Cyberwarfare


3 Ways Artificial Intelligence Can Improve Campus Cybersecurity

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While there's no replacement for the human factor in security, universities can benefit from the amplification and efficiency AI brings to cyberdefense.


How artificial intelligence is being applied to cannabis security

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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.


Mastercard keeping humans in the loop of AI fraud and risk-related decisions ZDNet

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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.


Darktrace's co-CEO on trusting AI to fight cyberattacks on our behalf

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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.


With cyberattacks becoming more common security now needs to take priority

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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.


With cyberattacks becoming more common security now needs to take priority

#artificialintelligence

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.


AI, the Future of Cybersecurity

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Even then, in these times of heightened data usage and privacy regulations, it may not always be possible to let algorithms loose across a company's data assets. It is extremely important to ensure that all the right consents and controls are in place. This requires a high degree of data maturity as it involves a diverse variety of datasets, each with its own set of rules and principles. Organisations then need to create an integrated data platform that can connect these data sources to AI algorithms.


Cybersecurity Powered by AI Technology

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When people started doing more and more things on the internet, cyber safety became a must, especially when money was involved. There are thousands of threats awaiting you on the website, and they might cost you more than nerves. That's why cybersecurity is of extreme importance. Currently, people are using various protection layers, for instance, antivirus and antimalware programs, VPN's, multi-factor authentication, and so on. Unfortunately, the amount of cyberattacks is not decreasing.


Singapore's Cybersecurity Ecosystem

Communications of the ACM

A successful digital economy requires cybersecurity to be a vital enabler, protecting the interests of individuals and businesses and enabling the resilience of businesses and services. Since 2013, Singapore's medium- to long-term directions for cybersecurity is to develop R&D expertise and capabilities to improve the trustworthiness of cyber infrastructures and systems with an emphasis on security, reliability, resilience, and usability among government agencies, academia, and industry. Various initiatives to support research, innovation, and enterprise have been implemented under the Whole-of-Government National Cybersecurity R&D (NCR) Programme.8 The program supports a synergistic range of initiatives to advance technological state-of-the-art in thematic National Satellites of Excellence in universities, grants for local research projects, international research collaborations, and joint technology developments with industry. Innovation is fostered through cross-sector R&D discussions and partnerships and fast-tracked by national testbeds for safe and repeatable cybersecurity experiments.


Research Finds Supercharged AI Cyberattacks are Unavoidable

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New research from AI cybersecurity firm Darktrace revealed that most security leaders are preparing for AI-powered cyberattacks. According to the research paper titled, "The Emergence Of Offensive AI," conducted by Forrester Consulting on behalf of Darktrace, 88% of decision makers in the security industry believe offensive AI is inevitable, with 50% of them expecting the industry to see these attacks in coming years. The research also highlighted that 77% of respondents expect weaponized AI to lead to an increase in the scale of cyberattacks, while 66% of them felt that it would lead to new attacks. Over 80% of security decision-makers opined that organizations require advanced cybersecurity defenses to combat offensive AI, and 75% of security leaders are concerned over business disruption. The findings are based on the responses from security leaders across different industries, including retail, financial services, and manufacturing sectors.