Integrations

Supercharge Control D with Relevance AI

Control D is a powerful tool for automated DNS management and content filtering, allowing users to programmatically manage DNS profiles and devices. By integrating with Relevance AI, you can enhance these capabilities with AI-driven insights and automation, ensuring a more dynamic and effective management experience.

Give your AI Agents Control D Superpowers

Control D automates DNS management and content filtering through a robust API. With Relevance AI, you can leverage intelligent AI Agents to optimize and streamline these processes, making your workflows more efficient and responsive.

Intelligent Security Orchestration

The AI agent autonomously coordinates DNS filtering policies and threat responses across distributed networks in real-time.

Predictive Threat Neutralization

Leveraging threat intelligence data, the agent proactively identifies and blocks emerging security threats before they impact systems.

Adaptive Response Acceleration

Real-time monitoring and automated response protocols allow the agent to react instantly to security incidents and policy violations.

Tools

Equip AI Agents with the Control D Tools they need

Relevance AI seamlessly integrates with Control D to enhance your automated DNS management workflows.

Control D - Create Profile
Creates a new profile in Control D DNS service to manage content filtering and security settings for network devices
Control D - Create Device
Registers a new device in the Control D system and associates it with a specific profile for DNS-based content filtering and security
Control D - Create Device
Registers a new device in the Control D system and associates it with a specific profile for DNS-based content filtering and security
Control D - Delete Device
Removes a registered device from the Control D system, terminating its associated DNS filtering and security settings
Name
Control D API Call
Description
Make an authorized request to a Control D API
Parameters
["OAuth authentication", "Multiple HTTP methods (GET, POST, PUT, DELETE, PATCH)", "Custom headers support", "Request body configuration", "Response handling with status codes"]
Use Case
A cybersecurity team uses Control D API calls to programmatically manage DNS filtering rules across their organization, automatically blocking malicious domains and updating security policies in real-time based on threat intelligence feeds.

Security & Reliability

The Control D and Relevance AI integration streamlines automated DNS management and content filtering through a robust API interface. This integration allows you to programmatically create and manage DNS profiles, devices, and filtering rules while leveraging Relevance AI's workflow automation capabilities.

With secure OAuth-based authentication, you can ensure that only authorized workflows access your Control D data. Relevance AI handles API operations (like creating DNS profiles, configuring devices, and managing filtering rules) in the background—so you don’t have to worry about errors, formatting, or limits.

Built-in validation and type conversion ensure your workflows run smoothly, even when data formats vary. This integration not only simplifies DNS management but also enhances your content filtering deployment, making it more efficient and secure.

No training on your data

Your data remains private and is never utilized for model training purposes.

Security first

We never store anything we don’t need to. The inputs or outputs of your tools are never stored.

Get Started

Best Practices for Non-Technical Users

To get the most out of the Control D + Relevance AI integration without writing code:
  • Start with a clear DNS profile: Use unique and descriptive names for your profiles to avoid confusion.
  • Utilize the API documentation: Familiarize yourself with Control D's API documentation for efficient profile and device management.
  • Connect securely: Ensure you have the correct OAuth credentials and permissions set up for seamless integration.
  • Test API calls: Validate your API requests with test data before deploying them in a production environment.
  • Monitor API usage: Keep an eye on your API usage to avoid hitting rate limits and ensure smooth operation.