Build private and secure chatbots with Rasa and Swiftask
Combine Rasa's flexibility with Swiftask's governance. Deploy AI agents that meet your most stringent privacy requirements.
Result:
Ensure data sovereignty while delivering a top-tier conversational user experience.
AI Agents
rasa
Connector rasa · Secure OAuth 2.0
Privacy risks of standard AI chatbots
Using generic AI solutions exposes your sensitive data to third-party servers. For companies in regulated industries, this is not an option. Data leaks and lack of model control are major barriers to innovation.
Main negative impacts:
Sensitive data exposure
Customer or strategic data sent to public clouds risks being used for third-party model training.
Regulatory non-compliance
GDPR and industry standards require total control over the data lifecycle, which is often impossible with standard SaaS.
Vendor lock-in
Reliance on closed providers prevents deep customization and limits your ability to audit internal processes.
The Swiftask + Rasa integration creates a closed ecosystem. You keep your models and data in-house while benefiting from cutting-edge AI orchestration.
BEFORE / AFTER
What changes with Swiftask
Standard AI solutions
Your queries pass through third-party APIs. You lose control over storage, processing, and information retention. Security is delegated, and audits are impossible.
Swiftask + Rasa architecture
Your Rasa chatbot runs within your infrastructure. Swiftask orchestrates flows without ever storing sensitive data. Each interaction is secured, isolated, and tracked according to your policies.
Secure deployment in 4 steps
1
STEP 1 : Host your Rasa instance
Install Rasa in your private cloud or on-premise environment to ensure total data sovereignty.
2
STEP 2 : Connect Rasa to Swiftask
Use the secure connector to link your Rasa instance to the Swiftask orchestration layer via encrypted APIs.
3
STEP 3 : Configure security policies
Define in Swiftask which data types can be processed and which information must be anonymized before processing.
4
STEP 4 : Enable private mode
Launch your agent. Interactions are processed locally by Rasa and orchestrated by Swiftask with no data leakage.
Features for AI sovereignty
Granular control over data flows, instance isolation, and fine-grained access management.
- Target connector: The agent performs the right actions in rasa based on event context.
- Automated actions: On-premise deployment, end-to-end encryption, dynamic anonymization before model processing, secure logging of all access.
- Native governance: This combination meets the most demanding security audits (e.g., ISO 27001 or HDS).
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-rasa@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.
Why choose this technical duo
Total sovereignty
Your data never leaves your security perimeter, ensuring maximum privacy.
Guaranteed compliance
Easily meet GDPR and regulatory requirements through full architectural mastery.
Highly customizable AI
Rasa allows you to train models on your own business data without sharing with third parties.
Permanent auditability
Every interaction is tracked in your own systems, allowing for full security audits at any time.
Local performance
Reduce latency by processing requests closer to your internal databases.
Enterprise-grade security commitment
Swiftask applies enterprise-grade security standards for your rasa automations.
- Network isolation: Your Rasa instances communicate only with Swiftask via private, encrypted channels.
- Secret management: Use of Vaults to manage access and API keys without code exposure.
- No AI retention: Swiftask trains no models on your data, ensuring no information is reused elsewhere.
- Standard support: Compatible with SSO, SAML, and OIDC authentication protocols for centralized identity management.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Enhanced security metrics
| Metric | Before | After |
|---|---|---|
| Data leakage | High risk via third-party APIs | Zero risk (private infrastructure) |
| Data control | Shared with AI provider | 100% proprietary |
| Auditability | Opaque SaaS models | Full traceability (internal logs) |
| Compliance speed | Complex and uncertain | Native and documented |
Take action with rasa
Ensure data sovereignty while delivering a top-tier conversational user experience.