Is Autogen (Microsoft) Safe?
Autogen (Microsoft) — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Autogen (Microsoft) is a AI tool with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 0/100. Data sourced from privacy policy analysis, data handling practices, company background, and security certifications. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Autogen (Microsoft) safe?
Trust Score Breakdown — Autogen (Microsoft) has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-04-12).
What is Autogen (Microsoft)'s trust score?
Autogen (Microsoft) has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Autogen (Microsoft)?
Autogen (Microsoft)'s strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Autogen (Microsoft) and who maintains it?
| Author | Unknown |
| Category | Ai Tool |
| Source | N/A |
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Safety Guide: Autogen (Microsoft)
What is Autogen (Microsoft)?
Autogen (Microsoft) is a software tool — Multi-agent conversation framework by Microsoft Research. Open-source, enterprise patterns..
How to Verify Safety
Review the project for recent activity and known issues.
You can also check the trust score via API: GET /v1/preflight?target=AutoGen (Microsoft)
Key Safety Concerns for software tool
When evaluating any software tool, watch for: maintenance status, security.
Measured Signals
Autogen (Microsoft) has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Alternatives
- haotian-liu/LLaVA — 61/100
- wan22_i2v_14b_orbit_shot_lora — 59/100
- ChuckNorris (L1B3RT4S Prompt Enhancer) — 46/100
Key Takeaways
- Autogen (Microsoft) has a Trust Score of 48/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 0/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from privacy policy analysis, data handling practices, company background, and security certifications.
What data does Autogen (Microsoft) collect?
Autogen (Microsoft) is an AI tool. Multi-agent conversation framework by Microsoft Research. Open-source, enterprise patterns.
Privacy score: 42/100. AI tools may use inputs for model improvement unless explicitly opted out. Check the data usage policy before sharing confidential information, code, or personal data.
Consider whether the tool offers enterprise plans with data isolation, SOC 2 compliance, or on-premise deployment options.
Full analysis: Autogen (Microsoft) Privacy Report · Privacy review
Is Autogen (Microsoft) secure?
Security score: 90/100. Multi-agent conversation framework by Microsoft Research. Open-source, enterprise patterns.
Check Autogen (Microsoft)'s security page for certifications such as SOC 2 Type II, ISO 27001, or GDPR compliance documentation. These certifications indicate that the vendor follows established security practices and undergoes regular audits.
For enterprise deployments, verify SSO/SAML support, role-based access control, and audit logging capabilities.
Full analysis: Autogen (Microsoft) Security Report
Autogen (Microsoft) Across Platforms
Same developer/company in other registries:
How we calculated this score
Autogen (Microsoft)'s trust score of 48.2/100 (D) is computed from privacy policy analysis, data handling practices, company background, and security certifications. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (0/100), quality (40/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.