Swiftask adds an intelligent filtering layer to your Landbot flows. Automatically detect and block sensitive data before it reaches your systems.
Result:
Ensure compliance and protect your users without sacrificing the conversational experience.
AI Agents
landbot
Connector landbot · Secure OAuth 2.0
Landbot conversational forms are great for customer experience, but they are often vulnerable entry points for unstructured, sensitive data.
Main negative impacts:
GDPR compliance risks
Users often share sensitive personal information in free-text fields, exposing your company to regulatory penalties.
Injection and malicious data
Without control, malicious data can be submitted through your chatbots and compromise your backend databases.
Lack of content control
The absence of real-time filtering makes contextual validation impossible, requiring manual processing.
Swiftask sits between Landbot and your storage tools. Our AI engine analyzes every input in real-time, filters high-risk data, and validates compliance before any processing occurs.
BEFORE / AFTER
Without Swiftask
A user submits a Landbot form containing confidential data. This data is transmitted directly to your CRM or database, creating a potential security loophole and a compliance violation.
With Swiftask + Landbot
Swiftask intercepts the Landbot submission. The AI analyzes the content, masks or blocks sensitive data according to your security rules, and only sends validated information to your system.
1
STEP 1 : Configure your security agent in Swiftask
Define the patterns, keywords, or types of sensitive data (PII) your agent needs to monitor.
2
STEP 2 : Connect your Landbot chatbot
Use Landbot webhooks to send submission data to your Swiftask agent.
3
STEP 3 : Apply your filtering rules
The AI analyzes the context and applies defined actions: block, mask, or request re-entry from the user.
4
STEP 4 : Receive clean data
Your backend tools receive only secure, compliant data ready for processing.
The AI evaluates data nature: detection of card numbers, emails, addresses, or potentially malicious text.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-landbot@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.
Stop threats before they reach your main infrastructure.
Automate GDPR and security standard adherence without changing your forms.
No complex modifications to existing Landbots; a simple webhook configuration is enough.
Avoid manual data cleaning or costly security incident management.
Swiftask applies enterprise-grade security standards for your landbot automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Anomaly detection | Manual detection (days) | Real-time (milliseconds) |
| PII exposure risk | High (raw data) | None (cleaned data) |
| Compliance cost | High (manual audit) | Low (automated) |
Ensure compliance and protect your users without sacrificing the conversational experience.