Avira employs machine learning in our anti-malware SDKs to provide the most accurate local threat assessment possible. At the same time, it helps deliver one of the smallest system footprints in the cybersecurity industry. On local or network devices, Avira's MicroVisionTM and AndroidVisionTM machine learning models apply powerful analytical rules. These instantly create a risk profile for unknown files on the local platform and help decide whether further analysis is needed with the Avira Protection Cloud. It is not always possible to share suspicious files with a cloud security service for analysis.
In the modern era, each industry seems to grow with the technology that supports it. Looking to the cannabis business of today, it's amazing to see how sophisticated and modernized this once grassroots and obscure industry has become. To this end, the cannabis industry of 2019 is beginning to mirror more mainstream businesses, as well as share in the technological advancements that support them. Of the novel technologies being entertained in the cannabis space, artificial intelligence shows some promising potential on the cybersecurity front. In any U.S. state with a legal cannabis market, compliance and security are some of the most integral features of successful business operations.
Beyond Europe's AI Strategy: Global Governance for the Fourth Industrial Revolution Carolina Polito* On 19 February 2020, the European community welcomed the publication of three new documents that will drive the European Digital Agenda for the five years of the new von der Leyen's presidency. The documents are the European data strategy, the White Paper on Artificial Intelligence and the Report on Safety and Liability implications of AI, the Internet of Things and Robotics. Together, these documents offer a comprehensive overview of European priorities for the Fourth Industrial Revolution. The main objective underpinning the European data strategy, informed by the conviction that the value of data lies in its pooling and storage, is the creation of a single European data space in which information flows freely and safely. To accomplish this objective, the EU will establish mechanisms to improve how data is shared, including via common contractual obligations on presentation, so as to make it accessible across member states.
Ethics of AI: While artificial intelligence promises significant benefits, there are concerns it could make unethical decisions. Prefer to listen to this story? Here it is in audio format. Artificial intelligence (AI) is fast becoming important for accountants and businesses, and how it is used raises several ethical issues and questions. While autonomous AI algorithms teach themselves, concerns have been raised that some machine learning techniques are essentially "black boxes" that make it technically impossible to fully understand how the machine arrived at a result.
Artificial Intelligence has had its impact virtually on every industry and human being. AI is considered the main driver of emerging technologies like big data, robotics, and the Internet of Things (IoT), and will act as a technological innovator in the foreseeable future. The impact AI is having on our present lives is hard to ignore, be it in sectors such as transportation, manufacturing, healthcare, education, media, and customer service. However, AI in these sectors is all nascent, and the true self of artificial intelligence will unfold itself in the future as more and more companies are investing hard on AI technology. Companies are spending close to $20 billion on AI products and services annually.
While artificial intelligence (AI), machine learning (ML), and automated machine-driven processes are increasingly important in providing better cybersecurity, as well as fraud and risk management, in the financial services sector, Mastercard believes there will still be a place to keep a human in the loop. "We do believe that humans will continue to play an integral role," Mastercard APAC executive vice president and head of services Matthew Driver told ZDNet. "As we increase the number of areas where we apply tools, there is a need for human oversight and reviews in many stages but critically in system design and control systems." Rather than being mutually exclusive, Driver said Mastercard sees the roles of humans and the application of automated tools to be complementary. "Humans are able to make manual reviews and, with experience, can help move these decisions to rules or embed them into models. But machines cannot attribute or deduct causality, so while there will always be newer areas where we are applying AI and modelling, there is a constant need for these to have a human overlay in design and governance," he said.
Digital fraud continues to flourish, with recent surveys finding that security breaches have increased 67 percent since 2014 and 11 percent since 2018. Casualties of these breaches in the first half of 2019 alone include 4.1 billion personal records exposed in a variety of ways: 52 percent through hacking; 33 percent via phishing; and 32 percent through social engineering, with many involving more than one method. Organizations and security developers are investing billions of dollars in fighting these fraud attempts. Worldwide spending on security systems is projected to hit $131 billion by the end of 2020, and $174 billion over the next two years. Artificial intelligence (AI) and machine learning (ML) applications often form the core of these cybersecurity systems and are being deployed across banks, retailers, telecommunications companies and many other businesses.
When Darktrace launched in 2013, the world of cybersecurity was an entirely different landscape. "Today, we are used to hearing about artificial intelligence. Six years ago, the idea that you simply couldn't keep all the bad guys out and that companies needed an AI-powered digital immune system to defend against attacks was radical," Poppy Gustafsson, co-CEO of Darktrace, tells Growth Quarters. Fast-forward several years and Darktrace has become of the leading players in the cybersecurity space, in part due to Gustafsson going against the worst advice she ever received: Being told not to do something in a certain way because it went against convention. Darktrace's proprietary technology has of course played a part too.
The last 12 months has seen multiple industries put an increasing amount of emphasis on digital transformation, with more businesses beginning to experiment and deploy new smart tools and workflow solutions, which has led to faster information sharing, increased productivity and the automation of repetitive, mundane tasks. But the cybersecurity attacks that took place in 2019 have made companies reconsider their strategies with security now becoming more prominent. The last 12 months saw a number of huge high-profile hacking and cybersecurity attacks across a range of sectors, including Toyota's data breach that exposed the details of 3.1 million customers. Incidents like this have made organisations increasingly conscious about their security models, with many now looking to improve their security systems, but how can they achieve this? As companies continue to adopt smarter and integrated workflow solutions, the security of the entire system must be considered.