Hero AI
Hero AI is Swimlane’s collection of artificial intelligence features that help orchestrators and analysts in their day-to-day usage of Turbine. The features of Hero AI largely take advantage of the Swimlane private large language model (LLM).
The Swimlane LLM is a proprietary LLM hosted by Swimlane and tuned to our users’ needs. The Swimlane LLM is hosted in Swimlane cloud and offers a level of security and privacy not available with public models. Your data never leaves the Swimlane cloud. It is not sent to a third party, it is not stored in shared log files, and it is not used to train or fine tune our model.
To enable Hero AI in your environment, contact Swimlane support.
Artificial Intelligence Data Privacy and Security
Swimlane does not collect or store any sensitive customer data in centralized storage locations. Only metadata about model usage and performance is retained centrally. Customer data processed by AI or machine learning (ML) models is exclusively stored in the customer’s own dedicated database instance which is logically separated from other customer instances. All prompts and features involving customer data are processed using a private Swimlane LLM. Swimlane does not use customer data to train or fine-tune the Swimlane LLM. Customers must “opt-in” to use Hero AI in their instance of Turbine. Individual risk assessments are conducted on all AI/LLM projects before deployment.
Multi-model Error Handling and Fallback Logic
- Hero AI within Turbine may fall back to use a different model in certain circumstances, such as hitting a rate limit, temporary connectivity issues or temporary high load.
- Hero AI uses three Anthropic Claude models, configured as primary, secondary and tiertiary. The system is designed gracefully to handle model-specific errors with the following logic:
Priority | Model ID | Description |
|---|---|---|
Primary | Claude Sonnet 4.5 v1.0 | Preferred for optimal response quality |
Secondary | Claude Sonnet 4 v1.0 | Backup model for reliability |
Tiertiary | Claude Sonnet 3.5 v2.0 | fallback model for degraded mode. |
Error Handling and Fallback Logic
The system is designed to handle model-specific errors gracefully.
Exception Type | Handling Strategy | Next Step |
|---|---|---|
Timeout | Retry with the same model | Retry up to maxAttempts = 3 |
Rate limit / Token exceed | Switch to next available model ARN | Retry with fallback model (if available) |
Other exceptions | Log and return the error | No retry |
Hero AI Features
Hero AI includes a number of features meant to help analysts and orchestrators get the most out of Turbine and better secure your companies' infrastructure. Hero AI features include:
- Clear summarization and recommended actions in the Case and Incident Management applicationClear summarization and recommended actions in the Case and Incident Management application
- Crafted AI Prompts - Templates for easy integration of Hero AI into daily workflowsCrafted AI Prompts - Templates for easy integration of Hero AI into daily workflows