# Release Notes

{% updates format="full" %}
{% update date="2026-04-27" %}

##

{% endupdate %}

{% update date="2026-04-17" %}

##

This release delivered the foundation of the Shadow AI dashboard with new user and overview pages, redesigned the sidebar and analytics navigation structure, and added customer-facing API endpoints for sessions and use case management. A range of UI polish and reliability fixes round out the release.

#### New Features

* **Use Cases out of beta.** The beta tag has been removed from Use Cases.
* **Chatbot vs agent workflow setting.** Use cases can now be configured as either chatbot or agent workflows, with agent-to-agent mapping support.
* **Shadow AI dashboard expansion.** Added a Shadow AI user page and Use Cases overview page, expanding the Shadow AI surface area introduced in March.
* **New session API endpoints.** Added `GET /sessions/{session_id}` and exposed session end and session status fields on the customer API.
* **Tool inspection in event details.** The event details drawer now includes tool inspection information.
* **Default roles applied at customer creation.** New customers now have default roles applied automatically when they're created.
* **Partial match filtering on display name.** Use case and profile searches now support partial match filtering on display names.
* **Overview to filtered monitoring.** Added a navigation path from the Overview page directly into filtered monitoring views.
* **Syntax highlighting in log monitoring drawer.** Log content is now syntax-highlighted in the monitoring drawer.

#### Improvements

* **Sidebar redesign.** Redesigned the sidebar with expandable sections, inline submenus, and a reorganized structure. Analytics routes have been restructured, breadcrumbs now resolve display names cleanly, and table column headers and layouts have been standardized.
* **Sessions navigation.** A pass over sessions navigation including back navigation behavior, a session details page, and a "pick a profile" gate on monitoring.
* **Home page responsive layout.** The home page now adapts to different screen sizes.
* **Monitoring row highlighting.** Selected rows in the monitoring table are now visually highlighted.
* **Logs in monitoring/playground preview.** Fixed logs not appearing in the monitoring/playground preview page.
* **Cannon collection submission.** Improvements to the cannon collection submission workflow.

#### Bug Fixes

* **Sort profile and use case lists by created date.** Profile and use case list pages now sort by creation date (newest first) by default.
* **Sub-category display in trace.** The trace view now shows both category and sub-category for level-one signals (Sentiment, CPVS, IOR), where previously only the top-level signal was visible.
* **Prompt details signal loading.** Fixed an issue where prompt details signals failed to load on first view in the playground, requiring a manual refresh.
* **Use Case name and description updates.** Use case name and description edits now reflect immediately in the list view, no longer requiring a page refresh.
* **Date display.** Fixed a date display issue affecting profiles and use cases where dates were showing the wrong day.
* **Overview tooltip overflow.** Fixed metrics display tooltips overflowing their containers on the Overview page.
* **Flagged secrets percentage display.** Fixed flagged secrets percentage circle showing 0% in prompt details when it should have reflected actual signal data.
* **Firefox text display.** Fixed a Firefox-specific issue where text wasn't displaying in log analysis.
* **Cannon prod runs retrieval.** Fixed an "error retrieving runs" issue on the cannon page in prod.
* **Cannon collection button.** Fixed the send button on a cannon collection that wasn't becoming clickable after configuration.
  {% endupdate %}

{% update date="2026-03-13" %}

## Product update

### Summary

This release brought the Shadow AI feature set to full stack completeness. Adversarial detection was extended to the response side of agentic workflows, and event type handling was hardened to support dot notation and new variety types. Use cases now resolve their configured profile automatically. 

***

#### Breaking API Change

**Use Case Profile Resolution**

* Use cases now automatically look up and apply their configured profile without requiring `profile_id` in each API call; customers using use cases should no longer to include the profile ID directly in their request--including both will result in an error

#### New Features

**Shadow AI — Full Stack Completion**

* Built Shadow AI services page, completing the full Shadow AI UI surface across runs, events, overview, and services

**Adversarial Detection on Responses**

* Implemented adversarial signal analysis on the response side of agentic workflows, extending coverage beyond prompt-only detection

***

#### Improvements

**Event Type Handling**

* Added handling for dot notation event types (e.g., `agt_tool.mcp`) in the frontend

**Navigation & UX**

* Fixed sessions list page scroll — the page was not scrollable, trapping users in a fixed view

***

#### Bug Fixes

* Fixed profile\_version=None persistence failure on the output path — output-only events were failing to persist when profile version was not explicitly provided

***

*AIceberg* *Copyright © 2026, AIceberg*
{% endupdate %}

{% update date="2026-02-27" %}

## Product update

### Summary

This release represents a significant phase of Shadow AI detection build-out alongside important reliability and accuracy improvements across the Guardian Agent. Work focused on completing the full Shadow AI UI surface — runs, events, and overview pages — while hardening signal detection correctness, profile caching, and session management. Several high-priority bugs around adversarial config behavior, event type handling, and signal accuracy were resolved, with LLM error transparency surfaced directly in the API response for better customer visibility.

