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...
As email threats become more advanced, machine learning is being used to detect these attacks. Learn the latest about machine learning & how it is changing the threat landscape.
Join this session to discuss:
How machine learning is being used to detect threats
Latest advancements in machine learning for cyber...
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.
Health organizations face a wide range of new cyber security threats like crypto-jacking and IoT vulnerabilities while still facing the heavy load of compliance and basic security blocking and tackling. Security requires an end to end framework based approach to manage well against a constantly evolving threat...
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.
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.
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