How deeply does Azure Security cover adaptive application control?

Explains machine-learning observation and allow-list creation but does not detail configuration or enforcement mechanics.

Adaptive application control

As explained in Azure Security

Adaptive application control uses observed application execution and machine learning to define and enforce an allow list of permitted applications.

Adaptive application control uses machine learning to observe which applications run on machines, establish an allow list of safe applications, and enforce that permitted set. It helps reduce the risk of unauthorized or malicious software executing on Azure virtual machines. section 7.2.1

Table 7.1 Comparison of Defender for Servers plans (view table figure)

Defender for Servers plan 1	Defender for Servers plan 2
Microsoft Defender for Endpoint Microsoft Defender Vulnerability Management Auto-provisioning	Microsoft Defender for Endpoint Microsoft Defender Vulnerability Management Auto-provisioning Agentless vulnerability scanning for machines Just-in-time VM access for machine ports Adaptive application control File integrity monitoring Adaptive network hardening Network layer threat detections Integrated vulnerability assessment powered by Qualys Log Analytics 500 MB free data ingestion

Defender for Servers plan 1

Defender for Servers plan 2

Microsoft Defender for Endpoint

Microsoft Defender Vulnerability Management

Auto-provisioning

Microsoft Defender for Endpoint

Microsoft Defender Vulnerability Management

Auto-provisioning

Agentless vulnerability scanning for machines

Just-in-time VM access for machine ports

Adaptive application control

File integrity monitoring

Adaptive network hardening

Network layer threat detections

Integrated vulnerability assessment powered by Qualys

Log Analytics 500 MB free data ingestion

Compare Defender for Servers plans to identify where adaptive application control is included alongside other layered protections. section 7.2.1

How Azure Security covers it

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Related concepts

machine learninguses · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.

This explainer was generated by Manning's knowledge graph from the text of Azure Security. The section links point to the parts of the book it draws on.