GenAI data-leak prevention & privacy
Protecto is a data control plane for AI privacy from Protecto. It is a commercial product offered as: SaaS, On-prem, API. Pricing model: paid.
Best for
Teams that want an API that tokenizes or masks sensitive data before it reaches LLMs and RAG pipelines and restores it afterwards
Consider instead if
Protecto is a commercial data protection platform that sits between enterprise data and AI systems such as LLMs, agents and RAG pipelines. The docs describe an API-first service that identifies sensitive data, tokenizes or masks it, and unmasks it later under a policy. The homepage lists format-preserving tokenization, a policy layer with context-based access control, audit logs for scan, mask and unmask events, and framework support including LangChain and LlamaIndex. It runs as SaaS or on-premises and private cloud. The vendor's SaaS page lists monthly plans starting at $250 with a 14-day free trial, and Enterprise pricing is custom. The product is closed source.
This summary is our own wording of the sourced facts on this page.
Each value links to the page that states it, with the date we checked it.
As documented by the vendor or project. The tag is our label from a controlled vocabulary.
Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.
| Layer | Role | How it applies | Based on |
|---|---|---|---|
| L5 Data Data protection | Primary | Keep sensitive data out of prompts, uploads, retrieval and training data, or remove and tokenize it first. | Follows its category, GenAI data-leak prevention & privacy |
| L8 Monitoring Monitoring and response | Also covers | Documents audit logs of scan, mask and unmask events. | Keeps audit logs of scan, mask and unmask events |
The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.
| Risk | How it applies | Based on |
|---|---|---|
| LLM02 Sensitive Information Disclosure | Detects sensitive data and tokenizes or masks it before it reaches a model. | Detects PII, PHI and confidential enterprise data across prompts, documents and outputs; Offers format-preserving tokenization and reversible masking; Auto-detects sensitive entities in free text, masks them under the active policy and unmasks them on request |
| LLM08 Vector and Embedding Weaknesses | The vendor page says it protects data flowing through RAG pipelines and describes a policy layer with context-based access control. It does not mention vector stores or embeddings. | Applies one policy layer that allows, masks, blocks, minimizes or selectively reveals data, with context-based access control |
More in GenAI data-leak prevention & privacy, ranked within the category by Coverage Score.
Data Privacy Stack
Finds and masks personal data in text, images and structured data, and you run it yourself.
Best for: Engineering teams that want a free, self-hosted library to detect and anonymize PII before text reaches a model or a log
Reviewed
Limina
Detects PII, PHI and PCI in text, files, images and audio in a container you run in your own environment.
Best for: Teams that need PII, PHI and PCI de-identification of text, files and audio that runs inside their own VPC or on-premises
Reviewed
Tonic.ai
Detects sensitive entities in text and audio, then redacts or replaces them before data reaches an LLM.
Best for: Teams preparing free text, documents or call audio for LLM training, RAG or testing that need entity-level redaction or synthetic replacement
Reviewed
No. Protecto is a commercial platform reached through an API, and we found no public source repository for it.
The vendor's SaaS page lists a 14-day free trial, Starter at $250 per month, Growth at $500, Scale at $750 and custom Enterprise pricing. Check the vendor for current pricing.
The docs describe SaaS hosted by Protecto and an on-premises or private cloud deployment inside the customer infrastructure.
Protecto is closed source (proprietary).
Source Source, checked October 21, 2026: docs.protecto.ai (opens in a new tab) Checked
Protecto is offered as: SaaS, On-prem, API.
Source Source, checked October 21, 2026: docs.protecto.ai (opens in a new tab) Checked
Pricing model for Protecto: Paid: SaaS plans: Free Trial $0 for 14 days.
Source Source, checked October 21, 2026: protecto.ai (opens in a new tab) Checked
Status of Protecto: Active.
Source Source, checked October 21, 2026: protecto.ai (opens in a new tab) Checked
We have no commercial relationship with Protecto.