AutoGen (Microsoft)

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

Prediction Guard

Privacy-first LLM API with built-in compliance and safety controls

AutoGen (Microsoft)

Strong

18/25

Prediction Guard

Strong

20/25

Score Breakdown

DimensionAutoGen (Microsoft)Prediction Guard

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.

Prediction Guard: Offers EU deployment options alongside US hosting. VPC and on-premise deployments available for full data sovereignty. Flexible hosting model.

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.

4/5

Offers EU deployment options alongside US hosting. VPC and on-premise deployments available for full data sovereignty. Flexible hosting model.

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.

Prediction Guard: US Delaware corporation. Subject to US jurisdiction. However, on-premise deployment mitigates many jurisdiction concerns for EU customers.

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

US Delaware corporation. Subject to US jurisdiction. However, on-premise deployment mitigates many jurisdiction concerns for EU customers.

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.

Prediction Guard: No customer data used for training. Built-in PII redaction. Configurable data retention. On-premise option means data never leaves customer infrastructure.

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

No customer data used for training. Built-in PII redaction. Configurable data retention. On-premise option means data never leaves customer infrastructure.

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.

Prediction Guard: SOC 2 Type II certified. HIPAA BAA available. Strong compliance posture for a startup. No ISO 27001 yet.

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.

4/5

SOC 2 Type II certified. HIPAA BAA available. Strong compliance posture for a startup. No ISO 27001 yet.

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.

Prediction Guard: Purpose-built for regulated industries. HIPAA compliant for healthcare. Safety controls address key regulatory concerns around AI outputs in sensitive contexts.

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

Purpose-built for regulated industries. HIPAA compliant for healthcare. Safety controls address key regulatory concerns around AI outputs in sensitive contexts.

Total Score

18/25

20/25

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.

Prediction Guard

Best for regulated industries (HHS, FDA); 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 Prediction Guard: 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. Prediction Guard (Prediction Guard, US) scores 20/25 with a Silver (Strong) trust badge. Privacy-first LLM API with built-in compliance and safety controls.

Dimension-by-Dimension Breakdown

#### Data Residency

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

●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.

●Prediction Guard (4/5): Offers EU deployment options alongside US hosting. VPC and on-premise deployments available for full data sovereignty. Flexible hosting model.

#### 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.

●Prediction Guard (3/5): US Delaware corporation. Subject to US jurisdiction. However, on-premise deployment mitigates many jurisdiction concerns for EU customers.

#### 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.

●Prediction Guard (5/5): No customer data used for training. Built-in PII redaction. Configurable data retention. On-premise option means data never leaves customer infrastructure.

#### Certifications

Prediction Guard leads with 4/5 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.

●Prediction Guard (4/5): SOC 2 Type II certified. HIPAA BAA available. Strong compliance posture for a startup. No ISO 27001 yet.

#### 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.

●Prediction Guard (4/5): Purpose-built for regulated industries. HIPAA compliant for healthcare. Safety controls address key regulatory concerns around AI outputs in sensitive contexts.

Certifications at a Glance

Certification	AutoGen (Microsoft)	Prediction Guard
HIPAA BAA	No	Yes
SOC 2 Type II	No	Yes

Overall Verdict

Prediction Guard has a clear trust advantage, scoring 20/25 compared to AutoGen (Microsoft)'s 18/25. Prediction Guard particularly excels in certifications.

Frequently Asked Questions

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

AutoGen (Microsoft) has a TrustKit score of 18/25 while Prediction Guard scores 20/25. Prediction Guard currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do AutoGen (Microsoft) and Prediction Guard 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 Prediction Guard scores 4/5 (Offers EU deployment options alongside US hosting. VPC and on-premise deployments available for full data sovereignty. Flexible hosting model.).

Are AutoGen (Microsoft) and Prediction Guard GDPR compliant?

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

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