***

#### New Features

**Shadow AI Detection**

* Shadow AI dashboard, runs page, events page, and overview page — completing the full Shadow AI UI surface
* Added search and sorting capabilities 
* Added additional filters 

***

#### Improvements

**Signal Accuracy & Behavior**

* Corrected intent handling for PII and secrets signals — intent is no longer suppressed when PII or secrets fire alongside other signals, and intent is now properly shown as `--` when the signal is disabled rather than overriding with a misleading value
* Fixed code present signal incorrectly showing as "on" for response analysis
* Resolved security signal count discrepancy between prompt detail view and monitoring table

**API & Event Processing**

* Fixed output-only requests using `event_id` that were failing with a 422 content analysis error
* Resolved event type support — all documented event types including dot notation (e.g., `agt.agt`) now process correctly; previously only a subset were accepted
* Stripped leading and trailing whitespace from event inputs to prevent downstream processing errors
* Fixed None value handling in system actions
* Removed unused preload code in the event analysis API

**LLM Transparency**

* LLM proxy now returns a proper error code and message when the upstream LLM fails to respond, rather than returning an empty result that appeared as a platform failure
* LLM error states are now surfaced in the API response so customers can distinguish upstream LLM issues from Guardian Agent issues

**Session & Monitoring**

* Fixed sessions navigation — tapping "open in monitoring" from a session now correctly loads the monitoring view
* Fixed monitoring view hanging indefinitely when sorting by column; resolved a path-dependent query issue when navigating to monitoring from a profile rather than from a cannon run

***

#### Bug Fixes

* Fixed adversarial config not respecting profile settings — adversarial was running on both input and output regardless of profile configuration
* Fixed models running when disabled in the profile; confirmed all signals respect their per-signal on/off state
* Fixed local test runner overriding the API user context
* Fixed empty profile ID in EAP orchestrator causing unhandled failures; empty profile IDs are now caught and rejected at the request boundary
* Fixed subcategory status field returning null incorrectly in production
* Fixed Shadow AI `get_integrations` timeout with a refactor to improve reliability
* Fixed incorrect LLM processing time being recorded for events with no LLM processing
  {% endupdate %}

{% update date="2026-02-10" %}

## Product update

### Summary

This release introduces significant monitoring UX improvements including redesigned expand/collapse behavior, optimistic bookmarking, descriptive empty states, and donut chart accuracy fixes. The instruct signal UI receives final polish with proper response-side expansion, intent blocking visibility, and signal probability display on trace pages. 

### New Features

#### Signal Probability Display

**Trace Page Probabilities**: Signal probabilities now display under each chunk on the trace page, sourced from the signals endpoint. This gives security analysts deeper visibility into confidence levels behind each signal detection.

**Trace Distance to Percent**: Converted trace distance values from raw numbers to percentages for more intuitive interpretation of signal proximity analysis.

#### Intent Blocking Visibility

**Blocked-for-Intent Indicator**: When input is blocked due to intent classification, users now see a clear indicator explaining why the block occurred, reducing confusion about enforcement actions.

#### Signal-Driven Intent Display (Frontend)

**Intent Override UI**: The frontend now displays the signal name as intent when signals fire on a prompt (matching the backend change from the previous release), with appropriate UI treatment showing "Signal(s) fired: Secrets, Cyber crimes, Instruction override" style text.

#### User Feedback on Signal Reports

**Report Submission Feedback**: After submitting a signal report in prompt details, users now receive visual confirmation. The text box closes and the report icon changes appearance. Reports submitted without comments also provide feedback, addressing the previous experience where nothing visibly happened.

### Improvements

#### Monitoring UX

**Expand/Collapse Redesign**: Reworked the expand all behavior in prompt details to restore the caret-based expansion pattern. When toggled, passed categories show with the caret closed while blocked or modified categories expand with the caret open. This behavior now works consistently on both prompt and response sides.

**Optimistic Bookmarking**: Bookmarking now provides instant visual feedback by activating the button immediately, rather than waiting for the endpoint response. If the server returns an error, the bookmark state reverts with a snackbar notification.

**Donut Chart Accuracy**: Fixed the prompt/response action donut charts to properly handle low-value and zero-value slices. Small slices now have a minimum visible size so users can identify all categories without relying solely on number labels.

**Request Volume Chart Labels**: Added x-axis labels to the request volume chart on the dashboard for clearer time-series interpretation.

#### Instruct Signal Polish

**Instruct Signal Styling**: Refined the instruct signal color system—red indicates flagged + not allowed, while a secondary color indicates flagged + allowed, replacing the previous red/green/gray scheme.

**Instruct Signals Removed from Prompt Cards**: Cleaned up prompt cards by removing instruct signal indicators that were adding visual noise without sufficient value at the card level.

**Intent Repositioned**: Moved intent from the top of prompt details to the first line under Content, allowing it to display both category and subcategory in full with proper row expansion. Relevance Density removed per stakeholder feedback.

**Goal Hijacking Display Fix**: Resolved an issue where Goal Hijacking signals appeared as triggered in the data but did not display as fired in the detail view.

#### Profile Picker Fixes

**Profile Picker in Monitoring**: Fixed the profile picker filter in test and staging environments where searching for a profile returned no content.

**Profile Picker After Use Case Selection**: Resolved a bug where selecting a use case filter caused the profile picker to show as empty, even when multiple profiles existed for that use case.
{% endupdate %}

{% update date="2026-02-03" %}

## Product update

### Summary

This release delivers major improvements to signal accuracy and monitoring clarity, with a new per-subcategory status system that provides granular insight into how each signal was evaluated. We've introduced sessions monitoring with rolled-up session summaries, overhauled the instruct signal UI, and resolved a critical analytics outage affecting all environments. 

