Machine learning has infiltrated the world of security tooling over the last five years. That’s part of a broader shift in the overall software market, where seemingly every product is claiming to have some level of machine learning. You almost have to if you want your product to be considered a modern software solution.This is particularly true in the security industry, where … [Read more...] about Debunking 4 Cybersecurity Myths About Machine Learning
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New Framework Released to Protect Machine Learning Systems From Adversarial Attacks
Microsoft, in collaboration with MITRE, IBM, NVIDIA, and Bosch, has released a new open framework that aims to help security analysts detect, respond to, and remediate adversarial attacks against machine learning (ML) systems. Called the Adversarial ML Threat Matrix, the initiative is an attempt to organize the different techniques employed by malicious adversaries in … [Read more...] about New Framework Released to Protect Machine Learning Systems From Adversarial Attacks
Learn Machine Learning and AI – Online Training Program @ 93% OFF
Within the next decade, artificial intelligence is likely to play a significant role in our everyday lives. Machine learning already powers image recognition, self-driving cars, and Netflix recommendations.For any aspiring developer, learning how to code smart software is a good move. These skills are highly valued in tech, finance, sales, marketing, and many other sectors.The … [Read more...] about Learn Machine Learning and AI – Online Training Program @ 93% OFF
How CrowdStrike Enhances Machine Learning with SHAP
At CrowdStrike®, machine learning is a major tool for detecting new malware families and keeping our customers safe. We utilize gradient boosted trees with thousands of features to classify whether a file sample is labeled as malware or clean. This model provides a lot of predictive power, leading to a high level of accuracy, but as a tradeoff, it is challenging to comprehend … [Read more...] about How CrowdStrike Enhances Machine Learning with SHAP