October 2025

SaaS Platform Migration from Azure to AWS

• We have migrated both our EU and US SaaS environments from Azure to AWS for all users who rely on our cloud-hosted SaaS platform.

AI Asset Management Improvements

Issues Page

• Introduced a unified Issues dashboard with full visibility into pending and resolved issues, including severity breakdowns, environment, asset types, and detection timestamps.

• Added an Issue Detail view that displays asset metadata, issue descriptions, recommended actions, and supports commenting.

• Implemented a resolution workflow that allows users to mark issues as resolved with specific resolution types (e.g., Not reproducible) and add notes for auditability.

• Added a changelog to track all issue status updates and reviewer actions.

Figure 1: Issue Details on Issues Page

Overview Page

• Updated AI Asset Management Overview page to include an issues summary table showing the five most recent issues, along with a severity pie chart that highlights the total number of issues across Critical, High, Medium, and Low levels.

Models Page

• Each discovered model can now be marked as Approved, Unreviewed, or In Review.

• A status distribution section has been added to the Models page to visualize these categories.

• The Models page now also includes a table listing all issues related to models.

Model Benchmarks

• Our Model Benchmarks have been extended to include results for the following models:

  • CodeLlama-13b-Instruct-hf

  • CodeLlama-34b-Instruct-hf

  • CodeLlama-7b-Instruct-hf

  • Phi-4

  • Qwen2.5-Coder-1.5B-Instruct

  • Qwen2.5-Coder-14B-Instruct

  • Qwen2.5-Coder-32B-Instruct

  • Qwen2.5-Coder-7B-Instruct

  • Qwen3-30B-A3B-Instruct-2507

  • Qwen3-4B-Instruct-2507

  • Qwen3-Next-80b-A3B-Instruct

  • Qwen3-Next-80b-A3B-Thinking

Improvements & Tweaks

• Added an AI Analysis flag to analyzed probe runs, visible on Probe Cards in the Overview page and in the Probe table on the Test Run page.

• Added tooltips across AI Assets to provide clear explanations of key terms.

• AI Runtime Protection now automatically saves policy changes.

• Added OAuth authentication to the REST API Connector, enabling integration with Targets that require token-based authentication. For more details, refer to the REST API connection page.