Neutralize network threats instantly with Control D
Swiftask orchestrates Control D to automate your incident response protocols. Secure your network infrastructure the moment an anomaly is detected.
Result:
Reduce Mean Time To Respond (MTTR) and eliminate human error during threat containment.
AI Agents
control d
Connector control d · Secure OAuth 2.0
Slow incident response leaves your network exposed
When facing an active threat, every second matters. Manual incident response, involving DNS or firewall rule updates, is too slow to counter modern attacks.
Main negative impacts:
Critical reaction time
The delay between threat detection and blocking allows attackers to move deeper into your network.
Operational complexity
Manually managing block rules in Control D during an incident overloads your security teams.
Human error risk
Manual configuration under pressure increases the risk of misconfiguration and accidental outages.
Swiftask automates actions within Control D. As soon as a threat is identified, your AI agents instantly apply the necessary blocking policies.
BEFORE / AFTER
What changes with Swiftask
Manual response
An alert is triggered. The analyst must validate the alert, log into Control D, search for the filtering profile, add the malicious domain, and apply changes. Too slow.
Automated response via Swiftask
Swiftask receives the alert, verifies the threat, and instantly sends an API instruction to Control D to block the malicious domain. The network is protected in milliseconds.
Deploying your automated response
1
STEP 1 : Define your playbooks
Configure in Swiftask which incident scenarios should trigger an action in Control D.
2
STEP 2 : API authentication
Connect Swiftask to your Control D account via a secure API key to authorize rule changes.
3
STEP 3 : Automate the workflow
Create a workflow rule: 'If threat detected, then add domain to blocklist in Control D'.
4
STEP 4 : Test and monitor
Validate the workflow in simulation mode, then enable the automated response in production.
Security orchestration capabilities
Swiftask analyzes the severity and type of threat to decide the appropriate action within Control D.
- Target connector: The agent performs the right actions in control d based on event context.
- Automated actions: Add/remove domains from custom blocklists, dynamically modify filtering profiles, log actions for audit.
- Native governance: All actions are logged with precise timestamps in your Swiftask history.
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.
Operational benefits
Drastic MTTR reduction
Threat blocking time drops from minutes to milliseconds.
Increased efficiency
Your analysts focus on investigation rather than manual configuration.
Unified governance
Centralize your response policies across all security tools.
Scalability
Handle thousands of incidents simultaneously without extra effort.
Proactive security
Apply containment measures before the threat propagates.
Robust security architecture
Swiftask applies enterprise-grade security standards for your control d automations.
- API key encryption: Your Control D credentials are encrypted and stored securely.
- Granular control: Swiftask only has access to the functions required for incident response.
- Full traceability: Every change made in Control D is documented.
- Isolated environments: Workflows are isolated by workspace to prevent interference.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on security metrics
| Metric | Before | After |
|---|---|---|
| Average blocking time | 15+ minutes | < 1 second |
| Analyst workload | High | Reduced by 80% |
| Blocking accuracy | Variable | Audited and systematic |
| Compliance audit | Manual | Automatic |
Take action with control d
Reduce Mean Time To Respond (MTTR) and eliminate human error during threat containment.