Operations | Monitoring | ITSM | DevOps | Cloud

Anomaly detection 101

What is anomaly detection? Anomaly detection (aka outlier analysis) is a step in data mining that identifies data points, events, and/or observations that deviate from a dataset’s normal behavior. Anomalous data can indicate critical incidents, such as a technical glitch, or potential opportunities, for instance a change in consumer behavior. Machine learning is progressively being used to automate anomaly detection.

Security misconfiguration prevention | ManageEngine Vulnerability Manager Plus

ManageEngine Vulnerability Manager Plus is a prioritization driven threat and vulnerability management solution for enterprises with built-in remediation. This video covers how you can utilize Vulnerability Manager Plus' security configuration management feature to continually detect security misconfigurations in your endpoints using a pre-defined set of baselines, and bring them back to compliance.

[Tidelift & JFrog] Best Practices For Managing Your Open Source Artifacts

Do you ever dream about having one place where you can find and store “known good” open source packages that are pre-vetted and pre-approved for use in building applications? If you ever think to yourself “there must be a better way” to manage open source components across the organization, you are in for a treat—now there is!