Entry Point AI
Entry Point AI is a fine-tuning platform for optimizing large language models (LLMs) performance, enhancing prompt engineering and retrieval-augmented generation (RAG).
Independent assessment across data handling, compliance, security and transparency.
Risk factors
3- Cloud-based service with potential third-party data handling.
- May expose sensitive model training data.
- Requires user authentication but lacks strong enterprise controls.
Recommendations
4- Require DPA before uploading any training data
- Ensure training data is stripped of PII before upload
- Confirm model isolation — fine-tuned models should not be shared across tenants
- Request SOC 2 report before enterprise adoption
Data handling
- Storage
- Cloud platform; training data stored for fine-tuning
- Retention
- Not clearly documented
- Training on inputs
- Training data explicitly used to fine-tune models
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