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.
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.
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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.
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.
The annual Infosecurity Europe conference this year returned to London. Here are visual highlights from the event, which featured over 240 sessions and more than 400 exhibitors, 19,500 attendees and keynotes covering data breaches, darknets, new regulations and more.
Carelessness, a lack of security awareness, unclear data ownership and poor toolsets are root causes of insider breaches, says Tony Pepper, CEO of Egress, which recently surveyed CISOs and employees to trace the cause of insider breaches resulting from both intentional and unintentional loss.
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works...
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