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Machine Learning in Security: 4 Factors to Consider

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There's a good chance you've considered the implications of machine learning for your security team. As data increases, the skill gap widens, and hackers' strategies get more complex, businesses struggle to detect and address cyberattacks. Machine learning enables behavioral analytics and cognitive security to detonate attachments before they arrive in someone's inbox, or correlate types of activity across a network of thousands of users. The ability to stop attacks before they occur is powerful, but how should security leaders start the process of making their systems smarter with machine learning? Avnet CISO Sean Valcamp advises perfecting your security posture first.


Machine Learning in Security: 4 Factors to Consider

#artificialintelligence

There's a good chance you've considered the implications of machine learning for your security team. As data increases, the skill gap widens, and hackers' strategies get more complex, businesses struggle to detect and address cyberattacks. Machine learning enables behavioral analytics and cognitive security to detonate attachments before they arrive in someone's inbox, or correlate types of activity across a network of thousands of users. The ability to stop attacks before they occur is powerful, but how should security leaders start the process of making their systems smarter with machine learning? Avnet CISO Sean Valcamp advises perfecting your security posture first.


AI, Machine Learning to Reach $47 Billion by 2020

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According to the IBM Institute of Business Value (IBV), cognitive solutions are already seeing widespread adoption in other industries. Yet the security community is still in the early stages of pioneering cognitive security systems. Today, only 7% of security professionals claim to be using cognitive technologies--and a lack of internal skills in the area and competency are the main obstacles, both cited by 45% of respondents. That said, 21% said their organizations plan to use these solutions in the next two to three years--meaning that the use of cognitive security is set to triple within the next few years. Ironically, the staffing challenge is also a driver: "The 24/7 nature of security operations presents a challenge that is costly for most organizations to staff, which is where the appeal of cognitive-enabled security comes in--it never sleeps or fatigues," said Michael Pinch, CISO, University of Rochester, in the report.


Cognitive Security Seen as Filling Cyber Gaps - The MSP Hub

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Along with growing cyber threats and the need to respond in real time, the sheer volume of information that must be parsed is fueling the requirement for automating the sifting of threat data. Hence, "cognitive security" specialists such as Cisco Systems and IBM are promoting threat analytics approaches designed to respond to cyber attacks as they unfold. Among other scenarios, cognitive threat analysis scans web traffic for malware and botnets to pinpoint and isolate attacks on network command and control infrastructure in real time. Cisco Systems (NASDAQ: CSCO), which has been acquiring cognitive security expertise over the last several years, is taking a networking approach to emerging security threats. Meanwhile, IBM (NYSE: IBM) is emphasizing cognitive security as a way of leveraging artificial intelligence and machine learning as tools for automating threat detection.


Giving cyber security a voice: IBM's Watson - Information Age

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Watson, IBM's AI supercomputer, now has the ability to investigate security events and create new services for building cognitive security operation centres. And it now has the capability to allow customers and analysts to interact with Watson through voice and chat regarding cyber security concerns. According to IBM, Watson can now help security analysts parse thousands of natural language research reports that have never before been accessible to modern security tools. For the past year, Watson has been trained on the language of cyber security with over one million security documents, and has been tested with over 40 clients and channel partners including the Ireland based partner Smarttech and Avnet. IBM claims it is the industry's first augmented intelligence technology designed to power cognitive security operations centers (SOCs).