Connect DeepKeep integrations
Shield your generative AI deployments by automating DeepKeep with Make. Connecting this security platform to our workflow automation tool lets you instantly inspect prompts for compliance, monitor model vulnerabilities, and trigger real-time guardrails across your systems. Sign up for free today to build your first automated threat mitigation pipeline.
DeepKeep
This app is supported and maintained by the official vendor DeepKeep.
Triggers and actions
Developed, supported and maintained by community users.
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DeepKeep
Popular DeepKeep workflows
Connect DeepKeep with Make to automate your workflows, sync critical data, and simplify your processes.
AI Customer Support Gateway with DeepKeep Firewall
This template adds DeepKeep's AI Firewall as a security wrapper around your customer support chatbot. Incoming messages are scanned for prompt injection attacks and policy violations before reaching the LLM. The AI response is then scanned again before delivery. Clean responses are returned automatically via webhook; flagged responses create a Zendesk ticket for human review. Use case: Any customer-facing AI support bot that handles sensitive queries. Modules: Webhook → DeepKeep Create Conversation → DeepKeep Check Input → OpenAI → DeepKeep Check Input → Router (Webhook Response | Zendesk Create Ticket)
Automate AI Security and Threat Protection with DeepKeep and Make
Integrate DeepKeep with Make to automatically run AI security screening, block real-time threat injections, and instantly route violations to your team without writing custom code.
Automated AI security screening
Make lets you automatically run customer queries through DeepKeep's AI Firewall before they reach your AI models, blocking prompt injection attacks in real time.
Code-free safety guardrails
You can easily add enterprise-grade security to your customer support chatbots without writing any custom code to connect your LLMs and security tools.
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Instant incident escalation
When DeepKeep flags a security violation, Make can instantly route the conversation to ticketing tools like Zendesk for immediate human review.
Two-way threat verification
Make allows you to easily scan both incoming prompts and outgoing AI responses in a single workflow, keeping your users and your systems fully protected.
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What is a scenario?
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
What is a module?
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
What is mapping?
Mapping links the modules in your scenario. When you map an item, you connect the data retrieved by one module to another module to perform the desired action. For example, you can map email addresses and subject lines to create a spreadsheet using this data.