Pricing

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.

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

STEP 1 : Host your Rasa instance

Install Rasa in your private cloud or on-premise environment to ensure total data sovereignty.

STEP 2 : Connect Rasa to Swiftask

Use the secure connector to link your Rasa instance to the Swiftask orchestration layer via encrypted APIs.

STEP 3 : Configure security policies

Define in Swiftask which data types can be processed and which information must be anonymized before processing.

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

1. Total sovereignty

Your data never leaves your security perimeter, ensuring maximum privacy.

2. Guaranteed compliance

Easily meet GDPR and regulatory requirements through full architectural mastery.

3. Highly customizable AI

Rasa allows you to train models on your own business data without sharing with third parties.

4. Permanent auditability

Every interaction is tracked in your own systems, allowing for full security audits at any time.

5. 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.

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