Google Vertex AI model scanning — You can now scan and track Google Vertex AI models as part of your AI resource inventory, expanding cloud AI discovery to cover Vertex AI deployments.
Anthropic integration for cloud scanning — You can now connect your Anthropic account to monitor and scan Anthropic API usage across your cloud infrastructure.
Improved handling of Google Vertex AI permission errors — Google Vertex AI integrations now automatically disable and notify you when required permissions are missing, instead of retrying indefinitely without explanation.
Duplicate software entries prevented — AI software discovery no longer creates duplicate entries when scans run multiple times, ensuring your inventory stays clean and accurate.
AI Discovery (Workforce)
Anthropic Claude Code workforce user discovery — You can now discover and track Anthropic Claude Code users across your workforce through a new Anthropic integration.
Discovered Topics for AI workforce activity — A new Discovered Topics tab shows you topics automatically identified from your workforce's AI usage, helping you understand what subjects employees are discussing with AI tools.
Expanded AI application detection — Microsoft 365 and Google Workspace scanners now detect additional AI platforms including DeepL, Ideogram, and Poe.
Microsoft 365 authentication fix — Fixed an issue where the Microsoft 365 OAuth sign-in popup could fail due to browser security policies, ensuring reliable connection setup.
Google Workspace credential handling — Google Workspace integrations now automatically disable and notify you when OAuth credentials expire, instead of failing silently or crashing.
AI Logging (Cloud)
Azure OpenAI log collection — You can now collect and monitor chat completion logs from your Azure OpenAI deployments, giving you visibility into AI usage across your Azure infrastructure.
Amazon Bedrock response capture — The endpoint agent now fully captures and decodes Amazon Bedrock AI responses across all supported formats, enabling policy enforcement and logging for Bedrock-based AI usage.
Token usage estimation for all logs — When an AI provider does not report token counts, FireTail now automatically estimates them, ensuring you always have reliable token usage metrics across all AI logs.
Improved log processing performance — AI log processing is now significantly faster thanks to optimized parsing and pre-loaded models, resulting in quicker availability of log data.
AI Logging (Workforce)
Guardrail evaluation details in logs — Workforce logs now include detailed information about which guardrails were evaluated, whether they blocked requests, and what interventions were triggered.
Opera browser support — The browser extension now supports Opera, expanding workforce AI monitoring to users of this browser.
Mistral AI monitoring — You can now monitor Mistral AI chat streaming activity through the browser extension.
Cohere and Perplexity AI support — The endpoint agent now captures and monitors responses from Cohere and Perplexity AI services.
AI response capture for streaming services — The endpoint agent now captures AI responses from streaming connections for ChatGPT, Claude, Gemini, OpenAI, and Microsoft Copilot, enabling complete logging of AI interactions.
Improved markdown rendering in log views — AI log messages and employee log messages now render in markdown format, making conversations and responses easier to read.
WebSocket-based ChatGPT monitoring fixed — Fixed response capture for WebSocket connections, resolving issues with monitoring ChatGPT activity.
Reduced duplicate logging — Fixed issues where repeated visits to the same AI service or file upload actions generated redundant log entries, reducing noise in your log data.
AI Governance
Topic guardrail management — You can now create, edit, and manage topic-based guardrails for AI Workforce Policies, giving you fine-grained control over which topics are allowed or blocked in AI interactions.
Local guardrail evaluation with multilingual support — The endpoint agent now evaluates guardrails locally for faster enforcement, with multilingual support including non-English prompts that automatically fall back to remote evaluation.
Dedicated guardrail block page — When a guardrail blocks an AI interaction, users now see a clear block page in their browser explaining which guardrail was triggered, with deduplication to prevent repeated notifications.
Improved guardrail reliability — Guardrails that are unavailable or still being prepared no longer cause request failures. They are gracefully skipped and reported separately, ensuring policy enforcement remains reliable.
Asynchronous guardrail topic processing — Guardrail topics are now automatically processed in the background to generate example prompts and embeddings, enabling more accurate content enforcement without manual setup.
Real-time policy updates via WebSocket — The endpoint agent now receives policy and rule updates in real time, so changes you make to governance policies take effect immediately without waiting for scheduled refreshes.
Topics management — A new Topics page lets you view and manage custom, system, and suggested topic guardrails for controlling AI workforce interactions.
International character support — Names, descriptions, and input fields across the platform now support accented Latin characters, Japanese scripts, and other Unicode characters.
High-volume policy notifications — Resource policies that match large numbers of items now correctly count and report all matches in notifications, respecting your configured notification thresholds.
Configurable Microsoft Teams bypass — The endpoint agent now includes a configurable proxy bypass for Microsoft Teams and Microsoft 365 domains, enabled by default, to prevent the agent from interfering with these tools.
Reduced CAPTCHA triggers — The endpoint agent now uses techniques to reduce CAPTCHA and bot detection triggers during normal browsing while AI monitoring is active.
Posture Management
AI Risk Dashboard — A new AI Risk Dashboard provides a consolidated view of AI-related risks across your organization.
General Improvements
Simplified navigation for single-product organizations — Organizations using a single FireTail product now see a streamlined navigation with simplified tabbed pages for employee, inventory, policy management, and settings.
Reorganized navigation structure — AI-related routes have been moved up one level in the navigation for easier access, and Model Scanning and Alerting are now found under Workload paths.
Workforce Usage and Risk dashboards — Workforce dashboards have been reorganized into separate Usage and Risk views, reducing redundancy and making it easier to find the information you need.
Organization milestones — A new progress indicator in the navigation bar shows your organization's setup completion status, helping you track onboarding steps.
Dashboard navigation redesign — Dashboard navigation now uses a carousel with clickable indicators instead of dropdown menus.
Simplified agent setup — The endpoint agent and browser extension now automatically detect your environment from the project token, eliminating the need to manually configure region and platform settings.
SHA256 checksums for endpoint agent — SHA256 checksum files are now published alongside all endpoint agent installers, allowing you to verify the integrity of downloaded binaries.
Improved empty states — Resource listings across the platform now display informative guidance messages when empty, tailored to your permissions.
Browser extension reliability improvements — Configuration and policy updates in the browser extension now persist across browser restarts and service worker terminations, ensuring continuous protection.
Self-serve organization creation removed — You can no longer create organizations directly from the UI. To create a new organization, contact support.
Improved service reliability — Fixed several minor bugs and stability improvements across the platform, including better error handling, retry logic, and connection management.
