#DataBreach #DataSecurity #SensitiveData #DataDiscovery #DataMasking #ZeroTrust #AIAutomation #CyberSecurity #RiskManagement #DataPrivacy #Insurance ##DPDPCompliance #India
Overview
Data breaches pose a massive financial and operational risk for life insurance companies in India. In this video, we analyze the risks, costs, and cutting-edge mitigation strategies to protect sensitive data.
Key Insights
- High Data Breach Risk: A 5% breach probability could cost up to $5.67 billion 💸
- Shadow Data Threat: 1 in 3 breaches involve unclassified shadow data
- Business Disruption: 70% of companies experience severe disruptions after breaches
- Delayed Breach Identification: Takes an average of 258 days to detect and contain.
How to Protect Sensitive Data
- Know Your Data: Use advanced discovery tools to map sensitive information
- Zero-Trust Security: Minimize attack surface with strict access control & MFA
- AI & Automation: Reduce breach costs by 40% with AI-powered security solutions
- Real-time Monitoring: Detect threats instantly with Mage Data & Imperva
Solutions Featured
- Mage Data Sensitive Data Discovery & Classification
- Mage Data Static & Dynamic Data Masking
- Mage Data AI-based Discovery & Redaction
- Mage Data Connections Monitoring & Imperva Data Security Fabric
The cost of inaction is too high! Learn how these advanced security measures can safeguard your organization’s data and ensure compliance.