Tokenization is emerging as a cornerstone of modern data security, helping businesses separate the value of their data from its risk. During this VB in Conversation, Ravi Raghu, president, Capital One ...

The Cupertino, Calif.-based company launched this month with a virtual appliance that can be used on-premise or in the cloud to encrypt sensitive data before it reaches the cloud. And unlike other ...

Over the last few months, the PCI Knowledge Base has been doing research on the impact of PCI compliance on fraud and fraud management for the Merchant Risk Council. One of the things we’ve learned is ...

Data breaches are expensive-they cost an average of $6.75 million per incident, according to one study. One way to reduce the risk is to cut down on the places that handle sensitive data. Enter ...

Companies can’t maximize the value of their data without strong data security. Data breaches are becoming more common each year, and every company is looking to deploy AI—making it even more critical ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Fortanix® Inc., a leader in data security and pioneer of Confidential Computing, today announced Key Insight, a new industry-first capability in the Fortanix Data ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Fortanix® Inc., a global leader in data security for an AI world, and BigID, the leading platform for data security, privacy, compliance, and AI governance, today ...

In 2014, Visa introduced its tokenization service, allowing customers to pay for goods and services without giving away their credit card details. A decade later, the shift to tokenization has become ...

Mobile micropayments have become an essential part of our daily lives. Whether paying for a coffee, subscribing to a digital service, or making in-app purchases, small digital transactions are now ...

Fortanix Inc., a leader in data-first cybersecurity and pioneer of Confidential Computing, is debuting File System Encryption, a new enhancement to Fortanix Data Security Manager (DSM) that enables ...

Among the many concerns that enterprises have when adopting generative AI, data privacy comes high on the list. Whether they're using third-party Large Language Models (LLMs) or building their own, ...