Release Notes 12/4/25

Release Notes - December 4, 2025

Summary

This release introduces comprehensive Role-Based Access Control (RBAC) infrastructure, marking a major milestone in enterprise readiness. We've expanded session tracking capabilities across all API versions, enhanced Use Case functionality with validation and filtering improvements, and significantly improved Listen mode flexibility. These updates enable organizations to implement fine-grained permissions across security teams while ensuring consistent user experience and supporting diverse deployment scenarios.

API Changes

Session Tracking in V1 API: The v1/events API now supports session tracking, enabling conversation context maintenance across all API versions. This enhancement provides consistent session management regardless of which API endpoint organizations integrate with.

Listen Mode Flexibility: Listen mode now accepts payloads containing both input and output without requiring an event_id. The event_id is only required when providing output without input, enabling more flexible integration patterns for organizations performing security analysis on existing interaction logs.

New Features

Language Detection Signal

Aiceberg now detects the language(s) used in prompts and responses, enabling you to identify potential data exfiltration risks or policy violations when unexpected languages appear in AI interactions. This capability is particularly valuable for organizations operating in regulated environments or those requiring language-specific content policies.

Language detection data is available throughout the platform:

Profile configuration allows language-based policy enforcement
Prompt details display detection per interaction
Integration with Code Present signal for enhanced filtering accuracy

Agent Instruction Signal

Monitor when LLMs provide instructions or directives to agents in your agentic workflows. This new signal specifically classifies the response side of agent-LLM interactions, helping you detect when models are issuing unexpected commands or guidance that could indicate alignment issues or security concerns.

The signal displays:

All detected instructions with their categories and subcategories
Percentage probabilities for each instruction type
Full visibility regardless of enforcement mode
Single unified view in monitoring for streamlined analysis

Role-Based Access Control (RBAC)

Aiceberg now provides comprehensive RBAC infrastructure enabling organizations to implement fine-grained access control:

Role Management:

Create custom roles with specific permission sets tailored to organizational needs
Assign users to roles programmatically via API or through the user interface
Define role hierarchies that align with security team structure

This capability enables organizations to implement principle of least privilege, ensuring team members have exactly the access they need for their security responsibilities.

Enhanced Use Case Management

Name Validation: Use Cases now prevent duplicate names, eliminating confusion when managing multiple agentic workflow configurations. The platform validates uniqueness both at creation and save, ensuring clear identification of security policies.

Description Handling: Long Use Case descriptions no longer expand the width of creation screens, maintaining consistent layout and readability when documenting complex multi-agent workflow configurations.

Filtering Improvements: Resolved Use Case filtering issues in monitoring views, ensuring proper isolation of interactions by workflow type when analyzing security signals.

Profile Navigation Enhancement

Profiles now include direct navigation links to their filtered Monitoring logs, reducing clicks required to investigate security signals and improving workflow efficiency for security analysts moving between configuration and analysis tasks.

Improvements

Signal Distribution Accuracy

Instruction Override Inclusion: The Signal Distribution spider graph on Overview pages now properly includes Instruction Override flagged counts. Previously, this critical adversarial signal category was missing from the visualization despite being detected and logged.

The fix ensures security teams have complete visibility into all signal categories when assessing overall security posture at a glance.

User Management

User Retrieval Reliability: Resolved critical issue preventing user retrieval in test environment, restoring full user management capabilities for security administrators.

Tools Menu Completeness: Fixed missing items in tools menu, ensuring all platform capabilities are properly accessible to users based on their permissions.

Monitoring Experience

Color Persistence: Resolved issues with signal color highlighting remaining consistent across page interactions, improving visual continuity when analyzing security patterns.

API Key Management: Fixed checkbox rendering in API key management interface, restoring ability to properly select keys for bulk operations.

Bugs Fixed

Resolved user retrieval failures in test environment
Fixed missing tools menu items affecting feature discoverability
Corrected Use Case filtering not properly isolating workflow interactions
Eliminated checkbox rendering issues in API key management
Fixed persistent color highlighting for signals across page interactions

Infrastructure & Integration

Session Context Maintenance: With session tracking now available across all API versions, organizations can maintain conversation context regardless of integration approach, supporting both modern and legacy implementations.

Role Data Models: Established robust data structures for RBAC, providing foundation for future permission enhancements including resource-level access control and custom permission definitions.

Listen Mode Integration: The enhanced Listen mode flexibility supports organizations that:

Perform batch security analysis on historical interaction logs
Analyze outputs from systems where the original prompt isn't available
Conduct post-hoc security assessments of AI interactions from third-party platforms

This change simplifies integration for retrospective security analysis use cases.

This release represents a major milestone in enterprise readiness, delivering the user management, access control, and user experience consistency that large security teams require for production AI monitoring deployments. The combination of RBAC infrastructure, enhanced Use Case management, comprehensive session tracking, and resolved Snowflake isolation issues positions Aiceberg for seamless adoption across complex organizational structures in regulated industries.

Was this article helpful? Yes | No