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Automating the fight against large-scale cyberthreats during and post-pandemic - Intelligent CIO Europe

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Artificial Intelligence and Machine Learning are important components in helping enterprises maintain organisational resilience and detect cyberthreats. Asher De Metz, Lead Senior Consultant at Sungard AS, discusses the benefits of using this technology to become more cyber-aware. The COVID-19 pandemic continues to be an immense humanitarian crisis that is severely impacting the global economy. As organisations have shifted to remote working to protect employees while continuing to serve customers, they have moved the majority of activities to the digital world – increasing the risk of cyberattacks and threatening Business Continuity. According to the World Economic Forum's COVID-19 risks outlook, employers are most worried about COVID-19 provoking a prolonged recession, followed by a surge in bankruptcies.


Boosting enterprise security with deep learning

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Businesses today continue to be bombarded by an increasing number of cyberthreats, as hackers become adept at identifying and exploiting vulnerabilities in security systems. A survey by the World Economic Forum ranked data theft and large-scale cyberattacks 4th and 5th in a list of the biggest risks facing our world. With cybercrime regularly hitting the headlines, regulators are implementing new security guidelines and costly fines for violations. Adding to the pressure are consumers who are increasingly prepared to abandon business with a company if they've been hit by a data breach. Businesses can't afford to turn a blind eye to cybersecurity, which has now become a top priority for enterprises.


Blue Hexagon Named to Forbes AI 50 List

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Deep Learning Innovator Earns Spot as One of "America's Most Promising Artificial Intelligence Companies" Blue Hexagon, a deep learning and cybersecurity pioneer, announced it has earned a spot on the coveted Forbes AI 50 list. As one of America's most promising artificial intelligence (AI) companies, Blue Hexagon is the only cybersecurity company that relies on deep learning (a subfield of artificial intelligence) 100% of the time for instant, real-time cyber threat detection. Modern malware is more adaptive than ever, and new variants are being created at a rate of more than 4 per second. The Blue Hexagon real-time deep learning platform addresses the limitations of perimeter defenses like intrusion detection systems (IDS) and sandboxes that cannot keep up with the daily onslaught of malicious malware variants. Launched in Q1 2019, the company is first to harness advanced deep learning for network threat protection and is proven to be greater than 99.5% effective in actual customer deployments in identifying attacks.


Artificial Intelligence in Cybersecurity – Current Use-Cases and Capabilities Emerj

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Raghav serves as Content Lead at Emerj, covering our major industry areas and conducting research. Raghav has a personal interest in robotics, and previously worked for research firms like Frost & Sullivan and Infiniti Research. AI has made some inroads in the cybersecurity sector and several AI vendors claim to have launched products that use AI to help safeguard against cyber threats. At Emerj, we've seen many cybersecurity vendors offering AI and machine learning-based products to help identify and deal with cyber threats. Even the Pentagon created the Joint Artificial Intelligence Center (JAIC) to upgrade to AI-enabled capabilities in their cybersecurity efforts.


If we fight cyberattacks alone, we're doomed to fail Eugene Kaspersky

The Guardian

The safety of our online lives has become increasingly important. Whether it be interference in elections, attacks by hostile forces, or online fraud, the security of the web feels fragile. Cybersecurity has reached a crossroads and we need to decide where it goes next. The outcome will touch each of us – will we pay more and yet still be less safe? Will we face higher insurance premiums and bank charges to cover the rising number of cyber-incidents?


Hot Clicks: Google's AI Can Schedule Your Hair Cut

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At Google's I/O 2018 conference, company CEO Sundar Pichai presented Google Assistant's newest feature: it can make phone calls on your behalf. On stage, he played the recording of a phone call placed by the assistant to a hair salon to schedule an appointment on a specific day, within a specific time slot. And the voice sounded completely natural and realistic, even adding "mm-hmms" and "uhms." It's called Google Duplex, and Pichai said the assistant can understand the nuances of conversation. It's something Google has been working on for many years, and while it seems like superadvanced artificial intelligence (Pichai said it can react intelligently even during an unexpected conversation), it's still under development.


Machine Learning Is Our Best Weapon Against Spiraling Cyberthreats

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The security industry is facing a perfect storm created by the combination of an acute skill shortage, an expanding attack surface and increasingly sophisticated adversaries. As a result, the tactics that have served us in the past will no longer suffice. The only way to battle these mounting threats is through collaboration and the strategic use of machine learning to transform computers into trusted allies in the battle against cyberattackers. Despite the best efforts of university and on-the-job trainers, the shortage of skilled security professionals is expected to reach 1.8 million unfilled jobs by 2022. This crisis comes just as the attack surface is expanding exponentially due to the proliferation of connected devices.



4 Ways AI Is Emerging to Save Government Billions in Hours and Dollars

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In recent years, artificial intelligence has emerged as a concept on the cusp of revolutionizing everything from medical research to workplace collaboration. And while the technology has recently begun touching into government operations in the form of chatbots, a new study finds that states and cities should begin gearing up for big changes -- and big savings -- from AI tech.


five-ways-machines-protect-your-business-from-cyberthreats

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Today, it's nearly impossible to ignore the avalanche of cybersecurity noise competing for your attention. For many of us (even those of us in the industry), just getting a grasp on the ever-expanding terminology can be frustrating. You can't help but notice the deluge of terms such as "artificial intelligence," "machine learning" and "expert systems." Simply put, these phrases refer to technologies and approaches at the core of the new cyberworld battleground. When I'm engaging with our customers or audiences during speaking sessions at industry events, they frequently ask about these confusing terms.