Screener/AI21 Labs

AI21 Labs

Enterprise LLM developer with published usage policies but limited public safety research.

HQ🇮🇱 IL
Est2017
Size201-500
EU AI ActGPAI
ai21.com
Score
33.0 / 100
Evidence
4 items
Confidence
low

Early-stage safety posture - basic practices exist but significant gaps remain.

Weaknesses:Governance Maturity, Technical Safety, Risk Assessment, Regulatory Readiness, External Engagement
Focus Areas
foundation modelsjambaenterprise ainlp

Strengths

No notable strengths identified

Risks

  • Risk score (28) - significant gap
  • Regulatory score (30) - significant gap
  • Governance score (32) - significant gap
  • Engagement score (35) - significant gap
  • Technical requires attention
Table of Contents

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
33
TS-01dim: 38
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 38
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 28
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 28
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 28
Incident History & Track Record
Past incidents and response quality
EE-04dim: 35
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
AI21 Labs 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.
32
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
38
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
28
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
30
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
35

Social Impact & Safety Profile

Limited

AI21 Labs develops the Jamba family of models for enterprise use. They maintain usage policies and content restrictions but publish limited safety research compared to larger frontier labs. Enterprise focus provides some governance structure.

enterprise ai safetyusage policies

Peer Comparison

Cohere
C-38

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Mistral AI
C-35

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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: low · Evidence: 4 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.