AI

The capability of a computer system to imitate human intelligence. Using math and logic, the computer system simulates the reasoning that humans use to learn from new information and make decisions.  

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CyberDecoded: AI vs Cybersecurity

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FAQ

AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behavior, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly.

Is an AI-powered malware. DeepLocker was developed as a proof of concept by IBM Research in order to understand how several AI and malware techniques already being seen in the wild could be combined to create a highly evasive new breed of malware, which conceals its malicious intent until it reached a specific victim. It achieves this by using a Deep Neural Network (DNN) AI-model to hide its attack payload in benign carrier applications, while the payload will only be unlocked if—and only if —the intended target is reached.

This method can be either supervised or unsupervised. In either case, it requires an analysis of big data. Deep learning uses neural networks and requires a large amount of computing power. One application of deep learning is image recognition.

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DEFINITIONS

Neural fuzzing

Occurs when adversaries train an AI model on inaccurate, mislabeled data. This model poisoning can then lead an AI algorithm to make mistakes and misclassifications later on, even if an adversary does not have access to directly manipulate the inputs it receives.

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