Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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Cyber Security Firms Turn To Artificial Intelligence As Hacking Threats Rise

Nov 26, 2017 | 4269 Views

Machine learning can be used to detect suspicious behaviour and minimise threats to cyber networks.

Cybersecurity companies are turning to artificial intelligence and machine learning tools to ward off growing number of attacks on networks, Finland-based internet security firm F-Secure said.

As the world is fast moving towards Internet of Things and connected devices, deployment of artificial intelligence (AI) has become inevitable for cybersecurity firms to analyse the huge amount of data to save networks from infiltration attempts, F-Secure's Security Advisor Sean Sullivan said. Networks are persistently exposed to threats like malware, phishing, password breaches and denial of service attacks.

On a daily basis, F-Secure Labs on an average receives sample data of 500,000 files from its customers that include 10,000 malware variants and 60,000 malicious URLs for analysis and protection, Sullivan said.  

For humans, it is a big task to go through such huge amount of data and machine learning tools and AI are lending a helping hand at this stage, he said.

Machine learning can be used to train logic designed to detect suspiciousness based on the structure of a file or its behaviour or both, another Security Advisor Andy Patel said.

Sullivan said any abnormal behaviour of a file is flagged by AI which helps in detecting threats at an early stage without much damage being done to the network.

Patel claimed behaviour models enable them to take preemptive steps to save their customers from ransomware attacks like 'Locky'.

When asked if machine tools and AI can make people's jobs in cybersecurity redundant, Patel said it is unlikely as attacks through malware are designed by humans who think creatively to bypass automated security solutions. So, there is a need for humans who can think creatively to defend networks from such attacks.

He also said AI and machine learning are at an evolving stage and there is a long way to go for widespread adoption of such tools in cybersecurity as only big players at present can afford building such systems and improving them every day.

Source: NDTV
Nand Kishor Contributor

Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...

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Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...

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