A new report from MIT and Deep Instinct seeks to dispel confusion in the cybersecurity market between artificial intelligence, machine learning, and deep learning and validate the efficacy of deep learning.
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Artificial Intelligence and Cybersecurity
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A key resource on artificial intelligence and cyber security, exploring how AI could transform the way digital assets can be better protected, as well as the emerging threats AI could bring and what they mean for our digital future
Curated by
JC Gaillard
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The combination of binary visualization and machine learning is a powerful technique that can provide new solutions to old problems. 
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Cybercrimes are investigated through a complex process of cyber forensics. Deep learning which is a subsidiary of AI and machine learning can be leveraged through cognitive computing techniques to reduce the complexity and enhance cyber forensics.
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Cybersecurity specialists have been expecting artificial intelligence to help defend their organizations better — and deep learning has potential.
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The considerable number of articles cover machine learning for cybersecurity and the ability to protect us from cyberattacks. Still, it’s important to scrutinize how actually Artificial Intelligence (AI),Machine Learning (ML),and Deep Learning (DL) can help in cybersecurity right now, and what this hype is all about
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Real-time identification- utilizing a deep learning prediction model- prevents known and unknown malware from causing harm
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Cyber attacks are not a new issue by any stretch of the imagination—but they are a rapidly growing threat.
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If you're a company that designs AI algorithms which are applied to critical areas of people's lives: deploy a culture of safety and security inside your AI engineering teams.
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First malware using AI-Models to evade sandboxes will be born in 2020
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Whether it is Network Security, behavioral analytics, vulnerability management or phishing detection, AI and deep learning tools are indispensable while dealing with cyber security.
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Deep learning is making waves in the community but an often overlooked aspect is using it against adversarial attacks. In this article, we explore how we can leverage it to fight off cyber attacks, and take a case study to illustrate this.
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