### Critical Fixes

#### Analytics Outage Resolution

**Overview/Analytics Restored**: Resolved a critical issue where analytics dashboards failed to load across all environments (production, staging, and test). Playwright tests flagged the outage, which was traced to the migration of ogma\_stats to dynamic SQL tables. The API returned 200 status codes but no data rendered in the UI. Both new and legacy profiles were affected.

### New Features

#### Sessions Monitoring

**Session Summary Table**: Introduced a new sessions monitoring view that rolls up conversation data into session-level summaries. Users can now see at a glance for each session: start time, session ID, event count, head message intent, combined analysis times, token counts, and signal counts across all categories (PII, Secrets, Toxicity, Illegality, Code, Adversarial, and Instructions). The view supports filtering by use case and profile, with appropriate column behavior for rolled-up vs. per-event data.

**Session Summary Polish**: Refined the sessions UI with navigation improvements (renamed "Monitoring" to "Events," added Sessions link to dropdown), icon differentiation for intent vs. tokens and duration vs. analysis time, cleaned up table headers, and ensured consistent behavior between session summary and session detail views. Session detail events now show event type (user-to-agent) and color-code action pills based on actual input/output actions.

#### Instruct Signal Overhaul

**Prompt Details Reorganization**: Overhauled the instruct signal layout in prompt details, improving the visual hierarchy and readability of signal results.

**Status/Instruct Follow-up Fixes**: Updated green checkmarks to gray "passed" icons, fixed light mode category count text readability, and refined the "No signals flagged" display logic to only appear when genuinely no signals were flagged on either prompt or response.

**Adversarial GroupPanel Restored**: Added the adversarial GroupPanel card back to the monitoring drawer, which had been inadvertently removed.

#### Intent Override on Signal Fire

**Signal-Driven Intent**: When a signal fires on a prompt, intent is now overwritten with the L1 signal name (e.g., PII, Toxicity, Secrets) to prevent misleading intent labels. Exceptions preserve regular intent when the only signal is on the response, or is sentiment, language, or agentic instructions.

#### Monitoring Context Enhancement

**Status in Context**: The monitoring context panel now displays status information, giving users immediate visibility into the overall pass/fail state of each prompt without opening the full details drawer.

### Improvements

#### Signal Reporting

**Improved Drawer Reporting**: Users can now report on all signal types in the monitoring drawer prompt details, including intent, which was previously excluded.

### Bugs Fixed

* **Analytics dashboard blank across all environments**: Resolved data rendering failure after migration
* **Sentiment status chip incorrect**: Fixed status chip display for sentiment signals
* **Authorizer cache inconsistency**: Resolved intermittent authentication failures
  {% endupdate %}

{% update date="2026-01-21" %}

##

This release resolves critical production issues affecting prompt visibility, enforce mode functionality, and integration reliability. We've strengthened test automation infrastructure, improved monitoring accuracy for RAG-enabled workflows, and enhanced security with upgraded dependency versions. These updates ensure consistent data visibility across environments while advancing platform stability for production deployments.

### Critical Fixes

#### Prompt Visibility Resolution

**Missing Prompts Restored**: Resolved critical issue where prompts typed into the playground and collections processed through the cannon were not appearing in monitoring views. This affected data visibility across staging and impacted customer-facing demonstrations.

#### Enforce Mode Stability

**500 Error Resolution**: Fixed critical error in ENFORCE mode where string/dictionary type mismatch caused HTTP 500 failures. System now properly handles content analysis with forward\_to\_llm enabled, ensuring reliable enforcement of security policies.

### New Features

#### Performance Analytics

**RAG Timing Separation**: RAG and Prompt Analysis timing now tracked separately. This prevents long RAG processing times from skewing prompt analysis statistics, enabling accurate performance monitoring for both RAG-enabled and standard workflows.

**Dashboard RAG Metrics**: Added dedicated RAG timing outputs in dashboard statistics, providing visibility into retrieval-augmented generation performance impacts.

### Improvements

#### User Interface

**Light Mode Text Readability**: Fixed text rendering issues in light mode, ensuring consistent readability across all theme preferences.

**Documentation Links**: Updated help documentation links throughout monitoring interface and sidebar navigation for improved user guidance.

#### Security & Dependencies

**PII Model Updates**:

* Upgraded PII model version in test environment
* Validated PII detection on both CPU and GPU instances
* Maintained detection accuracy while improving performance

#### Integration & External Services

**Synqly Integration Stability**: Fixed NoneType iteration error in Synqly event posting, ensuring reliable security event forwarding to external SIEM platforms.

#### Monitoring & Analysis

**Session Filtering Enhancement**: Improved automatic session view toggling when filtering by use case, with repositioned controls and visual feedback for better user experience.

### Bugs Fixed

* **Prompt Visibility**: Resolved missing prompts in playground and cannon results
* **Enforce Mode**: Fixed HTTP 500 errors in ENFORCE mode with forward\_to\_llm
* **Synqly Integration**: Corrected NoneType iteration error in event posting
* **Light Mode**: Fixed text rendering and readability issues
* **Code Requested Signal**: Improved detection accuracy and reliability

### Infrastructure & Integration

#### Enforce Mode Reliability

Enhanced enforcement capabilities ensure:

* **Policy Application**: Reliable blocking/flagging of security violations
* **Error Handling**: Proper type checking prevents service disruptions
* **LLM Forwarding**: Stable operation with forward\_to\_llm enabled

#### Performance Observability

RAG timing separation provides:

* **Accurate Metrics**: True prompt processing performance visibility
* **Workflow Optimization**: Identify RAG vs. analysis bottlenecks
* **Capacity Planning**: Data-driven infrastructure scaling decisions
  {% endupdate %}

{% update date="2026-01-06" %}

##

This release delivers significant performance enhancements through GPU-accelerated PII detection, comprehensive session management improvements, and critical infrastructure optimizations. We've strengthened deployment pipelines with enhanced safety checks, improved monitoring capabilities with better session filtering, and resolved key issues affecting alert delivery and data persistence. These updates advance Aiceberg's enterprise readiness while optimizing operational costs.

