In the Prisma Cloud Web-Application and API Security (WAAS) rules, protections against OWASP-recognized vulnerabilities like Local file inclusion, SQL injection, and Shellshock are included. Local file inclusion involves unauthorized access to files on the server, potentially leading to sensitive information disclosure. SQL injection targets data-driven applications by inserting malicious SQL statements into an entry field, while Shellshock exploits vulnerabilities in Bash, a widely used Unix shell, to execute arbitrary commands. These protections are part of Prisma Cloud ' s comprehensive approach to securing web applications and APIs against common and severe vulnerabilities.

https://www.paloaltonetworks.com/content/dam/pan/en_US/images/prisma/owasp-top-10-protection-2.png?imwidth=3840 OWASP Top-10 Coverage - Protection against most critical security risks to web applications, including injection flaws, broken authentication, broken access control, security misconfigurations, etc.

Within Prisma Cloud, when creating compliance reports, administrators have the flexibility to schedule the generation of these reports based on their specific needs. The available frequency options include " One-time, " where a report is generated once at a specified time, and " Weekly, " which allows for the recurring generation of reports on a weekly basis. These options provide organizations with the ability to tailor their compliance reporting to their operational requirements, ensuring that they have regular and up-to-date insights into their compliance posture.

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. "

Aggressive: For unusual user activity—Report on either unknown location or service, or both to classify an anomaly. For account hijacking—Report on unknown browser and Operating System, impossible time travel, or both. For anomalous compute provisioning activity—Reports on low and higher severity alerts.

You can have twistcli generate a detailed report for each scan. The following procedure shows you how to scan an image with twistcli, and then retrieve the results from Console.

https://docs.paloaltonetworks.com/prisma/prisma-cloud/prisma-cloud-admin-compute/tools/twistcli_scan_images

In the context of associating Prisma Cloud policies with compliance frameworks, the most appropriate option is " Custom compliance. " Prisma Cloud provides a comprehensive set of security and compliance policies that can be applied to cloud environments. While predefined policies cover a wide range of compliance standards and best practices, every organization has unique requirements and may follow specific compliance frameworks that are not directly included in the predefined policies. Custom compliance allows organizations to define their own compliance frameworks and associate specific Prisma Cloud policies with these custom frameworks. This flexibility ensures that organizations can maintain compliance with their specific regulatory and industry standards, tailoring the Prisma Cloud policies to meet their unique compliance needs. Custom compliance frameworks can be created within Prisma Cloud to include a collection of policies that address the specific controls and requirements of the organization ' s chosen compliance standards, providing a tailored approach to cloud security and compliance.

Learning mode is the phase in which Prisma Cloud performs either static or dynamic analysis. Because the model depends on behavioral inputs, images stay in learning mode for 1 hour to complete the model. After this 1 hour, Prisma Cloud enters a ' dry run ' period for 24 hours to ensure there are no behavioral changes and the model is complete. If during these 24 hours, behavioral changes are observed, the model goes back to Learning mode for an additional 24 hours.

The " overly permissive service access " compliance check is specifically designed to evaluate and ensure that cloud services are not granted more permissions than necessary, which could lead to potential security risks. Among the listed options, Amazon Web Services (AWS) is known for its extensive service offerings and the complexity of its Identity and Access Management (IAM) configurations. Prisma Cloud, a comprehensive cloud security platform by Palo Alto Networks, provides extensive support for AWS, including checks for overly permissive service access. This ensures that AWS environments adhere to the principle of least privilege, reducing the attack surface by limiting access to the minimum necessary to perform required tasks. Prisma Cloud ' s capabilities in AWS environments are detailed in various resources, including documentation and guides provided by Palo Alto Networks, which highlight its effectiveness in identifying and mitigating risks associated with excessive permissions in AWS services.

To automate vulnerability scanning for images deployed to Fargate, the customer should set up a vulnerability scanner on the container registry where the images are stored before they are deployed. By scanning the images in the registry, any vulnerabilities can be identified and addressed before the images are used to create Fargate tasks. This proactive approach to vulnerability management is crucial in cloud-native environments to ensure that deployed containers are free from known vulnerabilities​​.

https://docs.paloaltonetworks.com/prisma/prisma-cloud/prisma-cloud-admin/prisma-cloud-policies/anomaly-policies

An Anomaly policy in Prisma Cloud is designed to provide information about connections from suspicious IPs in a customer database. Anomaly policies are used to detect and alert on unusual activities that deviate from the norm, which can include traffic from known malicious or suspicious IP addresses. These policies help in identifying potential security threats by monitoring for activities that are out of the ordinary, such as unexpected access to a database from an IP address that has not been seen before or is known to be associated with malicious activities.

The documentation link you provided offers detailed guidance on how to configure and manage anomaly policies in Prisma Cloud, ensuring that users can effectively monitor their environments for potential security incidents.