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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 ...

From Static Controls To Adaptive Trust: Rethinking Data Security For The AI Era

To govern AI safely and keep its speed advantage, enterprises must move from static, rule-based control systems to adaptive, ...
Los Angeles Times

How Healthcare Systems Are Strengthening EHR Security

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 ...
Security

Data Centers Facing Bold Security Challenges in 2025 and Beyond

In 2025, data centers face a rapidly evolving security landscape, driven by technological advancements like artificial intelligence, cloud integration, the Internet of Things, and a rise in ...

8 fundamental AI security best practices for teams in 2026

Vanta reports on eight essential AI security best practices for organizations to mitigate risks and ensure safe AI adoption ...
Semiconductor Engineering

Secure Data Sharing Becoming Critical For Chip Manufacturing

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Why Static Data Security, Traditional DSPM Kills Your AI Strategy

In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.
Laweekly

Privacy-Preserving Machine Learning Models for Transaction Monitoring in Global Banking Networks

As financial institutions adapt to increasingly complex compliance landscapes, the intersection of artificial intelligence (AI), machine learning (ML), and data privacy has emerged as a critical ...