### New Features

#### Enhanced Session Management

**Automatic Session Filtering for Use Cases**: When filtering to a specific use case in monitoring, the sessions view now automatically enables with visual feedback. The "only sessions" toggle has been repositioned beneath the Profile picker with a color pulse animation for clarity.

**Time-Based Sessions**: Re-added time-based session tracking, enabling organizations to analyze conversation patterns and user interaction timing across their AI systems.

**Sessions Monitoring Endpoint**: New dedicated endpoint provides comprehensive session data retrieval for advanced analytics and reporting.

#### Monitoring Experience

**Signal Detection Accuracy**: Fixed Code Requested signal detection, ensuring proper flagging of prompts requesting code generation or code-related assistance.

**Named Entities Resolution**: Resolved query failures affecting Named Entities detection after migration to prompt log dynamic table.

**Documentation Access**: Updated help documentation links in monitoring interface for improved user guidance.

#### Alert Management

**Conditional Alert Delivery**: System now verifies alerting is enabled before sending notifications, preventing unwanted alert spam and respecting user preferences.

### Bugs Fixed

* **Session Data**: Resolved EventSessionData saving failures
* **Named Entities**: Fixed query failures after database schema migration
* **Code Requested Signal**: Corrected detection logic for code-related prompts
* **Alert Delivery**: Fixed alerts sending when alerting is disabled
* **Synqly Integration**: Resolved NoneType errors in event posting

#### Session Intelligence

Comprehensive session management enables:

* **Use Case Isolation**: Automatic filtering shows only relevant conversation flows
* **Temporal Analysis**: Time-based session tracking reveals usage patterns

#### Alert Intelligence

Conditional alert delivery ensures:

* **Respect User Preferences**: Only send notifications when explicitly enabled
* **Reduced Noise**: Prevent alert fatigue from misconfigured systems
* **Operational Efficiency**: Teams receive relevant security alerts only
  {% endupdate %}

{% update date="2025-12-15" %}

##

This release focuses on strengthening enterprise infrastructure with enhanced session management capabilities, language detection features, and shadow AI analysis foundations. We've improved integration management, expanded developer tooling for safer deployments, and resolved critical bugs affecting monitoring and user experience. These updates prepare Aiceberg for expanded AI security monitoring across diverse deployment environments.

### API Changes

#### Sessions Monitoring Endpoint

New endpoint enables comprehensive session tracking and conversation context maintenance, supporting both real-time monitoring and retrospective analysis of multi-turn AI interactions.

### New Features

#### Language Detection Signal

Aiceberg now detects the language(s) used in prompts and responses, enabling organizations to identify potential data exfiltration risks when unexpected languages appear in AI interactions. This capability supports regulatory compliance and language-specific content policies.

Language detection data is available:

* **Profile Configuration**: Language-based policy enforcement settings
* **Monitoring Display**: Language shown in monitoring drawer prompt context
* **Signal Configuration**: Updated profile language signals for accurate detection

#### Shadow AI Analysis Infrastructure

Initial infrastructure for shadow AI analysis has been established, laying the groundwork for detecting unauthorized AI service usage across organizations. This foundation enables future SIEM integrations for comprehensive AI usage visibility.

### Improvements

#### Integration Management

**Revamped Integration Page**: Complete redesign of the integration interface improves usability for configuring third-party security tools and SIEM connections.

#### Documentation & Developer Experience

**Enhanced Documentation Links**: Updated links throughout monitoring empty states and sidebar to ensure users can quickly access relevant documentation:

* Monitoring page guidance
* API usage instructions
* Use cases, profiles, collections, models
* Tools: cannon, integrations, users, roles, API keys

**OpenAPI Specification Management**: Created shared GitHub action to automatically upload OpenAPI specs to S3 on test deployments, improving API documentation accuracy.

### Bugs Fixed

* **Incorrect Prompt Reporting**: Resolved issues preventing prompt reporting functionality across all environments
* **Synqly Integration**: Fixed NoneType error in Synqly event posting that caused integration failures
* **Session Tracking**: Resolved session data accuracy issues affecting conversation context

### Infrastructure & Integration

#### Session Management Foundation

Established robust session tracking capabilities that will enable:

* Conversation context maintenance across API versions
* Multi-turn interaction analysis
* Agent workflow monitoring in future releases
  {% endupdate %}

{% update date="2025-12-04" %}

##

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.

{% endupdate %}

{% update date="2025-10-29" %}

##

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.
{% endupdate %}

{% update date="2025-10-13" %}

##

This release introduces Use Cases for managing complex multi-profile agentic workflows, expanding Aiceberg's capabilities for securing sophisticated AI agent deployments. We've added the Discount Seeking intent signal for e-commerce security, resolved critical blocking issues with Code Requested signals, and enhanced the Monitoring interface with improved session visualization. These updates strengthen Aiceberg's position as the premier platform for monitoring and securing autonomous AI agents in production environments.

