AutoGen (Microsoft)

Microsoft's open-source framework for building conversational multi-agent AI systems

Rasa

Open-source conversational AI framework for building enterprise chatbots and voice assistants

AutoGen (Microsoft)

Strong

18/25

Rasa

Strong

19/25

Score Breakdown

DimensionAutoGen (Microsoft)Rasa

Data Residency

Where is your data stored and processed?

AutoGen (Microsoft): MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.

Rasa: Open-source framework deployable on any infrastructure. Self-hosted option means data never leaves customer's environment. No cloud dependency for core functionality.

5/5

MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.

5/5

Open-source framework deployable on any infrastructure. Self-hosted option means data never leaves customer's environment. No cloud dependency for core functionality.

Legal Jurisdiction

Which laws govern the company and your data?

AutoGen (Microsoft): Published by Microsoft (US), but MIT licence means the framework is infrastructure-independent. Self-hosted EU deployments are not subject to Microsoft's jurisdiction. Azure integration is optional and not required for the framework to function.

Rasa: Dual incorporation: Rasa Technologies GmbH (Germany) and Rasa Technologies Inc (USA). German R&D but US entity introduces CLOUD Act considerations. Self-hosted deployments mitigate jurisdiction risks.

3/5

Published by Microsoft (US), but MIT licence means the framework is infrastructure-independent. Self-hosted EU deployments are not subject to Microsoft's jurisdiction. Azure integration is optional and not required for the framework to function.

3/5

Dual incorporation: Rasa Technologies GmbH (Germany) and Rasa Technologies Inc (USA). German R&D but US entity introduces CLOUD Act considerations. Self-hosted deployments mitigate jurisdiction risks.

Data Retention & Training

Is your data used for model training?

AutoGen (Microsoft): Fully self-hosted: complete control over all agent conversation data, code execution outputs, and task results. No data sent to Microsoft unless Azure OpenAI is chosen as the LLM provider.

Rasa: Self-hosted architecture gives customers complete control over data retention. Rasa does not access or host customer data. Open-source code allows full audit of data handling.

5/5

Fully self-hosted: complete control over all agent conversation data, code execution outputs, and task results. No data sent to Microsoft unless Azure OpenAI is chosen as the LLM provider.

5/5

Self-hosted architecture gives customers complete control over data retention. Rasa does not access or host customer data. Open-source code allows full audit of data handling.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

AutoGen (Microsoft): Open-source research framework with no published security certifications for the project itself. Enterprise deployments should apply their own security controls. The framework code has been reviewed by Microsoft Research.

Rasa: Controls aligned with ISO 27002. Supports GDPR and HIPAA compliance. No formal ISO 27001 or SOC 2 certifications listed. Self-hosted model shifts certification burden to customer.

1/5

Open-source research framework with no published security certifications for the project itself. Enterprise deployments should apply their own security controls. The framework code has been reviewed by Microsoft Research.

2/5

Controls aligned with ISO 27002. Supports GDPR and HIPAA compliance. No formal ISO 27001 or SOC 2 certifications listed. Self-hosted model shifts certification burden to customer.

Regulatory Fit

Suitability for regulated industries and professional services

AutoGen (Microsoft): Excellent fit for technical EU teams building sovereign AI agent systems. MIT licence, any-LLM-provider support, and self-hosted deployment make this adaptable to any regulatory requirement. The framework imposes no data obligations; compliance is determined by your deployment choices.

Rasa: Excellent for regulated industries due to self-hosting capability. Used by enterprises in financial services, healthcare, and government. Full data control enables compliance with strict regulatory requirements.

4/5

Excellent fit for technical EU teams building sovereign AI agent systems. MIT licence, any-LLM-provider support, and self-hosted deployment make this adaptable to any regulatory requirement. The framework imposes no data obligations; compliance is determined by your deployment choices.

4/5

Excellent for regulated industries due to self-hosting capability. Used by enterprises in financial services, healthcare, and government. Full data control enables compliance with strict regulatory requirements.

