Use Control D with AI Agents

Control D has taken DNS management to the next level, offering robust content filtering and privacy enhancements for organizations of all sizes. But for teams who want their network policies to work in tandem with daily collaboration, integrating Control D with an AI agent from Runbear can transform DNS security into a dynamic, automated part of your team's workflow—right inside Slack, Teams, or Discord.

About Control D

Control D is a privacy-first, customizable DNS service designed to block unwanted content, malicious domains, ads, and online trackers for both individual users and organizations. Its powerful filtering engine allows teams to tailor policies for content restriction, internet safety, and compliance. Control D supports secure DNS protocols (like DNS-over-HTTPS and DNS-over-TLS), provides geo-location spoofing capabilities to bypass regional restrictions, and is compatible with nearly every device and operating system. Its user-friendly setup appeals to everyone from tech enthusiasts to enterprise IT teams looking for an extra layer of network protection and privacy, without relying on heavy-handed firewalls or VPNs. By providing a centralized point of control for DNS policies, Control D is a foundational part of many security-conscious organizations.

Use Cases in Practice

Integrating Control D with Runbear’s AI agents opens up a world where DNS security and policy management dovetail seamlessly with the way your team communicates. Here’s how these four practical use cases come to life:

Your AI agent can run scheduled or on-demand Control D status checks, summarizing network security updates and breach attempts and posting them as easy-to-read Slack messages. Imagine starting each day with your team's DNS health report delivered in chat—no need to dig through dashboards.

With natural language queries, anyone on your team (not just IT admins) can ask the AI agent questions like, “Which threats were blocked by Control D this week?” or “What’s our current ad-blocking policy?” The AI agent fetches answers from synced Control D documentation or status logs.

For policy optimization, the AI agent can periodically review the current filtering rules—spotting categories that may need attention, such as unblocked risky domains or overly strict filters—and provide recommendations, ensuring your team remains proactive, not reactive.

Finally, collaborative logging of policy updates is simplified. When your team agrees on a change, just tell the AI agent in chat (e.g., “Log that we added social media blocking today”), and it will record the decision, post a timestamped summary in a dedicated channel, and maintain a transparent update trail. These patterns mirror popular automations in Slack-native daily digests and KPI reporting, driving alignment and efficiency.

With these workflows, Control D becomes more than a background security tool—it becomes an active, visible, and collaborative part of your daily team operations.

Control D vs Control D + AI Agent: Key Differences

Integrating Control D with Runbear transforms static DNS administration into an interactive, AI-powered team workflow. Control D alone excels at privacy and filtering, but Runbear brings collaborative automation, making policy management accessible through natural conversations. With AI agents, teams gain instant answers, scheduled insights, and group visibility—moving beyond manual dashboard checks to a shared, automated security posture.

Implementation Considerations

Adopting Control D alone often means IT teams shoulder the burden of manual dashboard checks, ad-hoc reporting, and fragmented communication around network policy changes. Implementing Runbear’s AI agent solution requires initial setup: connecting the agent to your team’s chat platform, syncing Control D documentation, and customizing scheduled workflows. Teams should prepare for some training to adopt conversational AI-driven processes, particularly for non-technical staff. Evaluate permissions and access controls to ensure only authorized team members can trigger sensitive actions. Factor in data governance and privacy compliance when syncing access logs or configuration details to chat. While automation reduces manual overhead, clear procedures for escalation and oversight remain essential for safe, effective DNS management.

Get Started Today

Combining Control D with a Runbear AI agent delivers automated, collaborative DNS policy management—making network security transparent and actionable for your whole team. With daily summaries, instant policy answers, and easy logging, your team handles DNS as a natural part of their workflow, not a siloed IT task. Ready to transform your team’s approach to network security? Try integrating Control D with Runbear to unlock smarter, AI-powered DNS management—start today and see the impact on your team’s productivity and peace of mind!