <a href="https://docs.protegrity.com/data-discovery/1.1.1/docs/restapi/harmonize/">categorized “harmonized” classifications</a>; may affect expected results.</li> <li>General performance and accuracy improvements.</li> </ul> <h2 id="semantic-guardrails">Semantic Guardrails</h2> <ul> <li>Included richer examples in the sample files for easier understanding.</li> <li>Added pre-trained support for additional verticals, Finance and Healthcare.</li> <li>Added a Jupyter notebook sample for seamless evaluation and execution.</li> </ul> <h2 id="api-wrappers">API Wrappers</h2> <ul> <li><a href="https://mybinder.org/v2/gh/Protegrity-Developer-Edition/protegrity-developer-edition/main?filepath=samples/python/sample-app-protect-unprotect/getting-started-protection.ipynb">Online notebook</a> to quickly test tokenization.</li> <li>Provided support and sample implementations for both Python and Java.</li> <li>Ensured Java samples are fully compatible across Linux, macOS, and Windows.</li> <li>Delivered Java source code for customization and compilation flexibility.</li> </ul> <h2 id="synthetic-data">Synthetic Data</h2> <ul> <li>Introduced a new feature for synthetic data generation to support testing and experimentation.</li> <li>Added Jupyter notebook samples for quick evaluation and execution.</li> </ul>