**API Changes**

**Use Case Support**: The event analysis API now accepts `use_case_id` parameters, enabling security monitoring for complex agentic workflows that span multiple profiles and interaction types. Use Cases support agent-to-agent, agent-to-LLM, and agent-to-tool interactions within unified security policies.

***

**New Features**

#### Use Cases for Agentic Workflows

Organizations deploying autonomous AI agents can now configure Use Cases that apply multiple security profiles across complex interaction flows:

**Multi-Profile Orchestration**: Define security policies for agentic systems where different profiles apply to:

* Agent-to-LLM communications (instruction generation, knowledge retrieval)
* Agent-to-tool interactions (API calls, database queries, external system access)
* Agent-to-agent collaboration (task delegation, information sharing)
* User-to-agent head messages

**Unified Monitoring**: Track security signals across all interaction types within a single Use Case, providing complete visibility into agentic workflow behavior and security posture.

This feature addresses the emerging market need for security visibility into autonomous agent systems where traditional single-profile monitoring is insufficient.

#### Discount Seeking Intent Detection

Added new intent signal specifically designed for e-commerce and customer service applications to detect when users are attempting to manipulate AI agents into providing unauthorized discounts or price reductions. This capability helps organizations:

* Protect revenue by identifying discount manipulation attempts
* Monitor for social engineering attacks targeting customer service agents
* Ensure AI agents follow pricing policies consistently

The signal is fully integrated into Profile configuration and displays in prompt details with probability scores.

#### SIEM Integration

Added integration point for SIEM providers, enabling organizations to forward Aiceberg security data to their existing data warehouses and analytics platforms for centralized security operations and compliance reporting.

***

**Improvements**

#### Monitoring & Visualization

**Session Indentation**: Session views now use visual row indentation instead of left-side blue lines, creating a more intuitive conversation thread visualization that makes multi-turn interactions easier to follow.

**Radar Chart Completeness**: Resolved issue where security signals were missing from the radar chart on the Dashboard, ensuring complete at-a-glance visibility into security posture.

**Collection Last Fired**: Added "last fired" timestamps to collection displays in Monitoring, making it easier to identify which test suites have been recently executed and need attention.

#### Signal Detection

**Code Requested Blocking**: Fixed critical issue where Code Requested signals weren't properly blocking interactions in Enforce mode, closing a security gap for organizations preventing code generation in sensitive contexts.

**Sentiment Trace Data**: Resolved issue where sentiment analysis was creating traces with empty text, which was cluttering trace views and affecting analysis accuracy.

**Intent Data Visibility**: Corrected missing intent data in trace views, restoring complete signal detection visibility for security analysis.

**Illegality Signal Display**: Removed redundant "illegality" pill from trace views that was showing "no refs" alongside specific subcategory indicators (e.g., cyber crimes). This eliminates confusion and maintains consistency with other signal categories that display only their specific subcategory flags.

**LLM Security Label**: Corrected signal labeling where "LLM Security" was appearing instead of the more specific "Instruction Override" designation. Trace views now consistently display the appropriate instruction override pills at the top level, improving clarity when analyzing adversarial attack attempts.

***

**Bugs Fixed**

* Resolved HTML rendering errors after profile deletion that were preventing proper page display
* Fixed slash/circle icon overuse throughout the UI, improving visual clarity
* Corrected checkbox rendering issues in Cannon page that were preventing proper run selection
* Fixed API key checkbox rendering problems in API Management
* Eliminated duplicate data queries for collection "last fired" dates, improving page load performance
* Resolved invalid input handling that was causing unclear error messages
* Fixed test environment issues affecting Cannon execution and prompt classification

***

**UI/UX Enhancements**

**Profile Action Icons**: Made each profile action icon visually distinguishable, reducing errors when users need to quickly access specific profile management functions.

**Profile Defaults**: Changed default profile settings on creation to better align with common enterprise security requirements, reducing initial configuration time.
{% endupdate %}

{% update date="2025-09-29" %}

##

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
  {% endupdate %}

{% update date="2025-09-15" %}

##

This release delivers substantial improvements to platform usability and data handling across Aiceberg. The Playground now operates on our new API infrastructure, and we've resolved critical issues with PII redaction and data display. These updates reflect our commitment to building enterprise-grade AI security infrastructure that scales with your organization.

**API Changes**

**Output-Only Mode**: The event analysis API now supports providing only an output for analysis scenarios where the prompt is not available, expanding flexibility for post-hoc security analysis and compliance scanning.

***

**New Features**

#### Enhanced Collections Management

**Drawer-Based Navigation**: Collection selection and management now uses a streamlined drawer interface, reducing context switching and improving workflow efficiency when organizing and running security tests.

**CSV Import Improvements**: The CSV status indicator now functions as a clickable button that navigates directly to the import history page, making it easier to review and troubleshoot data imports.

**Bulk Operations**: Bulk delete operations have been moved to the top right for consistency with enterprise application conventions, and CSV status displays only when import history exists.

#### Improved User Management

**Display Name Priority**: The platform now displays user first and last names (when available) instead of email addresses, creating a more professional experience for security teams and administrators.

**Alphabetized Listings**: User lists are now automatically sorted alphabetically for easier navigation in organizations with large security teams.

