Free Paloalto Networks CloudSec-Pro Practice Exam with Questions & Answers | Set: 3

Create SNS Topic Triggers: No data security scan

Select an S3 bucket: Forward Scan only

Select an S3 bucket with existing files: Forward or Backward Scan

Link an S3 logging to CloudTrail: Backward Scan only

The scanning mode for Data Security in AWS typically depends on the configuration and the desired outcomes for monitoring and protecting data within S3 buckets.

Creating SNS Topic Triggers is a configuration step that does not directly involve scanning. It is part of setting up notifications for events in S3 buckets, but on its own, it does not initiate a data security scan.

Selecting an S3 bucket without specifying existing files typically implies that you intend to scan new objects as they are added to the bucket, which is known as a Forward Scan. This mode is proactive and scans files upon their arrival in the bucket.

When you select an S3 bucket with existing files, you can perform either Forward Scanning for new files or Backward Scanning to scan all existing files in the bucket. This option provides the most comprehensive scanning coverage for both new and existing data.

Linking an S3 logging to CloudTrail is usually a step taken to monitor access and changes to S3 resources. In the context of scanning, linking S3 to CloudTrail does not initiate a scan, but the CloudTrail logs can be used to trigger a Backward Scan if configured to do so, which scans historical files in the bucket based on CloudTrail events.

In Prisma Cloud, Defenders play a crucial role in securing cloud environments by monitoring and protecting workloads. The communication between Defenders and the Prisma Cloud Console occurs in real-time, allowing for immediate detection of threats, vulnerabilities, and compliance issues. This real-time communication is essential for maintaining an up-to-date security posture and promptly responding to potential security incidents. The real-time nature of Defender-Console communication ensures that security teams have the latest information and can take swift actions to mitigate risks.

Under Web-Application and API Security (WAAS) bot protection in Prisma Cloud, unknown bots are categorized based on their behavior and characteristics. Web scrapers and HTTP libraries fall into the category of unknown bots. Web scrapers are automated scripts or programs that extract data from websites, often without permission, while HTTP libraries are tools used for making HTTP requests. Both can be used benignly but may also be employed in malicious activities, hence their classification as unknown bots requiring further analysis.

In the MITRE ATT&CK framework, the tactic "Exploit Public-Facing Application" is categorized under Initial Access. This tactic involves leveraging vulnerabilities in public-facing applications to gain unauthorized access to an organization's external services or applications. Initial Access tactics are concerned with the methods adversaries use to gain an initial foothold within a network, and exploiting public-facing applications is a common approach used by attackers to breach external defenses and establish a presence within a target network.

To utilize the automated method for remediation within the Amazon Web Services (AWS) Cloud, specifically for the Identity and Access Management (IAM) module, two critical actions are required: installing the boto3 and requests libraries, and configuring the IAM AWS remediation script.

The boto3 library is AWS's SDK for Python, allowing Python developers to write software that makes use of services like Amazon S3 and Amazon EC2. The requests library is a Python HTTP library designed for human beings, enabling easy interaction with HTTP services. Together, these libraries are foundational for scripting AWS services, including automating remediation tasks within IAM.

Configuring the IAM AWS remediation script is the second critical step. This script is tailored to interact with AWS IAM to automate the remediation of identified security issues, such as excessive permissions, unused IAM roles, or improperly configured policies. The script uses the boto3 library to communicate with AWS services, applying the necessary changes to align IAM configurations with security best practices.

These actions are essential for leveraging automation to enhance IAM security within AWS, ensuring that IAM configurations adhere to the principle of least privilege and other security best practices. This approach aligns with Prisma Cloud's capabilities and recommendations for cloud security, emphasizing the importance of automation in maintaining a robust security posture, as discussed in resources like the "Prisma Cloud Visibility and Control Qualification Guide" and the "Guide to Cloud Security Posture Management Tools."

Prisma Cloud enables you to send notifications for new code and CI/CD security issues detected during periodic scans of your environments to messaging systems that you have integrated with Prisma Cloud. Supported messaging systems include Microsoft Teams, Slack, Splunk, JIRA, ServiceNow notification systems, as well as for webhooks.

https://docs.prismacloud.io/en/classic/appsec-admin-guide/get-started/finetune-configuration-settings/enable-notifications

In Prisma Cloud, assigning an administrative user to an account group is a way to implement the principle of least privilege by restricting the user's access to a specific subset of resources and data. Account groups are logical collections of cloud accounts, and by associating an administrative user with a particular account group, their access is limited to only those resources and data associated with the cloud accounts within that group. This mechanism ensures that users have access only to the information and resources necessary for their role or tasks, enhancing security by minimizing the potential for unauthorized access or actions within the cloud environment.

To reduce the number of alerts generated by the "Unusual protocol activity (Internal)" network anomaly without entirely disabling the policy, setting the Alert Disposition to Conservative (option B) is the most effective strategy. This configuration adjusts the sensitivity of the anomaly detection, reducing the likelihood of false positives and minimizing alert fatigue without compromising the ability to detect genuine security threats. By adopting a more conservative approach to anomaly detection, the administrator can ensure that only the most significant and potentially harmful activities trigger alerts, thus maintaining a balance between security vigilance and operational efficiency.

The correct RQL (Resource Query Language) that detected the vulnerability is:

config from cloud.resource where cloud.type = 'aws' and api.name = 'aws-iam-get-credential-report' AND json.rule = '(access_key_1_active is true and access_key_1_last_rotated != N/A and DateTime. ageInDays (access_key_1_last_rotated) > 90) or (access_key_2_active is true and access_key_2_last_rotated != N/A and _DateTime. ageInDays (access_key_2_last_rotated) > 90)'

This RQL is designed to check the age of the AWS IAM user's access keys to ensure that they are rotated within a recommended period, typically 90 days. If the access keys have not been rotated within this timeframe, it would be considered a security risk or vulnerability, as old keys may potentially be compromised. By enforcing access key rotation, it minimizes the risk of unauthorized access.

The reference for this type of policy check can be seen in cloud security best practices that advocate for regular rotation of access keys to minimize the potential impact of key compromise. CSPM tools like Prisma Cloud include such checks to automate compliance with these best practices.