Screener/Mistral AI

Mistral AI

Open-weight AI model developer subject to EU AI Act GPAI obligations with growing governance maturity.

HQ🇫🇷 FR
Est2023
Size51-200
EU AI ActGPAI Systemic
mistral.ai
Score
35.0 / 100
Evidence
5 items
Confidence
medium

Developing safety practices - core foundations in place with room for improvement.

Weaknesses:Governance Maturity, Technical Safety, Risk Assessment, Regulatory Readiness, External Engagement
Focus Areas
foundation modelsopen-weight modelsEU AI Act

Strengths

No notable strengths identified

Risks

  • Governance score (30) - significant gap
  • Risk score (30) - significant gap
  • Engagement score (35) - significant gap
Table of Contents

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
35
TS-01dim: 40
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 40
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 30
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 30
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 30
Incident History & Track Record
Past incidents and response quality
EE-04dim: 35
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
Mistral AI incident records sourced from AIAAIC Repository and public reporting.
Integration: AIAAIC, OECD AI Incidents Monitor
Third-Party Audits
External audit reports, SOC 2 attestations, and ISO certifications verified where published.
Sources: Company filings, registry lookups
CVE & Disclosures
Known vulnerabilities and security advisories from NVD, GitHub Security Advisories, and vendor pages.
Sources: NVD, GHSA, vendor disclosure pages

Dimension Breakdown

GM
Governance Maturitypreliminary
Published policies, corporate structure, safety mandate, whistleblowing, executive commitment.
30
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
40
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
30
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
40
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
35

Social Impact & Safety Profile

Moderate

Mistral AI is the leading European frontier lab, developing open-weight models (Mistral, Mixtral, Pixtral). As a French company, it faces direct EU AI Act compliance obligations. Has engaged with EU regulators but initially lobbied against strict open-source AI regulation. Governance structures are developing but less mature than US frontier lab peers.

open-weight modelsEU AI Act complianceEuropean AI sovereignty

Peer Comparison

Cohere
C-38

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AI21 Labs
D+33

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xAI
D25

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Stability AI
D-22

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Data Sources & Methodology

Scoring methodology v0.1 · 40 indicators · 6 frameworks

Last assessment: 2026-03-23 · Confidence: medium · Evidence: 5 items

NIST AI RMF · EU AI Act · ISO 42001 · FLI AI Safety Index · MLCommons AILuminate · METR

Scores reflect publicly available information. A low score may indicate limited transparency rather than poor safety practices.