**Full-Screen Layout**: User management pages now utilize full-screen layout, providing more space for managing permissions and role assignments.

***

**Improvements**

#### Playground Modernization

**Profile Deletion Safeguards**: Users can no longer enter prompts in the Playground when viewing deleted profiles, preventing confusion and invalid test submissions.

#### PII Redaction & Privacy

**Listen Mode Redaction**: Resolved critical issue where private information wasn't being redacted in Listen mode when prompts weren't sent to the LLM, ensuring consistent data protection across all monitoring modes.

**Named Entity Display**: Fixed rendering issues where named entities were displaying on top of redacted content, maintaining proper privacy controls throughout the interface.

#### Monitoring Enhancements

**Session Visualization**: Session view now maintains proper tab highlighting when navigating between conversation threads, making it easier to track context across multi-turn interactions.

**Attack Vector Accuracy**: Resolved discrepancies between Overview charts and Monitoring views for attack vector flags, ensuring consistent security posture visibility.

**Cannon Integration**: Fixed issue where Cannon runs were missing prompt details, restoring complete visibility into batch security testing results.

#### Performance & Reliability

**Data Handling**: Improved handling of null-type probabilities in signal detection, preventing crashes when analyzing edge cases in model outputs.

**Lambda Deployment**: Added provisioned Lambda deployment option for CAM services, improving response times and reducing cold start latency for high-volume deployments.

***

**Bugs Fixed**

* Resolved issue where Overview charts weren't matching Monitoring data for attack vector flags
* Fixed missing highlight shading on Monitoring tabs that made it difficult to identify the current view
* Corrected prompt details left-justification alignment in test environment
* Eliminated issue where Collections list wasn't showing proper highlighting to match other list pages
* Fixed long email addresses overflowing or malforming text boxes in User Management modals
* Fixed retry logic for pending Cannon runs that was creating duplicate test executions

***

**UI/UX Refinements**

**Visual Consistency**:

* Standardized disabled field indicators across all forms
* Re-centered "no items found" messages throughout the platform
* Fixed tooltip alignment on Cannon run displays
* Adjusted settings menu width to prevent unnecessary horizontal space
  {% endupdate %}

{% update date="2025-08-19" %}

##

This release focuses on enhancing platform security detection capabilities, improving user experience with visual updates, and strengthening system reliability. We've addressed critical monitoring issues, enhanced our PII detection models, and implemented comprehensive testing improvements to ensure consistent platform performance.

**API Changes**

None

**New Features**

• **Enhanced PII Detection Model**: Updated PII model with improved version formatting and enhanced detection accuracy for better personally identifiable information classification.

• **Optimized Signal Processing**: Secrets detection now intelligently respects profile signal settings, improving performance by skipping unnecessary processing when signals are disabled.

**Platform Improvements**

• **Updated Brand Identity**: Refreshed platform logo across all interfaces for a more modern and consistent brand experience.

• **Improved Signal Classification**: Enhanced signal labeling accuracy with proper categorization of security-related signals for better threat identification.

**Bugs Fixed**

• **Resolved Monitor Sorting Issues**: Fixed an issue where sorting Monitoring data by sentiment would cause the interface to hang when using older profile configurations.

• **Fixed CSV Upload Functionality**: Resolved file upload issues that were preventing users from successfully importing CSV data into collections.

• **Corrected Signal Header Display**: Fixed missing illegality information in Prompt Signals headers and removed inconsistent labels for accurate threat categorization.

**System Reliability Enhancements**

Enhanced testing coverage across critical platform components including user management, overview dashboards, and Collections functionality to ensure consistent performance and stability.
{% endupdate %}

{% update date="2025-08-12" %}

##

This release delivers significant enhancements to user experience, monitoring capabilities, and platform reliability. We've introduced new visualization features, streamlined user workflows, strengthened testing infrastructure, and resolved critical production issues to ensure better performance and accuracy across all platform components.

**API Changes**

None

**User Experience Improvements**

**Navigation & Interface**

* Eliminated sidebar menu item flickering during page load for smoother user experience
* Fixed sidebar menu highlighting to accurately reflect current page location
* Added day-level granularity to query count charts for improved trend analysis
* Resolved chart key overlap issues that were covering data labels
* Improved tooltip positioning for attack vector charts in overview dashboard

**Monitoring & Analysis**

* Enhanced signal distribution chart functionality with proper zero-value handling
* Enabled settings access in full-screen chart mode
* Added internal on/off toggle for sentiment analysis in profile configuration
* Improved Collections dropdown to display more than 50 options during prompt cannon operations

**Component Architecture**

* Redesigned Combobox component to match Select component behavior for consistent user interaction
* Optimized inventory page layout to properly utilize screen space when sidebar switches to top navigation
* Removed duplicate settings icons from monitoring menu
* Implemented intelligent model execution - signals that are disabled no longer trigger unnecessary processing

**Bugs Fixed**

* Resolved incorrect subcategory counting issues affecting code requested, adversarial, and illegality signal categories
* Corrected flagged prompts count display discrepancies in cannon run views
* Addressed signal distribution chart issues where jailbreaking categories would duplicate when toggling zero-value display
* Resolved testing inconsistencies between environments for neutral sentiment classification
  {% endupdate %}

{% update date="2025-07-29" %}

##

This release delivers substantial improvements across our platform focused on enhanced user experience, system reliability, and backend infrastructure. We've addressed critical production issues, introduced new features for better workflow management, and strengthened our testing and monitoring capabilities.

