Insurance: Data Privacy and Security Standards
Description
Mastery of insurance industry data privacy and security requirements, global standards, and technology architectures to protect sensitive customer data and ensure regulatory compliance.
Learning Objectives
IT professionals will understand global data protection laws, insurance-specific information security frameworks, and advanced strategies to safeguard personal and financial data, ensuring compliant technology implementations.
Topics (7)
Includes symmetric/asymmetric encryption, TLS/SSL, secure cloud architectures, multi-factor authentication, identity management, and integrating security by design with insurance technology stacks.
Examines major privacy laws, key provisions on consent and breach notification, cross-border implications, and regulatory fines. Includes subtopics on compliance technology and privacy management systems.
Covers requirements of NAIC Insurance Data Security Model Law, ISO 27001, NIST Cybersecurity Framework, and practical insurance controls including role-based access management, periodic audits, and security reviews.
Focuses on insurance cloud implementations, data residency, encryption at rest and transit, SaaS vendor risk assessments, disaster recovery, and compliance with cloud security regulations (SOC2, HIPAA, IRDAI).
Explores incident detection, response plans, breach notification, forensic analysis, and integration of legal/regulatory reporting mechanisms in insurance event management systems.
Includes privacy engineering, data masking and anonymization, consent management platforms, privacy audits, and technology-driven compliance tools.
Explores ethical use of customer data, AI bias in underwriting, transparency in algorithms, policyholder trust, and global ethical standards in insurance analytics.