Privitar Data Privacy Platform
Data de-identification tools
Data privacy management software
Sensitive data discovery software
Data governance tools
Encryption software
Data masking software
Confidentiality software
Data security software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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Pay-as-you-go
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Small
Medium
Large
- Public sector and nonprofit organizations
- Healthcare and life sciences
- Transportation and logistics
What is Privitar Data Privacy Platform
Privitar Data Privacy Platform is a software platform for de-identifying and transforming sensitive data so it can be used for analytics, data sharing, and testing while reducing privacy risk. It is typically used by data privacy, governance, and data engineering teams to apply consistent privacy policies across datasets and pipelines. The platform focuses on policy-driven privacy controls (for example, masking, pseudonymization, and other transformations) and supports repeatable application of those controls across environments.
Policy-driven de-identification controls
The platform centers on defining privacy policies and applying them consistently to datasets and data flows. This supports repeatable de-identification outcomes across multiple use cases such as analytics and data sharing. It helps teams standardize how sensitive fields are transformed rather than relying on ad hoc scripts. This approach aligns with governance programs that require documented, auditable rules.
Broad privacy transformation methods
Privitar is designed to support multiple privacy techniques (for example, masking and pseudonymization) that can be selected based on the data use case. This flexibility is useful when different consumers need different levels of identifiability. It can reduce the need to maintain separate tools for each transformation type. It also supports applying transformations at scale across datasets rather than one-off file handling.
Designed for enterprise data use
The product targets enterprise scenarios where sensitive data must be used across teams, systems, and environments. It is oriented toward integration into data pipelines and governed data access patterns rather than only point solutions. This can fit organizations that need consistent controls across multiple lines of business. It is commonly positioned for regulated industries with formal privacy and governance requirements.
Not a full security suite
While it addresses privacy transformations, it does not replace broader data security controls such as network security, endpoint protection, or full database activity monitoring. Organizations typically still need complementary tools for encryption key management, access governance, and security monitoring. Buyers expecting an all-in-one security platform may find functional gaps. Deployment often sits within a larger security and governance architecture.
Implementation can be complex
Policy definition, data classification alignment, and integration into existing pipelines can require significant planning and cross-team coordination. Enterprises may need data engineering effort to operationalize transformations across varied sources and targets. Time-to-value can depend on data landscape complexity and governance maturity. Ongoing maintenance is required as schemas and privacy requirements change.
Discovery capabilities may vary
Sensitive data discovery is often a separate discipline involving scanning, classification, and continuous monitoring across many repositories. Depending on the environment, organizations may still require dedicated discovery and catalog tooling to identify and label sensitive fields before applying de-identification policies. If discovery coverage is limited, privacy controls can be inconsistently applied. This can increase reliance on upstream data governance processes.
Plan & Pricing
Pricing model: Consumption-based / Pay-as-you-go (Informatica Processing Units - IPUs) Public list prices: Not published on the vendor site; pricing requires contacting Informatica sales ('Get Quote'). Example costs: Not available on official product or pricing pages. Notes: Privitar capabilities are integrated into Informatica’s Intelligent Data Management Cloud (IDMC) as Cloud Data Access Management (CDAM) / Privitar Data Security Platform; access to these capabilities is provided via IDMC IPU consumption units (no separate public list prices for Privitar).
Seller details
Privitar Ltd.
London, UK
2014
Private
https://www.privitar.com/
https://x.com/privitar
https://www.linkedin.com/company/privitar/
