Knowledge Graph Security

Knowledge Graph Security refers to the practices and technologies employed to protect the integrity, confidentiality, and availability of knowledge graphs. These structured representations of knowledge, which connect entities and their relationships, are vital for applications in data management, artificial intelligence, and machine learning. Effective Knowledge Graph Security measures include access controls, encryption, monitoring, and threat detection to safeguard against data breaches, unauthorized access, and manipulation. By ensuring the security of knowledge graphs, organizations can enhance data reliability, improve decision-making, and maintain compliance with data protection regulations.

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