**API Changes**

* **Not breaking** - this beta API provides a streamlined interface for real-time AI content analysis and risk detection. This single-endpoint API allows you to submit prompts and receive comprehensive analysis results in one call, making it ideal for integration and testing. See [documentation](https://44100605.hs-sites.com/documentation/how-do-i-use-the-new-beta-api?hsLang=en-us) for more information.

**New Features**

* Signal classifier (MTVS) v3.28
* Intent classifier v1.28
* Enhanced prompt details with event type and subtype information for comprehensive agentic interaction analysis

**Improvements**

* Improved date picker functionality in monitoring filters - resolved loading issues when clearing date selections
* Enhanced CSV upload process with better status tracking and user feedback
* Streamlined profile overview navigation (temporarily disabled as landing page)
* Improved collection selector functionality to display all available collections without pagination limits
* Streamlined inventory navigation with removal of unused dataset pages from sidebar
* Decreased timeout settings from one minute to 10 seconds
* Better error handling and tracking for collection processing workflows
* Strengthened CSV ingestion process with improved record creation timing
* Enhanced failure tracking and reporting for collection analysis runs

**Bug Fixes**

* Fixed historical prompt flagging data display in Cannon runs
* Resolved missing creator and flagged prompt information in Cannon interface
* Fixed profile search functionality in configuration interface
* Resolved CSV upload silent failure issues with improved error reporting and status tracking
* Streamlined backend processes for faster response times
  {% endupdate %}

{% update date="2025-07-15" %}

##

This release delivers substantial improvements across our platform focused on enhanced user experience, system reliability, and backend infrastructure. We've addressed critical production issues, introduced new features for better workflow management, and strengthened our testing and monitoring capabilities.

**API Changes**

* **Not breaking** - this beta API provides a streamlined interface for real-time AI content analysis and risk detection. This single-endpoint API allows you to submit prompts and receive comprehensive analysis results in one call, making it ideal for integration and testing. See [documentation](https://44100605.hs-sites.com/documentation/how-do-i-use-the-new-beta-api?hsLang=en-us) for more information.

**New Features**

* Signal classifier (MTVS) v3.28
* Intent classifier v1.28
* Enhanced prompt details with event type and subtype information for comprehensive agentic interaction analysis

**Improvements**

* Improved date picker functionality in monitoring filters - resolved loading issues when clearing date selections
* Enhanced CSV upload process with better status tracking and user feedback
* Streamlined profile overview navigation (temporarily disabled as landing page)
* Improved collection selector functionality to display all available collections without pagination limits
* Streamlined inventory navigation with removal of unused dataset pages from sidebar
* Decreased timeout settings from one minute to 10 seconds
* Better error handling and tracking for collection processing workflows
* Strengthened CSV ingestion process with improved record creation timing
* Enhanced failure tracking and reporting for collection analysis runs

**Bug Fixes**

* Fixed historical prompt flagging data display in Cannon runs
* Resolved missing creator and flagged prompt information in Cannon interface
* Fixed profile search functionality in configuration interface
* Resolved CSV upload silent failure issues with improved error reporting and status tracking
* Streamlined backend processes for faster response times
  {% endupdate %}

{% update date="2025-07-08" %}

##

This release focuses on enhancing platform performance, improving user experience, and strengthening monitoring capabilities. 

#### API Changes

* None

#### New Features

* **Event Type Display** - Event types are now visible in monitoring views with improved iconography (available in prompt details in the next release)

#### Improvements

* Enhanced CSV ingestion with immediate record creation, eliminating timing gaps

#### Bugs Fixed

* Fixed periodic inability to delete cannon runs in production environment
* Removed duplicate sentiment display from chunk trace results for cleaner interface
* Resolved issue where new collections weren't automatically selected after creation
* Resolved missing named entities in prompt details

***

This release significantly improves platform scalability and user experience while establishing better monitoring and tracking capabilities for enhanced AI governance.
{% endupdate %}

{% update date="2025-07-01" %}

##

This release delivers significant improvements to platform stability, user experience, and backend infrastructure. We've resolved critical issues affecting the dashboard, Trace functionality, and data processing. This sprint focused heavily on production stability and user interface refinements.

#### API Changes

* None

#### New Features

* **Signal Classifier** (MTVS) v3.26
* **Enhanced Trace Interface** - Improved scrolling chunk view and Prompt vs Response are now separated

#### Improvements

* **User Experience Enhancements**:
  * New Collections and Profiles now consistently appear at the top of lists
  * Profile form now warns users to save changes before navigating away
  * Collection selection automatically updated when creating new Collections

#### Bugs Fixed

* Fixed log filters not displaying properly on larger screens
* Resolved attack vectors missing from Overview dashboard
* Fixed signal distribution graph not showing Security category
* Corrected edge case for prompt blocking functionality when Profile is set to block
* Fixed Secrets not saving properly in Profiles interface
* Eliminated repeated signals under the same chunk in Trace function
* Resolved image upload failures to Collections API
* Fixed inconsistent sorting behavior in Cannon and Collection lists
* Improved overall interface responsiveness and reliability
* Profiles now sorted alphabetically 
* Cannon run lists sorted by date

This release significantly enhances platform reliability and user experience while establishing a stronger foundation for future AI governance capabilities and agentic workflows.
{% endupdate %}

{% update date="2025-06-25" %}

##

This release delivers substantial improvements across our platform focused on enhanced user experience, system reliability, and backend infrastructure. We've addressed critical production issues, introduced new features for better workflow management, and strengthened our testing and monitoring capabilities.

