Global Certificate in Data Security for Digital Badges and Credentials
-- ViewingNowThe Global Certificate in Data Security for Digital Badges and Credentials course is a must for professionals seeking to safeguard data and accelerate their careers. This course addresses the escalating industry demand for skilled data security experts, with a focus on digital badges and credentials.
2,486+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
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โข Data Security Fundamentals • Understanding data security principles, threats, and vulnerabilities • Privacy, confidentiality, and integrity concepts • Data classification and handling best practices
โข Access Control • Identification, authentication, and authorization concepts • Access control models and mechanisms • Implementing least privilege and need-to-know principles
โข Cryptography • Symmetric and asymmetric encryption techniques • Hashing, digital signatures, and certificates • Key management and public key infrastructure (PKI)
โข Security Policies and Procedures • Developing and implementing security policies • Incident response planning and disaster recovery strategies • Compliance with data protection regulations
โข Network Security • Secure network design and architecture • Firewalls, intrusion detection/prevention systems, and virtual private networks (VPNs) • Wireless network security considerations
โข Physical Security • Protecting data centers, servers, and storage devices • Environmental controls and emergency power management • Visitor management and personnel security
โข Cloud Security • Understanding cloud computing models • Secure cloud architecture and service models • Data protection and privacy in cloud environments
โข Security Assessments and Audits • Performing vulnerability assessments and penetration testing • Conducting internal and external security audits • Remediation and continuous improvement strategies
โข Emerging Trends • Internet of Things (IoT) and industrial control systems (ICS) security • Artificial intelligence (AI) and machine learning (ML) in security operations • Privacy concerns in big data and analytics
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