Total Score

18/25

19/25

Best For

AutoGen (Microsoft)

Best for privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget.

Rasa

Best for regulated industries (financial-services, healthcare); privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; teams on a tight budget; enterprises requiring SSO integration.

Detailed Comparison

AutoGen (Microsoft) vs Rasa: Trust & Compliance Comparison

AutoGen (Microsoft) (Microsoft Research, US) scores 18/25 overall with a Silver (Strong) trust badge. Microsoft's open-source framework for building conversational multi-agent AI systems. Rasa (Rasa, DE) scores 19/25 with a Silver (Strong) trust badge. Open-source conversational AI framework for building enterprise chatbots and voice assistants.

Dimension-by-Dimension Breakdown

#### Data Residency

Both score equally at 5/5.

●AutoGen (Microsoft) (5/5): MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.

●Rasa (5/5): Open-source framework deployable on any infrastructure. Self-hosted option means data never leaves customer's environment. No cloud dependency for core functionality.

#### Legal Jurisdiction

Both score equally at 3/5.

●AutoGen (Microsoft) (3/5): Published by Microsoft (US), but MIT licence means the framework is infrastructure-independent. Self-hosted EU deployments are not subject to Microsoft's jurisdiction. Azure integration is optional and not required for the framework to function.

●Rasa (3/5): Dual incorporation: Rasa Technologies GmbH (Germany) and Rasa Technologies Inc (USA). German R&D but US entity introduces CLOUD Act considerations. Self-hosted deployments mitigate jurisdiction risks.

#### Data Retention & Training

Both score equally at 5/5.

●AutoGen (Microsoft) (5/5): Fully self-hosted: complete control over all agent conversation data, code execution outputs, and task results. No data sent to Microsoft unless Azure OpenAI is chosen as the LLM provider.

●Rasa (5/5): Self-hosted architecture gives customers complete control over data retention. Rasa does not access or host customer data. Open-source code allows full audit of data handling.

#### Certifications

Rasa leads with 2/5 vs 1/5.

●AutoGen (Microsoft) (1/5): Open-source research framework with no published security certifications for the project itself. Enterprise deployments should apply their own security controls. The framework code has been reviewed by Microsoft Research.

●Rasa (2/5): Controls aligned with ISO 27002. Supports GDPR and HIPAA compliance. No formal ISO 27001 or SOC 2 certifications listed. Self-hosted model shifts certification burden to customer.

#### Regulatory Fit

Both score equally at 4/5.

●AutoGen (Microsoft) (4/5): Excellent fit for technical EU teams building sovereign AI agent systems. MIT licence, any-LLM-provider support, and self-hosted deployment make this adaptable to any regulatory requirement. The framework imposes no data obligations; compliance is determined by your deployment choices.

●Rasa (4/5): Excellent for regulated industries due to self-hosting capability. Used by enterprises in financial services, healthcare, and government. Full data control enables compliance with strict regulatory requirements.

Overall Verdict

AutoGen (Microsoft) and Rasa are closely matched on trust and compliance, with scores of 18/25 and 19/25 respectively. The right choice depends on your specific regulatory requirements and existing technology stack.

Frequently Asked Questions

Which is better for EU compliance, AutoGen (Microsoft) or Rasa?

AutoGen (Microsoft) has a TrustKit score of 18/25 while Rasa scores 19/25. Rasa currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do AutoGen (Microsoft) and Rasa compare on data residency?

AutoGen (Microsoft) scores 5/5 for data residency (MIT-licensed open-source framework. No vendor cloud—deploy entirely on your own EU infrastructure. Data residency is determined entirely by your chosen infrastructure. Maximum possible data sovereignty.), while Rasa scores 5/5 (Open-source framework deployable on any infrastructure. Self-hosted option means data never leaves customer's environment. No cloud dependency for core functionality.).

Are AutoGen (Microsoft) and Rasa GDPR compliant?

Both tools are assessed across five compliance dimensions. AutoGen (Microsoft) has a regulatory fit score of 4/5 and Rasa scores 4/5. Check the full comparison above for a detailed breakdown.

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