DeepKeep

deepkeep is an ai security platform that protects machine learning models against adversarial attacks and vulnerabilities integrating it with make com enables automated monitoring and response workflows, enhancing ai model security and operational efficiency for users limited documentation we currently can't provide complete documentation for deepkeep because there isn't enough publicly available information about this app our ai powered documentation system relies on comprehensive data from deepkeep and public sources to create detailed guides deepkeep modules y ou can choose from a list of available modules to build your check input this module lets you check if a specific condition is met before moving forward with your scenario it helps you control the flow by only continuing when your set criteria are true create conversation start a new conversation that includes both your prompts and the responses, all organized together in one conversation thread make api call allows you to make a custom api request to the service using your own parameters and authorization templates you can look for more templates in make's template gallery https //www make com/en/templates , where you'll find thousands of pre created deepkeep resources you can have access to more resources related to this app on the following links visit deepkeep website https //www deepkeep aiaccess deepkeep help documentation n/aview deepkeep api documentation https //pypi org/project/deepkeep/visit deepkeep page on make https //www make com/en/integrations/deepkeep ai firewall help us improve this documentation have experience with deepkeep? we'd love to hear from you if you have insights, use cases, or technical details that could help other users, please consider using the feedback widget at the bottom of the page sharing your knowledge in the make community https //community make com your feedback helps us create better documentation for everyone