Global Certificate in AI Security: Secure Data Management
-- ViewingNowThe Global Certificate in AI Security: Secure Data Management course is essential for professionals seeking to gain expertise in AI security and data management. This certificate course is designed to meet the growing industry demand for AI security specialists, with a focus on secure data management practices.
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โข Secure Data Management Fundamentals: Introduction to AI security, data privacy, and secure data management practices. This unit covers the basics of data security and the importance of protecting sensitive information in AI systems.
โข Data Encryption and Decryption Techniques: In-depth study of various encryption and decryption techniques for securing data in transit and at rest. This unit covers symmetric and asymmetric encryption algorithms, key management, and encryption best practices in AI systems.
โข Access Control and Authentication Methods: Overview of access control and authentication methods used in AI systems. This unit covers various authentication techniques, such as single sign-on, two-factor authentication, and multi-factor authentication, as well as access control models like discretionary access control, mandatory access control, and role-based access control.
โข Data Privacy and Compliance: Study of data privacy laws, regulations, and industry standards. This unit covers GDPR, CCPA, HIPAA, and other data privacy regulations, as well as compliance best practices for AI systems.
โข Secure Data Storage and Backup Strategies: Overview of secure data storage and backup strategies for AI systems. This unit covers various data storage options, such as cloud storage, on-premises storage, and hybrid storage, as well as backup and recovery methods for protecting data in AI systems.
โข Threat Modeling and Risk Assessment: Study of threat modeling and risk assessment techniques for AI systems. This unit covers various threat modeling techniques, such as STRIDE, DREAD, and PASTA, as well as risk assessment methods, such as NIST 800-30 and OCTAVE.
โข Incident Response and Disaster Recovery: Overview of incident response and disaster recovery strategies for AI systems. This unit covers incident response planning, disaster recovery planning, and best practices for responding to security incidents in AI systems.
โข Security Best Practices for AI Algorithms: Study of security best practices for AI algorithms. This unit covers
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