Data classification takes on even greater importance today in the context of regulatory compliance mandates and debates over data privacy. Here's what you need to know.
Organizations looking to invest in enterprise blockchains to unify and secure transactions and data records should do their homework before trusting a vendor with their most sensitive information.
Despite the risks quantum computing might pose to organizations, this emerging technology also promises to enhance cybersecurity capabilities such as SIEM, incident response and data protection.
A July 2018 threat report from IBM X-Force Exchange revealed that threat group Magecart exploited unsecured third-party access to steal credit card details from Ticketmaster customers.
A recent ransomware attack against a Missouri hospital showed that healthcare organizations are still under threat despite an overall decline in campaigns across industries.
Data monetization and the digital transformation have forced organizations to navigate the new world of business ethics and security practices.
Recent research has shown that while consumers are demanding more transparency around information handling, few companies are doing enough to communicate with their customers about data privacy.
Many consumers are willing to volunteer their personal information for the sake of convenience, but it's important to understand that data privacy affects not only individuals but entire communities.
As the threat landscape expands — and IT skills grow increasingly scarce — many security leaders don't know how to get the most out of their security information and event management (SIEM) solution.
New privacy regulations in California, the U.K. and other areas are adding to the number of frameworks CISOs say they have to study to make the best internal budgetary decisions.