Insurance AI Starts with Data Discovery
Protect PHI/PII, meet regulations, and build AI models you can trust
Examples of Covered Standards, Guidelines, and Applications
Health Level
- HL7 (V2)
- HL7 (V3)
- Clinical Document Architecture (CDA)
- Fast Healthcare Interoperability Resources (FHIR)
EDI
- X12 270/271
- X12 276/277
- X12 278
- X12 835
- X12 837
Applications
- TriZetto QNXT
- Guidewire PolicyCenter
- Guidewire BillingCenter
Insurance Regulatory Compliance: HIPAA, GDPR, CCPA,
DPDP, GLBA, State-Specific Insurance Privacy Laws
Automated Data Discovery
- Identifies known and shadow data across all environments, including policy management systems, claims processing platforms, and other insurance systems
- Provides a unified view of data assets, critical for HIPAA, CCPA, GDPR, and insurance specific regulatory compliance, addressing data fragmentation
AI-Powered Data Classification
- Utilizes machine learning, natural language processing, and pattern matching to categorize data sensitivity
- Enables adaptive access controls, enhancing protection of policy holders’ PII, health information, and financial data
One-Click Encryption
- AI discovery locates all sensitive data and provides one-click encryption
- Calls existing data masking, encryption, and synthetic data solutions for centralized management
- 256-bit encryption
Proactive Risk Mitigation
and Compliance Monitoring
- Automates discovery of data requiring security measures, addressing growing cybersecurity threats
- Ensures adherence to HIPAA, GDPR, CCPA and provides historical data trends alerting organizations to increases or decreases of sensitive data risk exposure
Simplified Data Privacy Management
- Simplifies data discovery, security, and automation processes and scales as policyholder data increases
- Allows insurers to focus on policyholders’ policies and claims while maintaining the highest levels of data compliance
Schedule Your Personalized Consultation
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Accelerate Your Data Privacy Journey
Gain a unified view of data sources across AWS regions for enhanced data security and streamlined cost controls.
Discover sensitive data across environments using AI-driven technology and remove error-prone manual processes.
Protect sensitive data using sophisticated encryption, call masking, or data synthesis solutions with one platform.