Analytics, artificial intelligence and machine learning are increasingly playing promising roles in healthcare data security, say Ron Mehring, CISO at Texas Health Resources, a large delivery system, and Axel Wirth of Symantec, a technology vendor. They were featured speakers at the HIMSS19 conference.
Fraud incidents and losses have remained steady or increased in the past year, according to ISMG's latest Faces of Fraud Survey. And the biggest fault of banking institutions' current anti-fraud controls: They rely too much on manual processes. Mike Lopez of survey sponsor Cyxtera Technologies analyzes the results and...
For decades, IT professionals have been fighting malware, hackers, and other threats. Data protection, confidentiality, integrity and availability have long been threatened not only by amateur hackers, but by profit-oriented, well-organised criminals. Victims can usually only react because many of the usual methods...
Around the world, many CIOs at various levels of governments expect an increase in cybersecurity spending in 2019, according to new research from Gartner. Alia Mendonsa, co-author of the report, analyzes the results of a global survey.
The data being used to drive effective anti-fraud efforts can be rich in context and useful for other activities. Jim Apger of Splunk describes emerging fraud schemes and solutions, highlighting the role of machine learning.
The marketers would have us believe that machine learning and behavioral analytics are the keys to unlocking the future of healthcare information security. But Vikrant Arora, CISO of the Hospital for Special Surgery in New York, offers a more practical outlook.
The easy availability of tools for designing face-swapping deep-fake videos drove Symantec security researchers Vijay Thaware and Niranjan Agnihotri to design a tool for spotting deep fakes, which they described in a briefing at the Black Hat Europe 2018 conference in London.
Artificial intelligence and machine learning get all the marketing buzz, but First Data's Jaclyn Blumenfeld cites examples of use cases where these emerging technologies are actually transforming security and fraud management.
While unsupervised machine learning techniques get away from the data labeling and classification that most supervised systems require, they are dependent on the quality and variety of the data provided, says Gartner's Jonathan Care.
Identity and access management is not about compliance anymore - It's really about security, says Gartner's Felix Gaehtgens. With cloud, virtualization, DevOps and other IT trends, IAM has evolved from being a one-off project to an ongoing initiative.