Pricing

Schedule your Control D access automatically with AI

Swiftask orchestrates your Control D policies. Enable or disable your network filters on a precise schedule, without any human intervention.

Result:

Enhance your security and optimize network access with ease.

Manual network access management is risky

Managing Control D filtering rules manually is prone to errors. Forgetting to disable a temporary access or delaying a restriction exposes your infrastructure unnecessarily.

Main negative impacts:

Increased security risks: Unrestricted access at the wrong time becomes a potential attack vector for your network.
Inefficient operational management: Manually modifying filtering rules at specific times is time-consuming and hard to scale.
Lack of temporal precision: Human intervention does not allow for instant application of policies during sudden changes.

Swiftask automates your Control D access scheduling. Define temporal or contextual triggers, and our AI agent adjusts your filters instantly.

BEFORE / AFTER

What changes with Swiftask

Manual access management

An administrator must log into the Control D dashboard every morning to adjust filters, then return in the evening to reset them. This repetitive routine is prone to forgetfulness and human error.

Automation with Swiftask

Filtering rules are scheduled within Swiftask. At the defined time, the AI agent communicates with the Control D API to apply changes. No intervention is required, 24/7.

Deploying your Control D scheduling in 4 steps

STEP 1 : Initialize your agent

Create a dedicated agent in Swiftask to manage your network filtering policies.

STEP 2 : Connect Control D

Securely integrate your Control D API credentials into Swiftask.

STEP 3 : Define your scheduling rules

Configure the desired times and actions (enable/disable filters).

STEP 4 : Deploy and audit

Activate the automation and monitor changes from the Swiftask activity log.

Advanced features for your network access

The agent analyzes your connectivity needs, critical time slots, and the current state of filters to apply the best strategy.

Target connector: The agent performs the right actions in control d based on event context.
Automated actions: Scheduled filter enabling/disabling. Dynamic rule adjustment based on context. Multi-profile Control D synchronization. Comprehensive logging of performed actions.
Native governance: Every modification is tracked for full network security compliance.

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.

Benefits of network automation

1. Proactive security

Your filtering policies are applied exactly when needed.

2. Productivity gains

Eliminate repetitive manual access adjustment tasks.

3. Unfailing precision

Automation ensures rules are executed without risk of forgetfulness.

4. Full traceability

Every change is logged for your security audits.

5. No-code flexibility

Adjust your access schedules without writing a single line of code.

Swiftask security commitment

Swiftask applies enterprise-grade security standards for your control d automations.

Encrypted communication: All requests to the Control D API are secured.
Access management: Precisely control who can modify your agent's rules.
Full audit: Access the detailed history of every filter modification.
Independence: Swiftask does not store your sensitive data, only your rules.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your network management

Metric	Before	After
Rule management time	Several hours per week	0 (fully automated)
Security forgetfulness risk	High	None
Reactivity to changes	Slow (human)	Instant (AI)

Take action with control d

Enhance your security and optimize network access with ease.

Automate Control D configuration audits with AI

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