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The Rise Of AI & Cyber Security - 8 Must Try Tools In 2022

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AI IS ON THE RISE, AI and Machine Learning are shaping the future in Cybersecurity, hence, leading to RISE OF AI-based cybersecurity tools as a phoenix. With a recent study finding that nearly two-thirds of organizations are using or plan to use AI capabilities in their security operations by 2023. The days of deliberate, human-driven malware attacks are fading fast. We're now seeing a surge in AI-powered attacks that can bypass even the most sophisticated security defenses. No wonder, then, that the demand for artificial intelligence cybersecurity tools is also growing at an exponential rate.


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.


AI Considerations in Cyber Defence Automation

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When Apple unveiled the iPhone X, it catapulted artificial intelligence and machine learning into the limelight. Facial recognition became a mainstream reality for those who can afford it. A few months later, Vietnamese cyber security firm Bkav claimed it was able to bypass the iPhone X's Face ID using a relatively inexpensive $150 mask. The claim is still up in the air and while it has not been accepted to its full extent, no one was actually able to refute the claim based on scientific facts.


Using Artificial Intelligence in Cybersecurity

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The enterprise attack surface is massive, and continuing to grow and evolve rapidly. Depending on the size of your enterprise, there are up to several hundred billion time-varying signals that need to be analyzed to accurately calculate risk. Analyzing and improving cybersecurity posture is not a human-scale problem anymore. In response to this unprecedented challenge, Artificial Intelligence (AI) based tools for cybersecurity have emerged to help information security teams reduce breach risk and improve their security posture efficiently and effectively. AI and machine learning (ML) have become critical technologies in information security, as they are able to quickly analyze millions of events and identify many different types of threats – from malware exploiting zero-day vulnerabilities to identifying risky behavior that might lead to a phishing attack or download of malicious code.


Machine Learning for Cybersecurity 101 - DZone AI

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The considerable number of articles cover Machine Learning for cybersecurity and the ability to protect us from cyber attacks. Still, it's important to scrutinize how actually Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) can help in cybersecurity right now and what this hype is all about. First of all, I have to disappoint you. Unfortunately, Machine Learning will never be a silver bullet for cybersecurity compared to image recognition or natural language processing, two areas where Machine Learning is thriving. There will always be a man trying to find weaknesses in systems or ML algorithms and to bypass security mechanisms. What's worse, now hackers are able to use Machine Learning to carry out all their nefarious endeavors.