The AI engine that protects PII & PHI Information

GenAnonymize protects PII and PHI across policy, claims, billing, and partner data so insurers can secure sensitive information without losing usability.

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Protect sensitive data across all systems

GenAnonymize identifies and masks PII and PHI across policy, claims, billing, and partner datasets so insurers can secure sensitive information without slowing down operations.

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Keep data usable for analytics and workflows

GenAnonymize protects identities while preserving the structure and utility of the data so insurers can continue running analytics, testing, and downstream workflows without disruption.

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Maintain compliance with less effort

GenAnonymize applies insurance-specific transformation rules that align with regulatory standards, helping insurers meet compliance needs without manual review or external tools.

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The Problem

Sensitive insurance data is exposed during everyday workflows

Insurers need to use real customer data across different systems and workflows. To do this, they copy data across internal and external tools.

However, this is dangerous as exposure risk increases every time data is copied. And manual tools and techniques like static data masking are proving to be insufficient against today's threats.

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Production data enters less secure environments

Policy, claims, and billing data often flow into testing, staging, and vendor environments. These locations lack the same controls as production, increasing the chance of sensitive information being exposed.

Production data enters less secure environments

Stage 1

Production data enters less secure environments

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Project Roadmap

Manual anonymization is inconsistent

Teams rely on scripts, spreadsheets, and rules that vary across systems. This leads to gaps in masking, uneven coverage, and repeated cycles of cleanup just to meet compliance expectations.

Manual anonymization is inconsistent

Teams rely on scripts, spreadsheets, and rules that vary across systems. This leads to gaps in masking, uneven coverage, and repeated cycles of cleanup just to meet compliance expectations.

Stage 2

Manual anonymization is inconsistent

Teams rely on scripts, spreadsheets, and rules that vary across systems. This leads to gaps in masking, uneven coverage, and repeated cycles of cleanup just to meet compliance expectations.

Generic tools miss insurance-specific identifiers

Traditional AI and standard masking tools miss domain-specific fields, codes, and relationships in insurance data. This creates hidden risks and forces teams to review and fix sensitive data manually.st.

Generic tools miss insurance-specific identifiers

The Solution

AI that keeps sensitive insurance data secure and usable

GenAnonymize detects and anonymizes PII and PHI at the source, keeping policy, claims, billing, and partner data inside your environment. It preserves structure so insurers can run testing, analytics, and workflows safely.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

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How does InsOps Help?

GenAnonymize Helps Insurers Protect Sensitive Data Easily

GenAnonymize detects and anonymizes PII and PHI across policy, claims, billing, and partner data. It keeps all information inside your environment and preserves structure so teams can run testing, analytics, and workflows without exposure risk or manual cleanup.

Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Field and Terminology Understanding

LilaGPT interprets insurance-specific fields, codes, and terminology across policy, claims, billing, and financial datasets.

Field and Terminology Understanding

LilaGPT interprets insurance-specific fields, codes, and terminology across policy, claims, billing, and financial datasets.

Automatic Schema Mapping

LilaGPT identifies how source and target fields relate and generates initial mappings without manual configuration.

Automatic Schema Mapping

LilaGPT identifies how source and target fields relate and generates initial mappings without manual configuration.

Structure and Format Standardization

LilaGPT aligns formats, attributes, and data types across systems to create consistent structures for downstream workflows.

Structure and Format Standardization

LilaGPT aligns formats, attributes, and data types across systems to create consistent structures for downstream workflows.

Metadata and Schema Change Detection

LilaGPT compares versions of schemas, detects structural changes, and flags shifts that may affect ingestion or migration.

Metadata and Schema Change Detection

LilaGPT compares versions of schemas, detects structural changes, and flags shifts that may affect ingestion or migration.

Transformation Logic Creation

LilaGPT generates transformation rules, validation steps, and reconciliation logic that normally require engineering effort.

Transformation Logic Creation

LilaGPT generates transformation rules, validation steps, and reconciliation logic that normally require engineering effort.

Relationship and Dependency Identification

LilaGPT uncovers parent-child relationships, joins, and business dependencies within and across datasets to support accurate processing.

Relationship and Dependency Identification

LilaGPT uncovers parent-child relationships, joins, and business dependencies within and across datasets to support accurate processing.

Testimonial

What Our Insurance Partners Say

Hear how insurers accelerated data workflows, improved accuracy, and modernized operations with InsOps.

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The successful migration to the Guidewire ClaimCenter Cloud is a testament to our commitment to leveraging modern technology for enhanced operational efficiency and customer satisfaction. Golden Bear is proud of our collaboration with InsOps, whose expertise and strategic approach were instrumental in achieving this transformation.

Michael Hall

Vice President

Golden Bear Insurance Company

FAQ

Frequently

Asked Questions

Have questions? Our FAQ section has you covered with
quick answers to the most common inquiries.

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What is GenAnonymize?

How does GenAnonymize secure PII & PHI data?

Does GenAnonymize work in real time?

What types of sensitive data can GenAnonymize detect?

Will pseudonymization impact data quality or usefulness?

Do we need to write scripts or manage rules?

Is GenAnonymize compliant with regulatory requirements?

Does any data leave our environment while using GenAnonymize?

Can pseudonymization methods be customized?

What is GenAnonymize?

How does GenAnonymize secure PII & PHI data?

Does GenAnonymize work in real time?

What types of sensitive data can GenAnonymize detect?

Will pseudonymization impact data quality or usefulness?

Do we need to write scripts or manage rules?

Is GenAnonymize compliant with regulatory requirements?

Does any data leave our environment while using GenAnonymize?

Can pseudonymization methods be customized?

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Every Insurer We Work With

Moves Faster and Operates Smarter.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained SLM

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Join Us Now

Each Project, Our

Design is Great.

Join us and turn complex data challenges into streamlined, automated operations with the help of our Insurance-trained SLM

Book an Appointment