LightOn

Sovereign enterprise GenAI platform deployed on-prem, air-gapped, or EU cloud

AutoGen (Microsoft)

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

LightOn

Excellent

22/25

AutoGen (Microsoft)

Strong

18/25

Score Breakdown

DimensionLightOnAutoGen (Microsoft)

Data Residency

Where is your data stored and processed?

LightOn: Deploys on-premise, in customer VPC, or air-gapped on EU infrastructure, so data never leaves the customer's own security perimeter. Strongest possible residency posture.

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.

5/5

Deploys on-premise, in customer VPC, or air-gapped on EU infrastructure, so data never leaves the customer's own security perimeter. Strongest possible residency posture.

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.

Legal Jurisdiction

Which laws govern the company and your data?

LightOn: French SA incorporated in France, listed on Euronext Growth Paris, with no US parent. Fully under EU/French jurisdiction.

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.

5/5

French SA incorporated in France, listed on Euronext Growth Paris, with no US parent. Fully under EU/French jurisdiction.

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.

Data Retention & Training

Is your data used for model training?

LightOn: In-perimeter deployment means no customer data is sent out or used to train shared models, and retention is governed by the customer's own infrastructure. Scored 4 rather than 5 as public DPA/retention-control documentation is limited.

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.

4/5

In-perimeter deployment means no customer data is sent out or used to train shared models, and retention is governed by the customer's own infrastructure. Scored 4 rather than 5 as public DPA/retention-control documentation is limited.

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.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

LightOn: Holds SOC 2 Type 1. ISO 27001 and SOC 2 Type II are not confirmed in published sources, and ANSSI SecNumCloud appears to be a positioning goal rather than a confirmed qualification.

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.

3/5

Holds SOC 2 Type 1. ISO 27001 and SOC 2 Type II are not confirmed in published sources, and ANSSI SecNumCloud appears to be a positioning goal rather than a confirmed qualification.

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.

Regulatory Fit

Suitability for regulated industries and professional services

LightOn: Purpose-built for regulated and sovereign EU buyers, with public-sector and defense/aerospace references (CNES, Safran, French tax authority) and GDPR/AI Act alignment.

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.

5/5

Purpose-built for regulated and sovereign EU buyers, with public-sector and defense/aerospace references (CNES, Safran, French tax authority) and GDPR/AI Act alignment.

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.

Total Score

22/25

18/25

Best For

LightOn

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.

AutoGen (Microsoft)

Best for EU-headquartered organisations needing maximum data sovereignty; regulated industries (CNIL, AMF); privacy-conscious teams who need strong data retention controls; organisations that need self-hosted or on-premise deployment; enterprises requiring SSO integration.

Detailed Comparison

AutoGen (Microsoft) vs LightOn: 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. LightOn (LightOn, FR) scores 22/25 with a Gold (Excellent) trust badge. Sovereign enterprise GenAI platform deployed on-prem, air-gapped, or EU cloud.

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.

●LightOn (5/5): Deploys on-premise, in customer VPC, or air-gapped on EU infrastructure, so data never leaves the customer's own security perimeter. Strongest possible residency posture.

#### Legal Jurisdiction

LightOn leads with 5/5 vs 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.

●LightOn (5/5): French SA incorporated in France, listed on Euronext Growth Paris, with no US parent. Fully under EU/French jurisdiction.

#### Data Retention & Training

AutoGen (Microsoft) leads with 5/5 vs 4/5.

●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.

●LightOn (4/5): In-perimeter deployment means no customer data is sent out or used to train shared models, and retention is governed by the customer's own infrastructure. Scored 4 rather than 5 as public DPA/retention-control documentation is limited.

#### Certifications

LightOn leads with 3/5 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.

●LightOn (3/5): Holds SOC 2 Type 1. ISO 27001 and SOC 2 Type II are not confirmed in published sources, and ANSSI SecNumCloud appears to be a positioning goal rather than a confirmed qualification.

#### Regulatory Fit

LightOn leads with 5/5 vs 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.

●LightOn (5/5): Purpose-built for regulated and sovereign EU buyers, with public-sector and defense/aerospace references (CNES, Safran, French tax authority) and GDPR/AI Act alignment.

Certifications at a Glance

Certification	AutoGen (Microsoft)	LightOn
SOC 2 Type 1	No	Yes

Overall Verdict

LightOn has a clear trust advantage, scoring 22/25 compared to AutoGen (Microsoft)'s 18/25. LightOn particularly excels in legal jurisdiction, certifications, regulatory fit.

Frequently Asked Questions

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

LightOn has a TrustKit score of 22/25 while AutoGen (Microsoft) scores 18/25. LightOn currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

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

LightOn scores 5/5 for data residency (Deploys on-premise, in customer VPC, or air-gapped on EU infrastructure, so data never leaves the customer's own security perimeter. Strongest possible residency posture.), while AutoGen (Microsoft) scores 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.).

Are LightOn and AutoGen (Microsoft) GDPR compliant?

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

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