Release Notes 9/29/25

Release Notes - September 16 - September 29, 2025

Summary

This release focuses on dramatic performance improvements and infrastructure optimization, delivering up to 10x faster response times through direct Step Function orchestration and aggressive caching strategies. We've enhanced Listen mode capabilities, improved trace data accuracy, and made significant strides in test coverage and observability. These updates position Aiceberg for zero-latency security monitoring at enterprise scale while maintaining comprehensive visibility into AI interactions.

API Changes

Listen Mode Expansion: Listen mode now supports the new event analysis API, enabling real-time security monitoring without active enforcement, perfect for organizations starting their AI security journey or testing new policies.

Performance Improvements

Zero-Latency Architecture

Aiceberg has implemented several architectural enhancements that deliver dramatically faster response times for security monitoring:

Streamlined Request Processing: Optimized our request routing architecture to eliminate unnecessary processing layers, reducing latency by up to 70% for security analysis workflows.

Intelligent Caching: Deployed smart caching strategies that reduce redundant database lookups and authentication overhead, with extended cache durations for frequently accessed security policies providing near-instantaneous response times for repeat operations.

Optimized AI Models: Updated our semantic analysis engines with performance-optimized models that maintain detection accuracy while processing content significantly faster.

Efficient Data Flow: Minimized data transfer between security analysis components by eliminating duplicate information, reducing network overhead and accelerating overall processing time.

Always-Ready Infrastructure: Implemented always-warm compute resources for critical security paths, eliminating initialization delays that previously affected first requests in high-priority workflows.

Combined Impact: These optimizations work together to deliver up to 10x faster response times compared to our previous architecture, enabling true zero-latency security monitoring at enterprise scale.

Monitoring & Observability

Latency Measurement: Added granular timestamps throughout the processing pipeline, enabling precise measurement of sources of latency and supporting SLA adherence verification.

New Features

Enhanced PII Detection

Full Name Accuracy: PII detection now requires multiple tokens for full name identification, preventing false positives when single names (first or last only) appear in content. This reduces alert fatigue while maintaining protection for genuine personal information exposure.

Improvements

Monitoring Enhancements

Collection Management: Completely revamped collection drawer with improved design and logic, streamlining workflow for organizing and managing security test suites.

User Column Positioning: Moved "user" column in Monitoring view to precede prompt content, making it easier to identify which team members or systems are generating flagged interactions.

Trace Data Quality: Fixed multiple issues affecting trace display:

Resolved missing named entities in trace views
Corrected label display issues showing incorrect signal categories
Fixed intent data missing from trace data sources

Session Tracking

Background Session Resolution: Session ID resolution now occurs as a background task rather than blocking progress, improving throughput for multi-turn conversation monitoring while maintaining complete session tracking capabilities.

Created_at Attribute: Updated content_resolve_prep to pass created_at as integer when session tracking is enabled, ensuring proper temporal ordering of interactions.

Bugs Fixed

Resolved issue where monitoring page wouldn't load in test environment due to data retrieval errors
Eliminated AWS authentication errors in sample composition page
Fixed issue where reporting links in prompt details led to non-existent pages
Resolved problem with trash icon not displaying correctly in production and staging environments

This release represents a major architectural leap forward, delivering enterprise-grade performance while maintaining the comprehensive observability that security teams require. The direct Step Function orchestration combined with aggressive caching strategies positions Aiceberg to support the most demanding AI security monitoring workloads at scale.