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Machine learning is critical to the future of cybersecurity and helping security teams overcome the challenges of modern cybersecurity attacks. Indeed, its ability to'outthink' humans can boost return on investment (ROI), drastically improve productivity and minimise resource expenditure. However, machine learning is also not just a'set and forget' solution. In fact, companies need to treat machine like an intern on their first day. Security teams should not assume a machine learning programme can hit the ground running – there needs to be an onboarding process where you check in on the models frequently and spend time getting them started in the right direction.


Why security teams should treat machine learning like a junior employee

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Machine learning is critical to the future of cybersecurity and helping security teams overcome the challenges of modern cybersecurity attacks. Indeed, its ability to'outthink' humans can boost return on investment (ROI), drastically improve productivity and minimise resource expenditure. However, machine learning is also not just a'set and forget' solution. In fact, companies need to treat machine like an intern on their first day. Security teams should not assume a machine learning programme can hit the ground running – there needs to be an onboarding process where you check in on the models frequently and spend time getting them started in the right direction.


How can machine learning complement your existing security solutions?

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Despite the prevalence of the technologies, a degree of confusion remains around the difference between machine learning (ML) and artificial intelligence (AI). The distinction lies in the fact that machine learning is the practical implementation of artificial intelligence – the use of algorithms to analyse volumes of quantitative and qualitative data, establishing findings and making statistical inferences based on analyzed data. From a cybersecurity perspective, this process is focussed on accurately and efficiently identifying zero-day, unknown threats at the earliest possible opportunity – and at a stage before that which traditional static or behavioral analysis would permit. But machine learning algorithms are not infallible, and should not be treated as such. That said, they can certainly offer a significant boost to security tools, by enabling them to operate proactively as well as reactively when undertaking functions such as anti-malware, anti-spam, anti-fraud and anti-phishing detection.


Comcast Business launches analytics for SmartOffice video, motion detection

ZDNet

Comcast Business has rolled out analytics for the video monitoring within its SmartOffice service. The feature, Smart Office Motion Insights, takes video footage from cameras and motion detection to help small and medium sized businesses optimize settings. For instance, businesses can adjust staffing based on foot traffic and times of day. Comcast's effort is the latest example of how analytics is being combined with physical space monitoring to optmize workspaces and the smart office. Comcast Business is one of the media and cable giant's fastest growing units.


This former Google X engineer wants to put a robot security guard in every office

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A start-up called Cobalt Robotics is making roving security robots for use in commercial buildings -- whether that's an office, data center or a hospital. The robot could help companies save money on human security guards: businesses spent almost $68 billion on physical security in 2016, according to industry research by Stratistics MRC. That number is expected to surpass $125 billion by 2022, with a hefty chunk of spending going to human security guards indoors. CNBC caught up with Cobalt Robotics CEO and co-founder Travis Deyle to see the machines in action at Fuseproject, the design studio of Yves Behar. Fuseproject helped create the look and feel of the Cobalt, which is more like consumer hardware than a piece of office equipment.


FACTORS THAT THREATEN JOB SECURITY AND THEIR SOLUTIONS DISCUSSED

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Nevertheless, job security is one of the most pestering thoughts to be had by the people of the present world. The fact is that the jobs are constantly under threat from a range of sources. As time advances, and technology turns increasingly fine-tuned as well as widespread, the hidden arm of the market is all set to have more of those drastic deck reshuffles in the post-globalization economy leaving many a youngster wondering if he will still have a job the year ahead. Recently the Indian government has brought forth a controversial decision to extend to all sectors, the facility of hiring employees based on fixed-term employment. Although the government has decided on this development seeing it as a potential factor that would promote the ease of doing business, the opposing trade unions view it as paving way for turning permanent employees to contract workers on a fixed term.


How Artificial Intelligence Will Help The Physical Security Industry Sonitrol Security

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Over the past few weeks, we have been discussing the future of business security and current trends in the security industry. This week, we want to go more in-depth and take a look at how Artificial Intelligence (AI) is currently affecting the industry and how it will shape the future of the security industry. We briefly mentioned AI earlier this month in our blog on the Latest Security Topics and Trends, but you might not know the unique history behind the phenomenon, which dates all the way back to the 1940's. The technology has great potential to disrupt every industry, including business security. World War ll brought together many brilliant minds.


Machine Learning: Security Product or Feature?

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Since then, big data security analytics sort of morphed into machine learning, which led to the creation of a new security technology category, user and entity behavior analytics (UEBA). UEBA was designed to monitor user behaviors like logins, remote access, network connections, etc., model "normal" behavior, and then detect anomalies that may indicate an attack in progress. UEBA proponents claimed that based upon this new capacity, new machine learning-based technology was destined to become a huge market as it replaced SIEM as the system of record for security analytics and operations.


Human security teams can't manage the new threat landscape alone IDG Connect

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Our IT teams today are tackling a security threat that stretches from the data center to the edge, can be carried by millions of connected devices, and is changing shape every day. The devices that we choose to work on, the locations that we work in, the people that we are collaborating with, the applications we choose to use – these are all constantly in flux. When things change, security teams have to readjust policies and controls. Isn't it a big ask to expect them to keep chasing after us, all day, every day? No CIO can ignore the high-profile attacks that continue to threaten organizational reputations around the world.


AI that studies CCTV to predict crime will be rolled out in India

Daily Mail

AI that could thwart illegal activity by identifying criminals before they act is set to be rolled out in India. The aim of the Minority Report-style CCTV surveillance system is to prevent offences such as sexual assault by looking at the body language of people to predict what they are about to do. An Israeli security and AI research company will soon use AI to analyse the terabytes of data streamed from CCTV cameras in public areas in India. Crime-predicting AI that could thwart illegal activity by identifying it before it happens is rolling out in India. The partnership has been formed between Tel Aviv-based company Cortica Best Group in India, according to Digital Trends.