Cloudtidings.com

This latest innovation helps identify anomalies and extract behavioural insights for threat hunting and detection. Insights are aggregated across multiple data sources to provide a unified host or user profile.

Other innovations include:

• Integration with Azure Machine Learning Jupyter notebooks which offers a framework and cloud-scale data pipeline for ML using Azure Databricks.
• Ability to search, add and track threat indicators, and create watchlists for threat hunting and detection (e.g., restricted IPs, trusted systems, critical assets, risky users, vulnerable hosts).
• New data connectors, including for Microsoft Teams, Microsoft 365, and other clouds and data collection pipelines.