Meta AI AI Vendor Risk Profile
Meta's AI research division developing the Llama family of open-weight foundation models. Largest contributor of open-weight frontier models globally.
Risk overview
Risk score: 32/100
Risk tier: Moderate
Safety rating: 68/100 (higher is better)
Lower risk scores indicate lower assessed risk.
Last verified: Apr 19, 2026 Aging
Risk dimensions
| Dimension | Risk score |
|---|---|
| Data Handling | 54/100 |
| IP Exposure | 43/100 |
| Jurisdiction | 13/100 |
| Security | 18/100 |
| Regulatory Compliance | 40/100 |
| Transparency | 10/100 |
| Business Stability | 11/100 |
| Dependency Chain | Not assessed |
| Agent Governance | Not assessed |
Analyst summary
Rating: Caution
Meta's Llama family is a leading open-weights option with wide deployment, but Meta AI the consumer product is a data-hungry platform built on top of Facebook and Instagram's surveillance infrastructure. The Kadrey v. Meta training-data lawsuit and the 700M MAU commercial-use cap on Llama weights are material for enterprise use.
Bottom line: Use Llama open weights via a trusted host or self-deployment; avoid Meta AI consumer products for business purposes.
Strengths
- Open-weights Llama models let customers self-host with full data control
- Strong model performance across the Llama 3.3 and Llama 4 families
- Broad platform scale for consumer AI features (WhatsApp, Instagram, Facebook integrations)
Concerns
- Meta AI trains on user data from its social platforms by default
- Kadrey v. Meta alleges training on pirated books from LibGen
- Llama license requires permission for services above 700M MAU, complicating enterprise redistribution
- Meta has paused some EU generative AI features due to regulatory pressure
Best for
- Self-hosted Llama deployments where customers want weight-level control
- On-premises or air-gapped workloads using Llama open weights
- Research teams needing to fine-tune and inspect model internals
Avoid if
- You are considering Meta AI consumer features for business or confidential data
- Your legal team requires clean training-data provenance
- You need enterprise indemnification on outputs (Meta does not offer it for Llama)
Citations
- Data Handling — Data Retention Period
We retain AI interactions for as long as needed to provide the features and improve our AI models, unless you delete them.
- Data Handling — Trains On User Data
We use information you share on our Products and interactions with generative AI features to develop and improve AI at Meta, subject to regional controls.
- Ip Profiles — Commercial Use Permitted
If the monthly active users of the products or services made available by or for Licensee exceeds 700 million monthly active users, you must request a license from Meta.
- Ip Profiles — Known Ip Lawsuits
Kadrey v. Meta Platforms: authors including Richard Kadrey and Sarah Silverman allege Meta used pirated books from LibGen to train Llama models.
- Ip Profiles — User Owns Outputs
Subject to the terms of this Agreement, Meta grants you a non-exclusive, worldwide, non-transferable and royalty-free limited license to use, reproduce, distribute, copy, create derivative works of, and make modifications to the Llama Materials.
- Jurisdiction Profiles — Incorporation Country
Meta Platforms, Inc. is a Delaware corporation headquartered in Menlo Park, California (SEC Form 10-K).
- Security Compliance — Gdpr Compliant
Meta Platforms Ireland Limited is the data controller for EEA users and has suspended some generative AI features in response to EU Data Protection Authority concerns.
- Security Compliance — Soc2 Type2
Meta has undergone SOC 2 Type II audits for services covering Meta AI business offerings.