Machine Learning: Guardian of Cloud Data Protection

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Data is knowledge and knowledge is power. In the progression of digitization, the amount of data that companies process daily is growing progressively. This is also reflected in the increased use of cloud applications in recent years. Corporate data is accessible around the clock, enabling efficient workflows and, at least at first glance, less administrative operating cost for the IT department. However, for organizations, this outcome is only brought into perspective when they consider cloud usage for the security or their data.


Anti-I: The Future of AI-Generated Malware

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Humanity has been fascinated with artificial intelligence (AI) for the better part of a century -- from Aldus Huxley's "Brave New World" and Gene Roddenberry's "Star Trek" to the "Matrix" trilogy and the most recent season of "The X-Files." AI-based algorithms, specifically machine learning algorithms, enable news-curating apps such as Flipboard to deliver content to users that match their individual tastes. Reuters uses AI to review social media posts, news stories and readers' habits to generate opinion editorials. The city of Atlanta is installing smart traffic lights based on AI algorithms to help alleviate traffic congestion. AI is also being used to control street lights, automate certain elements of office buildings, automate customer service chat features and perform concierge services at hotels and offices around the world.


Utilizing Deep Learning for Cybersecurity

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Fremont, CA: Cybersecurity, otherwise known as information technology security, refers to the act of protecting the data, systems, networks, and programs from digital attacks. In the existing connected world, the necessity to secure systems is rising. It is evident from the prevailing cyberattacks in different industry sectors like health care, government agencies, education institutions, and energy. According to the UK government's Cyber Security Breaches Survey 2019, 32% of businesses have identified cybersecurity breaches or attacks in the past 12 months. Besides, with the advent of new devices that overhaul people, security risks are evolving, and cyberattackers are becoming more innovative in implementing these attacks.


How artificial intelligence and machine learning will impact cybersecurity - Malwarebytes Labs

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Artificial intelligence (AI) and machine learning (ML) are hot topics in technology. New use cases and applications are discussed daily--from search results recommendations to smart cars. But what are cybersecurity organizations doing with this tech? What does it take to render additional security out of AI? And how do AI and ML change the way we fight cybercrime?


Machine Learning - Definition - Trend Micro USA

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It uses algorithms to examine large volumes of information or training data to discover unique patterns. This system analyzes these patterns, groups them accordingly, and makes predictions. With traditional machine learning, the computer learns how to decipher information as it has been labeled by humans -- hence, machine learning is a program that learns from a model of human-labeled datasets.