How Is Machine Learning Used for Cybersecurity?

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The interconnectedness of technology, coupled with the growing number of mobile devices, quickly evolving technologies, and more prominent use of Wi-Fi has resulted in a severe uptick of cyber attacks. To ward off impending threats, we're increasingly turning to machine learning for help. Machine learning has the potential to offer better, more efficient solutions than what's currently available on the market to prevent cybercrime. In this article, we'll give a deep-dive into how machine learning is currently improving cybersecurity. Machine learning can be used to monitor and detect breaches in a certain network, and can also help generate an automated response to an attack.


How AI Is Changing the Cybersecurity Landscape - ITChronicles

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Artificial intelligence (AI) is proving to be one of the most influential and game-changing technology advancements in the business world. As more and more enterprises go digital, companies all over the globe are constantly engineering new ways to implement AI-based functions into practically every platform and software tool at their disposal. It should come as no surprise, then, that AI is affecting cybersecurity – but it's affecting it in both positive and negative ways. Cybercrime is a massively lucrative business, and one the greatest threats to every company in the world. Cybersecurity Ventures' Official 2019 Annual Cybercrime Report predicts cybercrime will cost the world $6 trillion annually by 2021 – up from $3 trillion in 2015.


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.


Role of Artificial Intelligence in Strengthening Cybersecurity - Artificial Intelligence Development Company AI Development Services

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From email correspondence and financial transactions to professional networking, technology plays a critical role in business operations. Unfortunately, our adoption of technology is subject to overcoming security challenges. An increasing number of cyber-attacks indicate that several businesses lack adequate protection against online threats. According to IBM, the average cost of a cybersecurity breach has been increasing and is now at $3,860,000. The company also estimates that the cost of each stolen record that has sensitive information in 2018 was $148.


Humans vs. Machines: AI and Machine Learning in Cybersecurity CDOTrends

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Artificial Intelligence (AI) is at the frontier of a new techno-tsunami that is transforming the way we live and work. "Historically, an AV researcher might see 10,000 viruses in a career. Today there are over 700,000 per day," said Ryan Permeh, chief scientist, Cylance. Could AI be the solution to solving the big data problem, and bridging the widening workforce gap in the Cyber Security industry? Intelligent machines now have the power to make observations, understand requests, reason, draw data correlations, and derive conclusions.