Swiftask orchestrates your Control D rules. Your DNS filtering adjusts in real-time based on detected threats, without any manual action.
Result:
Enhance your security posture instantly. Reduce the burden on your IT teams.
AI Agents
control d
Connector control d · Secure OAuth 2.0
Static blocklists are obsolete the moment they are published. Threats evolve too quickly for manual filtering rules management. IT teams are overwhelmed by constant updates, leaving security gaps open in your network perimeter.
Main negative impacts:
Limited threat responsiveness
The latency between threat detection and DNS rule updates exposes your organization to increased risks.
Overburdened technical teams
Manual maintenance of filtering rules consumes valuable time that could be allocated to strategic projects.
Human error risks
Complex manual configurations increase the probability of mistakes, creating unintentional vulnerabilities.
Swiftask automates dynamic filtering on Control D. Our AI agents analyze traffic and adjust DNS rules instantly. You benefit from proactive, adaptable, and fully automated protection.
BEFORE / AFTER
Traditional DNS management
A new threat is identified. The security team must manually update blocklists in Control D. Between detection and application, minutes or even hours pass. The network remains vulnerable during this window.
Dynamic filtering with Swiftask
As soon as an indicator of compromise is detected, Swiftask triggers an immediate update of rules via the Control D API. Filtering is applied across the entire network in milliseconds, without human intervention.
1
STEP 1 : Swiftask agent initialization
Configure a dedicated network security agent in Swiftask. Define the threat intelligence sources to monitor.
2
STEP 2 : Control D API connection
Integrate your Control D credentials into Swiftask. The link is secure and allows read/write access to your filtering profiles.
3
STEP 3 : Defining adaptation rules
Establish logical conditions: if this threat is detected, then block this domain or category in Control D.
4
STEP 4 : Monitoring and execution
The agent monitors alerts and orchestrates changes in Control D in real-time. Track activity from your dashboard.
The agent evaluates threat severity, request frequency, and business context to prioritize blocking actions.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-control-d@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Reduce threat response time to seconds.
Free your engineers from repetitive update tasks.
Maintain a consistent and auditable security policy at all times.
Adjust your filtering rules without writing a single line of code.
Eliminate human configuration errors through automation.
Swiftask applies enterprise-grade security standards for your control d automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Response time | Hours (manual) | Milliseconds (automated) |
| Configuration errors | Frequent | None |
| IT availability | Log-focused | Architecture-focused |
| Deployment | Complex project | Rapid setup |
Enhance your security posture instantly. Reduce the burden on your IT teams.