As the use of artificial intelligence tools and robotics continues to grow, it's crucial for organizations to assess the potential security risks posed, says attorney Stephen Wu, who reviews key issues in an interview.
Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business.
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Security practitioners should strive to offer their organizations "frictionless" security that's truly a business enabler, says Sridhar Govardhan, newly appointed CISO of Wipro Ltd., a Bengaluru-based company offering information technology, consulting and business process services.
Improved integration, automation and orchestration are needed to better detect and respond to evolving cyberthreats, says John Maynard, vice president and global security specialist at Cisco Systems.
Today's sophisticated attacks routinely evade conventional after-the- fact technologies such as firewalls and signature-based malware detection.
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To stop command-and- control infiltration before it can do real harm;
A predictive IT strategy can help you prevent attacks...
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.
Although machine learning and artificial intelligence help in an incident response plan, companies must avoid excessive dependence on them, says Venkata Satish Guttula, director of security at Rediff.com.
Aite Group's Shirley Inscoe predicts that more banks will implement robotic process automation in 2019 to make fraud investigations more efficient. She explains how the technology can help.
Cybersecurity is one of the most understaffed industries in the world with unfilled cybersecurity positions to be about 1.5 million by the year 2020. Help is needed to make the current security professionals more efficient and augment their intelligence. This assistance is coming from AI.
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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...
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...
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 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.
Using machine learning to classify known malicious and benign activity, while humans focus on the grey areas, is the most effective combination for tackling today's threat landscape of constantly evolving cyberattacks.
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Limitations of AI and machine-learning solutions as...
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