Monte Copilot & AI privacy and controls

Frequently asked questions around privacy and security controls for Monte Copilot and AI used within the Anvilogic platform.

chevron-rightIs any customer data used to train the AI models in either AI Insights or Copilot?hashtag

Anvilogic agrees that it shall not use, process, or allow access to sensitive or raw Customer Data for the purpose of training, developing, or refining artificial intelligence (AI) models, or any other automated decision-making technologies.

chevron-rightIs any of the data in the conversations with Monte Copilot being used for model training?hashtag

No. Any data sent to Monte Copilot is not used to train the models. Customer feedback when using Monte Copilot in the form of a thumbs up/down will be used to tune the responses using prompt engineering.

chevron-rightDoes Monte Copilot use a public or private model?hashtag

Monte Copilot uses OpenAI-hosted models.

chevron-rightIs PII, PHI and/or PCI data going to be used by Monte Copilot?hashtag

Though Monte Copilot may capture the PII data that was submitted by the users during a conversation, this PII data is removed and not processed via LLM Models.

chevron-rightDo customers have the option to opt out of Monte Copilot?hashtag

Yes, all generative AI capabilities are part of add-ons. A customer has to purchase these add-ons to use the capabilities.

chevron-rightDo you inventory all your AI models, and do you regularly reassess them for risk and compliance?hashtag

Weekly and Monthly output reviews are conducted on models. Models are stored in either UDFs or Sagemaker endpoints. Risks are identified during output reviews and remediated.

chevron-rightDo you prevent and/or identify and mitigate false positives, data loss prevention and unintended consequences of the AI's outputs?hashtag

We use regular expressions to mitigate clearly false positives, if there is a problem with the model, we generate a new model that addresses the perceived shortcomings.

chevron-rightDo you provide training and support to your employees who are using generative AI?hashtag

Due to the continuous evolution of AI, the team's training is a hands-on approach through weekly meetings to discuss our research and implementation of generative AI-based technologies. In these discussions, we cover the latest information about best practices and knowledge sharing regarding technology and software libraries related to generative AI.

chevron-rightWhat customer data, if any, does the solution require for training and/or maintenance?hashtag

None.

chevron-rightDoes the Monte Copilot solution leverage protected attributes such as gender, race, age, disability, spoken language, mental health, or marital status, and proxy features of protected attributes, such as ZIP code?hashtag

No.

chevron-rightAre there roles to control which users can use Monte Copilot?hashtag

Not yet, but RBAC around what team members can use Monte Copilot will be implemented before our generally available (GA) release.

chevron-rightWhere does the data from questions and answers get stored? For how long are Q&A stored? Can Q&A be deleted?hashtag

Questions and answers are stored within an Anvilogic owned database hosted on Anvilogic's AWS instance.

By default, Q&A are stored for 30 days and then rolled off, unless feedback (thumbs down or thumbs up) were provided.

This data can be deleted by an Anvilogic engineer with access if required.

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