AI Integrated Workflow for Secure Data Sharing in Insurance

AI-Powered Secure Data Sharing Between Insurers

1. Initiation of Data Sharing Request

1.1 Identification of Data Needs

Insurers identify specific data requirements for risk assessment, underwriting, or claims processing.

1.2 Request Submission

Utilize a secure online portal to submit data sharing requests, ensuring compliance with regulatory standards.

2. Data Classification and Sensitivity Assessment

2.1 Data Classification

Implement AI-driven tools, such as IBM Watson or Azure Machine Learning, to classify data based on sensitivity levels.

2.2 Risk Assessment

Use AI algorithms to analyze potential risks associated with sharing specific data types, ensuring privacy and security.

3. Consent Management

3.1 Automated Consent Collection

Leverage AI-powered consent management platforms like OneTrust to automate the collection and management of user consents.

3.2 Consent Verification

Implement AI tools to verify the authenticity of consent, ensuring compliance with data protection regulations.

4. Data Encryption and Secure Transmission

4.1 Data Encryption

Utilize encryption tools such as Symantec Encryption or McAfee Complete Data Protection to secure data before transmission.

4.2 Secure Transmission Protocols

Employ AI-enhanced secure transmission protocols like TLS (Transport Layer Security) to protect data in transit.

5. Data Access Control

5.1 Role-Based Access Control (RBAC)

Implement AI-driven access control systems to ensure that only authorized personnel can access sensitive data.

5.2 Continuous Monitoring

Utilize AI tools for continuous monitoring of access logs and user behavior to detect any unauthorized access attempts.

6. Data Sharing Execution

6.1 Data Sharing Agreement

Draft and finalize a data sharing agreement outlining the terms and conditions of data use between insurers.

6.2 Data Transfer

Execute the data transfer using secure methods, ensuring compliance with agreed-upon protocols.

7. Post-Transfer Audit and Compliance Check

7.1 Compliance Audit

Conduct an AI-assisted compliance audit to ensure adherence to data protection regulations and internal policies.

7.2 Feedback Loop

Implement a feedback mechanism to gather insights from stakeholders on the data sharing process for continuous improvement.

8. Data Retention and Deletion

8.1 Data Retention Policy

Establish a clear data retention policy, leveraging AI tools to automate the retention schedule based on regulatory requirements.

8.2 Secure Data Deletion

Utilize AI-driven data deletion solutions to ensure secure and irreversible deletion of data when no longer needed.