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Last Updated: March 16, 2026 Honeycomb provides this notice to inform our approach to developing artificial intelligence (AI) features for our service and to provide more information about Honeycomb Intelligence, a suite of AI features made available through the service. Currently, Honeycomb Intelligence includes Canvas, Hosted Model Context Protocol Service, Query Assistant, and other features with more to come. We have also included some frequently asked questions about our use of AI at the bottom of this notice.

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Our AI Principles

It is our goal to continually improve our services and customer experience, and we believe AI can help improve the value and quality of experience we provide. As we develop and deploy AI-based features, we are committed to the following principles:
  1. Use AI Where it Makes Sense AI features should be developed to enhance our products and services in places where AI can uniquely benefit those products and services.
  2. Transparency AI features should be well-scoped to their purpose and not claim capabilities that are impossible or unreasonable to perform. Limitations of AI features should be disclosed. It should be clear when a user is interacting with or using AI features and how that AI is being used.
  3. Fairness and Inclusivity AI features should avoid bias and discrimination. AI features should be useful and accessible to all.
  4. Reliability and Safety AI features should be designed to function in a reliable and safe manner. We are committed to monitoring and addressing unreliable behaviors when they arise, including potentially removing a feature if it is deemed too problematic.
  5. Privacy and Security Through our development of AI features, we remain committed to respecting our customers’ privacy and to enable our customers to do the same. We design our AI features to meet the same privacy and security standards as our other product functionality.
  6. Accountability AI features should be monitored on an ongoing basis to ensure goals are met. Issues presented by AI features should be tracked and remediated.

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Honeycomb Intelligence Features

FeatureDescriptionModel ProvidersData Interaction
Honeycomb CanvasAI-guided workspace inside Honeycomb that combines an AI assistant with an interactive notebook for visualizing query results and traces.OpenAI, AWS BedrockUses user-provided text, dataset/environment schema information, and sample telemetry values to create/read/update Honeycomb queries and any entity within Honeycomb.
Honeycomb MCPInterface for your Honeycomb telemetry in any client application that connects to the Honeycomb MCP.Client-dependent/user-controlled model providerUses user-provided text, dataset/environment schema information, and sample telemetry values to create/read/update Honeycomb queries and any entity within Honeycomb.
Query AssistantTextual interface that helps users create runnable Honeycomb queries.OpenAI, AWS BedrockUses user input, dataset/environment schema information, and sample telemetry values to produce runnable Honeycomb queries.
AI Assisted Calculated FieldsText-to-expression UI that helps users create valid Calculated Field expressions.OpenAI, AWS BedrockUses user input, dataset/environment schema information, and sample telemetry values to produce valid Calculated Fields.

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FAQs

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Is the use of Honeycomb Intelligence optional?

Yes. Honeycomb Intelligence can be toggled on or off at the Team level by Team Owners.

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Are any AI features activated even if I have Honeycomb Intelligence disabled?

No. While there may be AI features that activate “passively” so as to surface insights proactively, these are governed by the Team-level AI settings.

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Are there limits on use of Honeycomb Intelligence?

Not at the moment. We may place limits in the future for some Honeycomb Intelligence features to mitigate costs or misuse and abuse. These limits may change over time.

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Are Honeycomb Intelligence features using Generative AI exclusively?

No. Honeycomb also uses AI for features such as anomaly detection or statistical (deterministic) models to power some features.

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Will the data I input to Honeycomb Intelligence be used to train machine learning models?

Honeycomb does not use any AI model providers that train foundation models based on input. We may fine-tune pre-trained models to provide a better product offering. Other machine learning systems may require training a different kind of machine learning model on a per-Team basis, or performing a “fit” operation for a statistical model.

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Are any Honeycomb Intelligence features able to process protected health information or other sensitive data?

Yes. Teams with a Business Associate Agreement (BAA) are eligible for Honeycomb Intelligence. Please contact your Account Manager for more information. Please review our Supplemental Terms for more information.

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Are all Honeycomb Intelligence model providers processing personal data as a subprocessor?

In some cases, we use “offline” models, where the underlying model provider does not process or otherwise have access to any input data. In other scenarios, we may use “online” models, in which case the AI model provider may serve as a subprocessor. Where an AI model provider used by Honeycomb may receive personal data on a subprocessor basis, Honeycomb will add any such provider to its subprocessor list.

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What offline models are you using?

Currently the offline models we use are self hosted within our cloud service provider AWS, through AWS Bedrock, such that the underlying AI model provider does not have access to the data.

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Does Honeycomb Intelligence use multiple models at the same time?

Yes. We regularly test newly-released models from our model providers to test their efficacy. A given feature of Honeycomb Intelligence may call multiple different models in the course of producing a response depending on the task, sometimes from different model providers.

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Does Honeycomb Intelligence support multi-modality (image, audio) inputs and outputs?

We do not currently support multi-modality (image, audio) inputs and outputs, but we may do so in the future.

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How do I turn on/off Honeycomb Intelligence?

Honeycomb Intelligence can be enabled or disabled in Team Settings by a Team Owner.