How to use machine learning and AI in cyber security

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Cyber criminals are constantly seeking new ways to perpetrate a breach but thanks to artificial intelligence (AI) and its subset machine learning, it's becoming possible to fight off these attacks automatically. The secret is in machine learning's ability to monitor network traffic and learn what's normal within a system, using this information to flag up any suspicious activity. As the technology's name suggests, it's able to use the vast amounts of security data collected by businesses every day to become more effective over time. At the moment, when the machine spots an anomaly, it sends an alert to a human – usually a security analyst – to decide if an action needs to be taken. But some machine learning systems are already able to respond themselves, by restricting access for certain users, for example.


Organisations turn to AI in race against cyber attackers

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Companies and public sector organisations say they have no choice but to automate their cyber defences as hacking become increasingly sophisticated. Security professionals can no longer keep pace with the volume and sophistication of attacks on computer systems. In a study of 850 security professionals across 10 countries, more than half said their organisations are overwhelmed with data. So they are turning to machine-learning technologies that can identify cyber attacks by analysing huge quantities of network data and have the potential to block attacks automatically. By 2020, two out of three companies plan to deploy cyber security defences incorporating machine learning and other forms of artificial intelligence (AI), according to the Capgemini study, Reinventing cyber security with artificial intelligence.


What's the way forward for cyber security in an increasingly complex threat landscape?

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Barry Shteiman looks at the role of machine learning in cyber security and explains that, while it is not a'silver bullet', it has a distinct role when augmented with human intelligence. Cyber criminals are launching attacks that are far more complex than those security teams faced a decade ago. Long gone are the days when straightforward attacks such as SQL injections were the only worries for security analysts. Cyber criminals are now deploying advanced attacks that may take place over months. For security analysts today, it's just as important to understand the normal behaviour of all business employees as it is to identify suspicious activity.


Q&A: The role of automation and artificial intelligence in cyber security ITProPortal.com

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With the ever increasing complexity and volume of cyber attacks, companies are increasingly turning to automated solutions and artificial intelligence in the quest for more effective protection. But how effective is an automated approach and will it become the norm in future? We spoke to Eran Barak, CEO of incident response specialist Hexadite to find out. Are we nearing the end of traditional approaches to security? Until very recently, companies have been spending their security time, resources, and dollars on products that gather information that is then handed to a person to act upon.


Why automation and artificial intelligence are essential to cyber defense [Q&A]

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With the ever increasing complexity and volume of cyber attacks, companies are increasingly turning to automated solutions and artificial intelligence in the quest for more effective protection. But how effective is an automated approach and will it become the norm in future? We spoke to Eran Barak, CEO of incident response specialist Hexadite to find out. BN: Are we nearing the end of traditional approaches to security? Until very recently, companies have been spending their security time, resources, and dollars on products that gather information that is then handed to a person to act upon.