Release Notes 10/29/25

Release Notes - October 29, 2025

Summary

This release delivers critical performance improvements and data optimization that reduce processing overhead and accelerate security analysis workflows. We've resolved major issues affecting the Cannon and CSV upload functionality, enhanced trace visualization with sentiment analysis, and streamlined our data architecture for faster processing. These updates strengthen platform reliability while preparing the infrastructure for upcoming role-based access control features.

New Features

Sentiment Analysis in Trace

Trace views now display sentiment analysis results directly in the conversation flow, providing security teams with emotional context when investigating potentially problematic interactions. This capability helps identify:

User frustration patterns that may precede social engineering attempts
Emotional manipulation tactics in multi-turn attacks
Behavioral anomalies that correlate with security incidents

Sentiment data appears alongside other security signals in trace views, enabling holistic analysis of interaction patterns.

Intent & CPVS Neighbors in Trace

Trace now displays semantic neighbors for Intent and CPVS (Content Policy Violation Signals), showing related content chunks that share similar characteristics. This feature helps security analysts understand the broader context of flagged content and identify patterns across similar interactions.

Improvements

Cannon Reliability

Production Execution: Resolved critical issue preventing Cannon runs from executing in production environment, restoring batch testing capabilities for security teams.

Run Navigation: Fixed navigation bug where tapping a Cannon run was applying filters instead of directing to monitoring results, improving workflow efficiency when reviewing test outcomes.

CSV Upload Restoration: Resolved CSV uploader failures across test and staging environments, restoring the ability to bulk import prompts for security testing.

Monitoring Integration: Cannon runs now properly display in monitoring views when filtering by Cannon log group, ensuring complete visibility into batch test results.

Monitoring & Display

Overview Population: Fixed issue where Overview pages weren't consistently populating with data, particularly affecting Playground and Cannon activity summaries.

Profile Name Handling: Resolved layout breaks caused by long profile names in Overview displays, maintaining clean interface regardless of naming conventions.

Debug Mode Feedback: Improved UI feedback in debug mode with proper loading states and toast notifications, making it easier for developers to troubleshoot integration issues.

Event Icons: Updated event type icons for better visual distinction between different interaction types in monitoring views.

Bugs Fixed

Resolved prompts missing from monitoring when filtering to Cannon view
Fixed CSV uploader functionality across test and staging environments
Corrected email verification warning display in User Management
Eliminated sticky selector column setting issue in staging monitoring
Fixed blocklist toggle issue where enabling turned off blocklists and prevented re-enabling

UI/UX Enhancements

Mobile Optimization: Implemented VirtualizedInfiniteList in Cannon page for mobile devices, improving performance and scroll behavior for security teams working from tablets or phones.

Dashboard Clarity: Removed system actions from dashboard donut charts, focusing visualization on user-initiated interactions that are more relevant for security analysis.

Infrastructure & Security

API Gateway V2 Verification: Completed verification that Cannon and Playground functionality remains intact with new API Gateway v2 endpoints, ensuring smooth transition to improved infrastructure.

Onboarding Enhancement: Aiceberg onboarding emails now include company name, improving brand recognition and reducing confusion for new users during account setup.

Authentication UX: Fixed issue where incorrect customer ID submission would resubmit on every keystroke change, improving login experience and reducing accidental lockouts.

This release focuses on infrastructure stability and performance optimization, delivering faster security analysis processing while resolving critical workflow issues. The combination of data optimization, Cannon reliability improvements, and enhanced trace visualization strengthens Aiceberg's capabilities for enterprise-scale AI security monitoring.