Head-to-head · Data De-Identification Tools
IRI FieldShield vs K2view Data Masking
IRI FieldShield leads on 0 checks, K2view Data Masking on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreIRI FieldShield · 8.8/10
- Most featuresK2view Data Masking · 2 of 6
IRI FieldShield scores higher on our rubric for data de-identification tools: 8.8 against 8.5 out of 10; our editors rank them #2 and #3.
IRI FieldShield is the better fit for mid-market and enterprise data protection teams. K2view Data Masking is the better fit for enterprises masking linked data across systems.
- IRI FieldShield fits best
Mid-market and enterprise data protection teams
- K2view Data Masking fits best
Enterprises masking linked data across systems
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Side by side
| Feature | IRI FieldShield 8.8/10 Visit ↗ | K2view Data Masking 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 8.5 |
| Ranking | #2 in Data De-Identification Tools | #3 in Data De-Identification Tools |
| Best for | Mid-market and enterprise data protection teams | Enterprises masking linked data across systems |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted, Desktop | Cloud, Self-hosted |
| Platforms | Windows, Linux | Web |
| Support | Email, Phone, Tickets, Docs | Tickets, Community, Docs |
| Compliance | GDPR, HIPAA, PCI DSS, SOC 2 | SOC 2, ISO 27001, GDPR |
| Integrations | 14 integrations | 6 integrations |
| Built for | Mid-market, Enterprise | Enterprise, Mid-market |
| Features IRI FieldShield 0/6 · K2view Data Masking 2/6 | ||
| PII discovery | Not checked yet | Not checked yet |
| Tokenization | Not checked yet | Not checked yet |
| Synthetic data generation | Not checked yet | ✓ (best) |
| Structured data support | Not checked yet | Not checked yet |
| Unstructured data support | Not checked yet | Not checked yet |
| API access | Not checked yet | ✓ (best) |
| Specs | ||
| Deployment | Hybrid | Hybrid |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | IRI FieldShield discovers, classifies, and protects sensitive data in relational databases, flat files, and other structured or semi-structured sources. It is aimed at data architects, DBAs, developers, and compliance teams handling PII,… Read the review → |
K2view Data Masking discovers and classifies sensitive data, then applies static or dynamic masking across structured and unstructured sources. It is aimed at mid-market and enterprise teams managing data for compliance, testing,… Read the review → |
Strengths and trade-offs
IRI FieldShield — where it wins
- Combines discovery, classification, risk scoring, masking, and audit trails
- Offers encryption, hashing, redaction, pseudonymization, and tokenization
- Supports deterministic masking across data sources and multiple execution modes
Where it doesn't
- No free plan; standalone perpetual licensing requires a quote
- Published first-copy pricing is in the low-five-figure range
- Not positioned for threat detection or activity monitoring
K2view Data Masking — where it wins
- Preserves referential integrity through business-entity-based masking.
- Discovers and classifies sensitive data across structured and unstructured sources.
- Supports masking in flight or at rest, plus data subsetting.
Where it doesn't
- Pricing requires contacting sales.
- Its broad cross-system scope may exceed the needs of teams masking a single source.
- Deployment and policy options may add complexity for smaller teams.
- IRI FieldShield8.8/10 · Pricing on request
A flexible masking toolkit for teams protecting sensitive data across sources.
Visit IRIFull verdict → - K2view Data Masking8.5/10 · Pricing on request
Masks sensitive data across connected systems while preserving business-entity relationships.
Visit K2viewFull verdict →
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- IRI FieldShield vs DataVeil
- K2view Data Masking vs Tonic.ai
All data De-Identification tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





