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What are the key enhanced security features of a CWPP solution for cloud workloads?
Discover the enhanced security features of cloud workload protection (CWPP). Learn how real-time threat detection and response capabilities identify and mitigate complex security threats targeting your servers, containers, and databases in the cloud.
Question
Which of the following is a key enhanced security feature provided by cloud workload protection?
A. Real-time threat detection and response
B. Automated cost optimization
C. Increased application performance
D. Faster deployment of cloud resources
Answer
A. Real-time threat detection and response
Explanation
Cloud Workload Protection provides real-time threat detection and response, helping to identify and mitigate security threats targeting cloud workloads. For more information, please refer to the “Enhanced security features provided by cloud workload protection” lecture.
A key enhanced security feature provided by Cloud Workload Protection Platforms (CWPPs), such as the workload protection plans in Microsoft Defender for Cloud, is real-time threat detection and response. This capability moves beyond static configuration checks to actively monitor workload behavior for signs of an attack.
Real-Time Threat Detection and Response
This feature provides deep, runtime security for active workloads by continuously analyzing system activity. It is designed to identify and mitigate threats that may have bypassed preventative controls.
Threat Detection Mechanisms
- Behavioral Analysis: CWPPs create a baseline of normal activity for a workload (e.g., processes, network connections, user logins). They then alert on deviations from this baseline, which can indicate malicious activity like fileless attacks or lateral movement.
- Threat Intelligence: These platforms integrate with vast, up-to-date threat intelligence feeds (like the Microsoft Intelligent Security Graph). This allows them to identify known indicators of compromise (IOCs), such as connections to malicious IP addresses or the presence of known malware signatures.
- Machine Learning: Advanced algorithms are used to detect sophisticated and emerging threats that may not have known signatures. Machine learning models can identify subtle patterns and correlations that signal an attack in progress.
Response Capabilities
- High-Fidelity Alerts: When a threat is detected, the CWPP generates a detailed alert that provides context about the attack, including the affected resources, the attack kill chain, and recommended remediation steps.
- Automated Response: In some cases, the platform can take automated actions to contain the threat, such as blocking a malicious process, isolating a compromised virtual machine from the network, or quarantining a malicious file.
- Investigation Tools: They provide security teams with tools to investigate alerts, hunt for threats across their environment, and understand the full scope of an incident.
Analysis of Incorrect Options
B. Automated cost optimization. This is a financial management (FinOps) function, not a security one. It is handled by services like Azure Cost Management + Billing, which help organizations analyze spending and optimize resource usage.
C. Increased application performance. This is the primary goal of Application Performance Monitoring (APM) tools, such as Azure Monitor Application Insights. While poor security can sometimes impact performance, a CWPP’s main function is protection, not performance enhancement.
D. Faster deployment of cloud resources. This is an operational function managed through Infrastructure as Code (IaC) tools like Azure Resource Manager (ARM) templates, Bicep, or Terraform, and DevOps processes. A CWPP secures the workloads after they are deployed.
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