CROZAnonyx
Data breaches, privacy concerns, and legal risks are no longer your concern!
WHAT WE BRING TO THE TABLE
Why CROZAnonyx
Worried about GDPR penalties, data breaches, or privacy risks? You’re not alone. Today’s organizations rely heavily on data—from customer records to financial and healthcare information. But with that comes responsibility. Regulations like GDPR, CCPA, and HIPAA demand that personal data is protected at all times. Traditional methods like encryption aren’t enough—they protect access but don’t remove sensitive content. To truly stay compliant and protect your business, you need a solution that reduces legal risk while still letting you use your data to grow and innovate.
CrozAnonyx helps you unlock the value of your data—safely and responsibly. It anonymizes sensitive information in both structured and unstructured formats, so you can work with real data without exposing personal details. It detects PII automatically, handles large datasets with ease, and integrates with your existing systems. Whether you’re creating test data or securing customer records, CrozAnonyx makes compliance simple. It’s built with big data in mind and powered by AI, helping you reduce risk, meet privacy regulations, and keep your data useful for analytics and innovation.
How can you start with CrozAnonyx?
Reach out to us for CrozAnonyx demo or follow us on social media to be notified about our upcoming webinar on this topic.
After you see how CrozAnonyx can be used in your organization, we will implement it in your preferred environment in three steps:
1. Assessment – choose CrozAnonyx features you want to use and where you want to run it. You pay for the features you use
2. Installation – we’ll help with the installation on your preferred environment and run anonymization on a smaller set of data
3. Handover – your team will be educated on how to use CrozAnonyx and anonymize data in your organization
Anonymization Techniques
AI Anonymization
AI anonymization uses machine learning models to detect and remove sensitive information from unstructured, free-form text—such as emails, support tickets, or medical notes. Unlike rule-based methods, AI anonymization can understand context, handle language nuances, and adapt to various data formats.
Example of use: When handling customer support transcripts, AI anonymization through CrozAnonyx helps automatically identify and redact names, addresses, and other personal data, ensuring compliance while preserving the meaning and intent of the conversation.
Data Masking
Data masking involves replacing sensitive data with fictional but realistic values while maintaining its original format and structure. This method ensures that real data is hidden but still functional for analysis or testing purposes.
Example of use: In software development, data masking allows your team to use realistic but anonymized customer data to test new features without compromising privacy.
Data Swapping
Data swapping is a technique where values within a dataset are exchanged to preserve relationships between data points while anonymizing individual entries. This ensures that the overall structure and utility of the data remain intact.
Example of use: For healthcare data used in medical research, data swapping allows researchers to analyze trends without revealing any personal details about patients.
Pseudonymization
Pseudonymization replaces identifiable information within a dataset with pseudonyms, making it impossible to link the data back to an individual without additional information stored separately.
Example of use: In customer data analysis, pseudonymization ensures you can perform segmentation and analysis without revealing who your customers are, while still allowing access to the data when re-identification is needed for
If You Have Any Questions, We Are One Click Away.
Data Anonymization Course
In just two days, master key anonymization techniques, understand legal requirements like GDPR and CCPA, and gain practical skills to anonymize real-world data safely and effectively.
