While use of artificial intelligence and machine learning is high amongst IT decision makers, more than half are unsure what the technology actually means, new research has revealed. Webroot has released its annual artificial intelligence and machine learning report, which reveals how IT professionals perceive and use these advancing technologies in business. According to the research, while 93% of IT decision makers in Australia and New Zealand use artificial intelligence and machine learning, more than half (51%) admit they are unsure what the technology means. Although understanding around these tools is increasing (64% of global respondents were unsure what artificial intelligence and machine learning meant in 2020), this is happening at a significantly slower pace than the adoption rate. Webroot says this lack of understanding may be why Australia was the country where enterprises were most likely to cite struggling to keep up with the latest technology as the reason they were unable to prevent a cyberattack in the last year.

Across various applications of #AI and #MachineLearning, the problem is the same: How to pull actionable intelligence from vast amounts of data. Learn how Webroot is using AI and ML to solve #cybersecurity problems critical for #MSPs. Webroot's Grayson Milbourne, Security Intelligence Director, and George Anderson, Product Marketing Director, examine the findings of a recent survey on the knowledge gap around AI and ML among IT professionals in the U.S. and Japan. Find the full survey, Knowledge Gaps: AI and Machine Learning in Cybersecurity, at https://wbrt.io/5zcur The Webroot channel features the best education and informative videos from our subject matter experts, the first to harness the cloud and artificial intelligence to protect businesses and individuals against cyber threats.

Brian is joined by guest host Tania Sheppard, Channel Marketing Professional to discuss Artificial Intelligence and how it is used in securing networks and IoT devices with Tyler Moffitt, Sr. Threat Research Analyst with Webroot. Tyler gives us a clear perspective of Artificial Intelligence, Machine Learning and Deep Learning and how these are used in a proactive approach to securing our clients. The increased use of Polymorphism in cyber attacks dictates that traditional AV solutions simply aren't nimble enough to defend on its own. 'There simply is no such thing as a silver bullet with cyber security' states Tyler and he explains and lays out what a proper layered approach looks like when building out an effective stack for your customers.

The days of task-specific algorithms are gone. Advanced Machine learning should continuously update and retrain our models to keep up with the rapidly evolving threat landscape. It's time organizations adopt deep learning that can accurately and autonomously identify relevant patterns and concepts within continually growing amounts of telemetry. The Webroot channel features educational and informative videos from our subject matter experts, the first to harness the cloud and artificial intelligence to protect businesses and individuals against cyber threats. Look for videos on machine learning, artificial intelligence, threat intelligence, home and mobile security, endpoint protection, DNS Protection, and security awareness training--plus global threat news, life at Webroot, and more.

As an MSP, you're looking for new ways to improve services without adding overhead. The addition of providing security to your clients is an absolute necessity in today's threat landscape, but MSPs need ways to ensure the highest levels of security without draining staff and profits. So, how can artificial intelligence (AI) and machine learning (ML) help? George has spent the past 18 years in the IT Security industry. Then as Global Product Marketing lead for Clearswift and for the past 8 years he's been with Webroot in Product Marketing where he is the Product Marketing Director for their Business division, covering Endpoint, Mobile, DNS Protection and Security Awareness Training.

As an MSP, you're looking for new ways to improve services without adding overhead. The addition of providing security to your clients is an absolute necessity in today's threat landscape, but MSPs need ways to ensure the highest levels of security without draining staff and profits. So, how can artificial intelligence (AI) and machine learning (ML) help? George has spent the past 18 years in the IT Security industry. Then as Global Product Marketing lead for Clearswift and for the past 8 years he's been with Webroot in Product Marketing where he is the Product Marketing Director for their Business division, covering Endpoint, Mobile, DNS Protection and Security Awareness Training.

In this special guest feature, Hal Lonas, Chief Technology Officer at Webroot, suggests that almost every software and information product and practice are thinking not "if," but "when and how" to apply AI and ML. If they don't, the competition will pass them up or make them irrelevant soon. There are many factors that have converged to enable this leap forward – let's look at some of them. Hal Lonas is CTO at Webroot, a privately held internet security company that provides state-of-the-art, cloud-based software as a service (SaaS) solutions spanning threat intelligence, detection and remediation. Previously the Senior VP of Product Engineering for Webroot, Lonas has 25 years of experience in enterprise software and engineering.

More than 90% of cybersecurity professionals are concerned that hackers will use artificial intelligence (AI) in cyberattacks against their company that are more sophisticated and harder to detect, according to a new report from Webroot. AI has already proven to be both a benefit and a threat on the cybersecurity front: While the technology can help companies fill cybersecurity skills gaps and safeguard data, it also gives hackers a new tool for attack. In August, researchers created an AI that could modify malware to bypass machine learning antivirus software. Common cyberattacks such as phishing also become much more effective when they are powered by AI, according to ZDNet. Webroot surveyed 400 cybersecurity professionals at companies with 100 or more employees in the US and Japan.

It will come as no surprise to anyone familiar with the technology world that the rate of cyber attacks, the development of malware, and the exploitation of zero-day flaws makes is very difficult for IT teams and security specialists to keep up with let alone get ahead of cyber threats. Research from Symantec noted that nearly one million new malware threats emerge daily, and while there are many tools to make detecting rogue code an easier process, dealing with such an enormous amount of new threats appears to be an almost insurmountable task even for the best security teams and anti-virus systems. The answer to this, and the potential future of cyber security, looks to be the use of machine learning and artificial intelligence (AI) to apply clever computers and smart software to a problem that leaves humans on the back foot in the fight against hackers. Rather than sift through data harvested from across IT networks, machine learning algorithms can be trained to detect certain malware and threat signatures and proactively sniff out threats, bypassing the need for cyber security experts to disappear into a warren of file paths and scripts to find tell-tale signs of malware. Webroot is one such cyber security company applying machine learning techniques to power its threat intelligence service without requiring resource sapping and time-consuming manual processes.

It will come as no surprise to anyone familiar with the technology world that the rate of cyber attacks, the development of malware, and the exploitation of zero-day flaws makes is very difficult for IT teams and security specialists to keep up with let alone get ahead of cyber threats. Research from Symantec noted that nearly one million new malware threats emerge daily, and while there are many tools to make detecting rogue code an easier process, dealing with such an enormous amount of new threats appears to be an almost insurmountable task even for the best security teams and anti-virus systems. The answer to this, and the potential future of cyber security, looks to be the use of machine learning and artificial intelligence (AI) to apply clever computers and smart software to a problem that leaves humans on the back foot in the fight against hackers. Rather than sift through data harvested from across IT networks, machine learning algorithms can be trained to detect certain malware and threat signatures and proactively sniff out threats, bypassing the need for cyber security experts to disappear into a warren of file paths and scripts to find tell-tale signs of malware. Webroot is one such cyber security company applying machine learning techniques to power its threat intelligence service without requiring resource sapping and time-consuming manual processes.