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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
Explore how Veerendra Nath transforms healthcare data systems with federated architectures, enhancing patient outcomes and ...
Human Identities the Key to Unlocking Data Security with Agentic AI? Where data security is paramount, many organizations grapple with the potential vulnerabilities that Agentic AI might introduce if ...
Role-based access control (RBAC) restricts access to patient data based on job responsibilities, reducing risk. Encryption methods like symmetric and asymmetric key schemes safeguard sensitive health ...
Federal agencies are navigating an unprecedented era of data growth. From national security to public health and beyond, data fuels critical decisions and operational effectiveness. Yet, many agencies ...
Together, they create an infrastructure layer designed for a world where attacks are automated, data is abundant and digital ...
In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.
Vanta reports on eight essential AI security best practices for organizations to mitigate risks and ensure safe AI adoption ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
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