#### **API Changes**

* Added override capability for event\_type in API calls to orchestrator (future feature)

#### **New Features**

* **MTVS Model (beta)** - v1.xx

#### **Improvements**

* **Signal Organization** - Refined categorization and removed redundant code illegality signals
* **Trace Interface** - Auto-scaling text boxes and updated pills/intent display

#### **Bugs Fixed**

* Fixed decode errors occurring during prompt collection CSV uploads
* Corrected missing named entities in overview dashboard
* Restored profile search capabilities in Profile configuration interface
* Fixed PII/PHI/PCI card to show results from all chunks properly
* Resolved Named Entity Recognition showing "not\_run" status despite generating probabilities

This release significantly improves platform stability and user experience while laying the groundwork for enhanced AI governance capabilities.
{% endupdate %}

{% update date="2025-06-17" %}

##

This release includes significant backend stability improvements and user experience enhancements. We've resolved 22 issues focused on system reliability, signal accuracy, and platform functionality. Our focus has been on improving data processing capabilities, fixing critical user workflow issues, and enhancing the overall platform performance.

#### API Changes

* None

#### New Features

* **Intent Model (beta) -** v1.24
* **Model Overview Page Redesign** - Completely refreshed interface for better model management and visibility
* **Enhanced Inventory Sorting** - Inventory lists now display in alphabetical order for easier navigation
* **Improved Signal Organization** - Streamlined signal categories with Direct Command Injection now categorized under Adversarial signals

#### Improvements

* **Enhanced Profile Management** - Improved handling of profile settings and configurations
* **Better Error Messaging** - More informative error handling when models aren't properly configured in Enforce mode
* **Signal Accuracy Improvements** - Fixed intent model processing for more accurate classifications
* **Cannon Interface Updates** - Changed "Signals" column to "Flagged" for clearer terminology

#### Bugs Fixed

* Fixed issue where users couldn't delete prompt cannon runs from the interface
* Resolved problem preventing cannon runs from being triggered from collection pages
* Fixed functionality that prevented users from deleting prompts from collections
* Corrected issue where illegality sub-categories didn't match their parent categories in new profiles
* Fixed sentiment setting synchronization between profile edit view and profile overview
* Resolved API authorization errors when unexpected API keys were used
* Fixed prompt classification issues with longer text inputs
* Corrected signal categorization conflicts that were causing incorrect security classifications
* Fixed collection processing failures that prevented proper execution
* Improved text processing to handle semantic chunking without content truncation
* Enhanced system stability for prompt cannon operations
* Fixed dashboard metric calculations for more accurate pass rate and delta reporting
* Resolved issues with profile configuration validation in Enforce mode
* Improved error handling for prompt cannon workflow failures
* Fixed signal filtering and combination logic for more accurate threat detection
  {% endupdate %}

{% update date="2025-06-06" %}

##

This release includes significant improvements to both our frontend dashboard and backend infrastructure. We've resolved 24 critical bugs and delivered 3 new features. Our focus has been on improving user experience, system stability, and platform scalability.

### API changes

* None

### New features

* Intent classifier 0.9 (Beta)
* Users can now easily copy profile IDs directly from the Inventory page for improved workflow efficiency
* Revised filtering and settings menus in Monitoring

When users tap the settings icon on the Monitoring page, it will now open a drawer on the right instead of the previous modal. Within the drawer, users are able to toggle between settings and filters with the two icons at the top right.

### Fixed bugs

* Fixed an issue where longer prompts were not classified correctly. 
* Resolved an issue where a backend version conflicts were leading to incorrect Jailbreaking signals.
* Fixed hover content that was stretching across the screen in one long line on Models page info icons.
* Fixed issue where users couldn't delete cannon runs.\
  Resolved filtering functionality issues in the Inventory page.
* Fixed layout issue where the "Add New" button was partially hidden on the Profiles page.
* Fixed interaction issue with safety signal expansion chevrons in certain scenarios.
* Corrected spelling error on the Profiles page interface.
* Fixed missing upload confirmation messages when uploading CSV files to collections
* Resolved issue where intent functionality was not working properly in new profiles
* Fixed missing attack vector information in profile overview pages
* Corrected mislabeled signal distribution charts and labels 
* Fixed attack vector charts that were not displaying data properly
* Resolved issue preventing users from changing sentiment settings in profiles 
* Fixed functionality that was preventing users from creating new profiles
* Corrected inaccurate blocked count statistics displayed on the overview dashboard
* Removed unnecessary redirect behavior from the blocklist profile page to improve navigation flow
* Fixed issue where signal information was incorrectly displayed when users entered invalid profile IDs in the URL
* Resolved browser hang state that occurred when users entered invalid collection IDs in the URL
* Fixed issue where deleting collections could occasionally cause browser stability problems
* Corrected spelling error in system component names throughout the interface
* Added proper messaging when no collections are available instead of showing empty state
* Improved clarity by displaying full "instruction override" text instead of abbreviations throughout the interface
* Improved CSV processing to automatically ignore empty lines during data analysis
  {% endupdate %}
  {% endupdates %}


---

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

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