"Mastering Data Security" is your essential handbook for safeguarding the lifeblood of any organization – data. In this comprehensive guide, we equip data professionals, security analysts, and business leaders with the knowledge and expertise to build an impenetrable fortress around their critical information. From understanding data classification and encryption to implementing access controls and data loss prevention, this resource covers every aspect of data security. With real-world case studies and practical insights, readers will gain the skills needed to thwart cyber threats, comply with regulations, and instill a data-centric security culture. Join us on this transformative journey to elevate your data security practices and preserve the confidentiality, integrity, and availability of your most valuable asset – data. Let "Mastering Data Security" be your key to unlocking success in the realm of data protection.
What's Inside:
- Introduction to Data Security
- The Importance of Data Security
- Data Security Challenges and Risks
- Key Concepts in Data Security
- Data Security Frameworks and Standards
- Data Classification and Sensitivity
- Understanding Data Classification
- Identifying Data Sensitivity Levels
- Data Ownership and Responsibility
- Data Privacy Regulations and Compliance
- Data Encryption and Cryptography
- Fundamentals of Data Encryption
- Symmetric and Asymmetric Encryption
- Public Key Infrastructure (PKI)
- Key Management and Distribution
- Cryptographic Algorithms and Protocols
- Secure Data Storage and Backup
- Data Storage Technologies and Architectures
- Data Storage Encryption
- Securing Data at Rest and in Transit
- Backup and Disaster Recovery Strategies
- Cloud Storage Security
- Database Security
- Database Management Systems (DBMS)
- Database Access Control
- Database Encryption and Masking
- Database Auditing and Monitoring
- Database Vulnerability Assessment and Patching
- Secure Data Transmission
- Secure Network Protocols for Data Transmission
- Virtual Private Networks (VPNs)
- Secure File Transfer Protocols (SFTP, FTPS)
- Secure Email Communication
- Secure Web Communication (HTTPS)
- Data Loss Prevention (DLP)
- Understanding Data Loss Prevention
- Data Discovery and Classification
- Data Leakage Prevention Techniques
- Endpoint Data Protection
- Insider Threat Detection and Prevention
- Access Control and Identity Management
- Authentication Methods and Technologies
- Role-Based Access Control (RBAC)
- Identity and Access Management (IAM)
- Single Sign-On (SSO)
- Privileged Access Management (PAM)
- Secure Development Practices
- Secure Software Development Life Cycle (SDLC)
- Threat Modeling and Risk Assessment
- Secure Coding Practices
- Secure Configuration Management
- Code and Application Vulnerability Testing
- Data Breach Incident Response
- Incident Response Planning and Preparation
- Incident Detection and Analysis
- Containment and Eradication
- Data Breach Notification and Communication
- Lessons Learned and Post-Incident Actions
- Cloud Data Security
- Data Security in Cloud Environments
- Cloud Data Encryption and Key Management
- Data Residency and Jurisdiction
- Cloud Provider Security Controls
- Cloud Compliance and Audit
- Emerging Trends in Data Security
- Big Data Security and Analytics
- Internet of Things (IoT) Data Security
- Artificial Intelligence (AI) in Data Security
- Blockchain and Distributed Ledger Technology
- Privacy-Preserving Techniques and Regulations
- Appendix
- Glossary of Data Security Terms
- Data Security Laws and Regulations
- Data Security Best Practices Checklist
- Data Security Tools and Resources
- About the author
About the author:
Kris Hermans is a renowned expert in the field of cyber security, with decades of practical experience and a passion for educating others. With a strong background in both technical and strategic aspects of cyber security, Kris has helped numerous organizations strengthen their defences and navigate the complex cyber landscape.
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