There’s no debate — in our increasingly AI-driven, lean and data-heavy world, automating key tasks to increase effectiveness and efficiency is the ultimate name of the game.No matter what job you hold today, you’re likely being pushed to not only do more with less, but also perform your work with a tighter focus on specific outcomes and SLOs. This is certainly true of today’s … [Read more...] about Critical Automation: Anomaly Detection for Application Observability
Anomaly
Logz.io Anomaly Detection: Alerting and Auto-Visualization
Moving beyond traditional monitoring to embrace full stack observability offers a seemingly endless range of benefits. Beyond unifying logs, metrics, and traces in a single platform, the opportunity to enlist advanced analytics and engage a more predictive approach represents another huge step forward.Applying powerful machine learning and artificial intelligence to … [Read more...] about Logz.io Anomaly Detection: Alerting and Auto-Visualization
New Approach for Command Line Anomaly Detection
Suspicious command lines differ from common ones in how the executable path looks and the unusual arguments passed to them Bidirectional Encoder Representations from Transformers (BERT) embeddings can successfully be used for feature extraction for command lines Outlier detectors on top of BERT embeddings can detect anomalous command lines without the need for data labeling Our … [Read more...] about New Approach for Command Line Anomaly Detection