This represents a 50% jump from its $6 billion valuation achieved seven months ago, signaling investor confidence in AI ...
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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 ...
According to Boston Consulting Group, almost 80% of companies either use agentic AI or have plans to implement it soon, but ...
NordVPN, which has a 17% VPN market share in the U.S., has issued a security update following claims of a hack attack and ...
As the federal government races toward the fiscal 2027 deadline for advanced zero-trust implementation, agencies continue to struggle with one of its key pillars: to fully secure data in an ...
The threats to your company’s data are many and varied, and so are the techniques for keeping that data safe and secure. Creating a secure application requires many safeguards, but by far the most ...
Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...
In the rapidly evolving landscape of fintech, data security has become paramount. The financial sector is particularly vulnerable to breaches, given the sensitive nature of the information it handles.
Tips and tricks for securing data when migrating to the cloud Your email has been sent Find out how you can have a safe and secure transition to the cloud. This guide describes tips and steps to take ...
It’s no secret that the need for organizations to be “data-driven” is more critical than ever in today’s fast-paced business environment. Having effective data analytics processes can help enhance a ...
The state of encryption in healthcare data privacy is evolving, but there is still room for improvement. Healthcare providers and organizations recognize the importance of encryption to protect ...
The challenges of legacy data warehouses and traditional business intelligence systems have been well-documented. Built on rigid infrastructure and managed by specialized gatekeepers, data warehouses ...
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