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Anomaly detection in machine learning: Finding outliers for optimization of business functions

IBM Big Data Hub

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

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2024 State of Cybersecurity: Reports of More Threats & Prioritization Issues

eSecurity Planet

The vendor reports analyzed trends and found: Cisco: 62% of companies highlighted external actors as the biggest threat versus 31% for internal actors; a huge shift from 2023, which saw the threats as equal. and software libraries to attack the supply chain. 60% of all mobile and browser zero-days are exploited by spyware vendors.