Big Data engineering, when approached strategically, becomes a core enabler of robust data privacy and security.

Cyber insurers have become accidental catalysts for change, encouraging better data privacy practices and more robust ...

The stakes couldn’t be higher for fintech CEOs. By 2025, the average cost of a data breach is projected to rise to $5.00 million, driven by increasing complexity in cybersecurity risks and stricter ...

While enterprise AI presents opportunities to achieve business goals in a way not previously conceived, one should also understand and mitigate potential risks associated with its development and use.

Italy fined Replika $5.6 million for GDPR breaches, exposing major AI privacy risks in 2025 – data misuse, surveillance, ...

The authors explore the intersection of market manipulation regulations and the increased use of AI in trading.

FTC settles with two data brokers over unlawful sale of sensitive location data without user consent; firms must delete data, reform practices.

However, existing data sharing systems for VANETs cannot provide selective data with sufficient privacy protection. Moreover, some schemes also cannot ensure stable data accessibility and the ...

Signal's Windows desktop app now blocks Microsoft's Recall AI from screenshotting chats, citing major privacy concerns and ...

Opinions expressed are those of the author. Data privacy and data security are not interchangeable terms, though the two are connected. Bad privacy practices, for example, can lead to security ...

It makes no difference for achieving the statute’s privacy goals.” Applying this rationale, future VPPA plaintiffs will likely seek to qualify as subscribers based on their having provided data in ...

Imbalance makes it challenging for a model to distinguish between the majority and minority classes without accessing clients' local data. In this paper, we aim to tackle this problem by ...