Mage Privacy Enhancing Technologies
Data de-identification tools
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$29 per month
Free TrialFree version
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What is Mage Privacy Enhancing Technologies
Mage Privacy Enhancing Technologies is a privacy engineering product focused on de-identifying sensitive data so it can be used more safely in analytics, testing, and data sharing. It supports use cases such as masking, tokenization, and other privacy-preserving transformations applied to structured datasets. The product is typically used by data engineering, security, and compliance teams that need to reduce exposure of personal or regulated data while maintaining utility. Publicly available information about specific supported techniques, deployment options, and integrations is limited, so capabilities should be validated directly with the vendor.
Focus on de-identification workflows
The product aligns with common de-identification needs such as preparing datasets for non-production use and controlled sharing. This positions it within the same problem space as established masking and tokenization offerings. For organizations prioritizing privacy-by-design, a dedicated PET-oriented tool can provide clearer governance than ad hoc scripts.
Potential for privacy engineering
A PET-branded approach typically indicates emphasis on privacy-preserving transformations rather than only access control. This can help teams implement repeatable, policy-driven data handling for regulated fields. It may also support privacy risk reduction across multiple downstream uses (testing, BI, ML) when applied consistently.
May reduce sensitive data exposure
De-identification tools can lower the operational footprint of raw identifiers by replacing or transforming them before broader use. This can simplify internal controls for developers and analysts who do not need direct identifiers. When implemented correctly, it can complement broader security controls such as encryption and monitoring.
Limited public technical detail
There is insufficient publicly verifiable information on exact methods (e.g., deterministic tokenization, format-preserving options, differential privacy), supported data types, and reversibility controls. Without this detail, it is difficult to compare feature depth against more documented platforms in the category. Buyers should request technical documentation, architecture diagrams, and evaluation criteria.
Unclear integration and deployment
Public sources do not clearly confirm supported deployment models (SaaS, self-hosted, VPC), cloud data platform connectors, or API/SDK availability. Integration depth often determines time-to-value for de-identification programs. This uncertainty can increase implementation risk until validated in a proof of concept.
Governance and compliance unknowns
It is not publicly clear how the product supports auditability (logs, lineage), policy management, role-based access, and separation of duties for re-identification keys. These capabilities are commonly required for regulated environments and internal audits. Organizations may need to supplement with external governance tooling if these controls are not included.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Basic | Free | 1 user; Unlimited projects; 1 GB workspace; Download prototypes. (Listed as "Free" on Mage Data pricing page). |
| Starter | $29 per month | 1 user; Unlimited projects; 1 GB workspace. |
| Premium | $99 per month | 3 users; Unlimited projects; 100 GB workspace; advertised 14-day free period. |
| Unlimited | $199 per month | 100 users; Unlimited projects; 100 GB workspace. |
| Enterprise | Custom pricing | Feature-rich Enterprise tier (Standard/Advanced/Premium/Enterprise feature matrix shown on site); contact sales for pricing. |
