The news that serial entrepreneur Elon Musk and scientists have unveiled Neuralink - a neuroscience startup that's been in stealth mode for two years and aims to create a new computer/brain interface - might make you ask: What took him so long? Before signing up, just make sure it's immune to ransomware.
Join a behind the scenes tour of the largest anti-fraud provider research operation. We will discuss how to interlace Machine Learning, cyber threat intelligence, and fraud analysis into agile and accurate fraud prevention.
Taking a use case approach, we will demo a behavioral biometrics detection technology and...
AI will enable breakthrough advances in areas like healthcare, agriculture, education and transportation; it's already happening in many ways. But new technology also inevitably raises complex questions and broad societal concerns. As we look to a future powered by a partnership between computers and humans, it's...
Developing robust and resilient machine learning models requires diversity in the teams working on the models as well as in the datasets used to train the models, says Microsoft's Diana Kelley.
It's difficult to build a reliable security system based on artificial intelligence and machine learning, says Aleksandr Lazarenko of Group-IB, who offers insights on how to make the most of these technologies.
By providing a dynamic, real-time view of the actual risk of a data breach, machine learning takes data security to the next level, reducing friction for senders and recipients, and ultimately promotes adoption for an improved security posture.
Download this white paper and learn how risk-based protection and smart...
JPMorgan Chase researchers have published a new paper describing their efforts at developing a novel "early warning" system based on artificial intelligence algorithms that can detect malware, Trojans and other advanced persistent threats before the phishing campaign that targets the bank's employees even starts.
George Orwell's "1984" posited a world in which Big Brother monitored us constantly via "telescreens." But thanks to our "smart" AI home assistants - from Google, Amazon and others - we're increasingly installing the monitoring equipment ourselves, and it may "hear" much more than we realize.
Enterprises need to consider ethical guidelines when creating new types of artificial intelligence and machine learning, says Diana Kelley of Microsoft, who explains how companies can create responsible new technologies.
The latest edition of the ISMG Security Report analyzes the security and privacy implications of Facebook's new digital currency - Libra. Also featured: Discussions on the rise of machine learning and IT and OT collaboration on cybersecurity.
Digital transformation has propelled a wave of new technological advancement that has arguably enriched people's lives. By the same token, the proliferation of machines - physical, virtual and in the cloud - has posed many security challenges and threats across industries, banking being the most noteworthy. As this...
Why does everyone keep mislabeling machine learning - a proven technique for helping organizations to improve their security posture - as artificial intelligence? "I'm so tired of the AI buzzword bingo," says John Matthews, CIO of ExtraHop Networks.
After years of organizations being stuck in a reactive security posture, proactive prevention is finally possible thanks to machine learning backed by AI math models, says BlackBerry Cylance's John McClurg.
Artificial Intelligence is coming of age as a key tool in the security analyst's arsenal, says David Atkinson, founder and CEO of Senseon, who highlights key benefits of the technology.
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