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By 2025 workforce most likely to consist of humans and bots

The workforce, workplace, and the technologies that support them will be so different by 2025 that enterprises need to provide global access and ensure continuous uptime now. …

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Detecting Trojan attacks against deep neural networks

A group of researchers with CSIRO’s Data61, the digital innovation arm of Australia’s national science agency, have been working on a system for run time detection of trojan …

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Machine learning fundamentals: What cybersecurity professionals need to know

In this Help Net Security podcast, Chris Morales, Head of Security Analytics at Vectra, talks about machine learning fundamentals, and illustrates what cybersecurity …

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Machine learning trumps AI for security analysts

Machine learning is currently one of the biggest buzzwords in cybersecurity and the tech industry in general, but the phrase is often overused and misapplied, leaving many …

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Insight into the growing problem of highly sophisticated fraud

Sophisticated fraud campaigns are beginning to outwit machine learning solutions especially the ones that only detect known fraud patterns based on historic loss experience, …

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Deception technology: Authenticity and why it matters

This article is the second in a five-part series being developed by Dr. Edward Amoroso in conjunction with the deception technology team from Attivo Networks. The article …

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An introduction to deception technology

This article is first in a five-part series being developed by Dr. Edward Amoroso in conjunction with the deception technology team from Attivo Networks. The article provides …

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Where should companies focus as they begin their machine learning journey?

As machine learning has become more widely adopted across industries, O’Reilly set out to learn more about how companies approach this work. By surveying more than 11,000 data …

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Most IT decision makers believe AI is the silver bullet to cybersecurity challenges

New research from ESET reveals that three in four IT decision makers (75%) believe that AI and ML are the silver bullet to solving their cybersecurity challenges. In the past …

Black Hat
Three security trends to watch for at Black Hat USA 2018

Thus far in 2018, organizations and individuals worldwide have experienced a large number of high profile cyber attacks, with criminals stealing billions of dollars as well as …

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Combating fraud and money laundering with graph analytics

Dirty money and money laundering have been around since the existence of currency itself. On a global level, as much as $2 trillion is washed annually, estimates the United …

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Do young people hold the key to closing the cybersecurity talent gap?

The cybersecurity talent shortage is a frequently talked about. Even with the attention, the future still holds more job openings than qualified employees available to fill …

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