ECCouncil 312-40 Practice Test - Questions Answers, Page 12

To address the issue of overspending and improve the cloud journey with desired outcomes and business value, the e-commerce platform www.evoucher.com should follow the AWS Cloud Adoption Framework (AWS CAF).

1.Understanding AWS CAF: The AWS CAF is a guidance framework developed by Amazon Web Services to help organizations design and implement effective cloud adoption strategies. It outlines best practices and provides a structured approach to cloud adoption by breaking down the process into manageable perspectives, each focusing on specific aspects of the transition1.

1.Benefits of AWS CAF:

oReduce Business Risk: AWS CAF helps in understanding all standards and requirements to maintain data security and privacy during cloud migration2.

oAccelerate Innovation: It allows businesses to quickly benefit from the scalability and flexibility of cloud-based infrastructure2.

oEnhance Agility: AWS CAF provides a clear and highly-structured approach to digital transformation, defining a cloud adoption strategy and outlining the main steps in detail2.

1.Addressing Overspending: By following AWS CAF, www.evoucher.com can identify and mitigate risks, manage costs, and ensure compliance as they move their workloads to the cloud. This structured approach will help in avoiding mistakes in threat detection and security governance, which are contributing to the overspending1.

AWS Cloud Adoption Framework1.

What is a Cloud Adoption Framework? - CAF Explained2.

Understanding AWS Cloud Adoption Framework (CAF)3.

The Security Command Center (SCC) in Google Cloud provides various services to detect and manage security risks. Among the options provided, Security Health Analytics is the built-in feature that utilizes behavioral signals to detect security abnormalities.

1.Security Health Analytics: It is a service within SCC that performs automated security scans of Google Cloud resources to detect misconfigurations and compliance violations with respect to established security benchmarks1.

1.Detection Capabilities: Security Health Analytics can identify a range of security issues, including misconfigured network settings, insufficient access controls, and potential data exfiltration activities. It helps in detecting unusual activity that could indicate a security threat1.

1.Behavioral Signals: By analyzing behavioral signals, Security Health Analytics can detect anomalies that may signify leaked credentials or other security risks in virtual machines or GCP projects1.

1.Why Not the Others?:

oAnomaly Detector is not a specific feature within SCC.

oCloud Armor is primarily a network security service that provides protection against DDoS attacks and other web-based threats, not specifically for detecting security abnormalities based on behavioral signals.

oCloud Anomaly Detection is not listed as a built-in feature in the SCC documentation.

Google Cloud Documentation: Security Command Center overview1.

Google Cloud Blog: Investigate threats surfaced in Google Cloud's Security Command Center2.

Making Science Blog: Security Command Center: Strengthen your company's security with Google Cloud3.

Aidan McGraw's requirements to protect sensitive information shared outside the organization can be satisfied by Information Rights Management (IRM).

1.IRM Overview: IRM is a form of IT security technology used to protect documents containing sensitive information from unauthorized access. It does this by encrypting the data and embedding user permissions directly into the file1.

1.Encryption and Permissions: IRM allows for the encryption of the actual data within the file and includes access permissions that dictate who can view, edit, print, forward, or take other actions with the data. These permissions are enforced regardless of where the file is located, making it ideal for sharing outside the organization1.

1.Protection Against Attacks: By using IRM, Aidan ensures that even if attackers were to gain access to the file, they would not be able to decrypt the information without the appropriate permissions. This protects against unauthorized intruders and hackers1.

Strategies and Best Practices for Protecting Sensitive Data1.

Data security and encryption best practices - Microsoft Azure2.

What Is Cryptography? | IBM3.

AWS Config is the service that enables Kenneth to assess, audit, and evaluate the configurations of AWS resources.

1.AWS Config: This service provides a detailed view of the configuration of AWS resources within the account. It includes a history of configuration changes and relationships between AWS resources, making it possible to review changes and determine overall compliance against internal guidelines1.

1.Capabilities of AWS Config:

oConfiguration and Relationship Review: AWS Config records and evaluates the configurations and relationships of AWS resources, allowing Kenneth to track changes and review the environment's compliance status.

oResource Configuration History: It maintains a detailed history of the configurations of AWS resources over time.

oCompliance Evaluation: AWS Config can assess resource configurations against desired configurations to ensure compliance with internal guidelines.

1.Why Not the Others?:

oAWS CloudTrail: This service is focused on providing event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, and other AWS services.

oAWS CloudFormation: While CloudFormation is used for creating and managing a collection of related AWS resources, it does not provide configuration history or compliance evaluation.

oAWS Security Hub: Security Hub gives a comprehensive view of high-priority security alerts and compliance status across AWS accounts, but it does not offer detailed configuration history or relationship tracking.

AWS Config: Assess, audit, and evaluate configurations of your resources1.

To encrypt the traffic between the load balancer and clients that initiate SSL or TLS sessions, SecAppSol Pvt. Ltd.'s security team would enable an HTTPS listener on their load balancer. This is a common method used in AWS to secure communication.

Here's how it works:

1.HTTPS Listener Configuration: The security team configures the load balancer with an HTTPS listener, which listens for incoming SSL or TLS connections on a specified port (usually port 443).

1.SSL/TLS Certificates: They deploy SSL/TLS certificates on the load balancer. These certificates are used to establish a secure connection and encrypt the traffic.

1.Secure Communication: When a client initiates a session, the HTTPS listener uses the SSL/TLS certificate to perform a handshake, establish a secure connection, and encrypt the data in transit.

1.Backend Encryption: Optionally, the load balancer can also be configured to encrypt traffic to the backend servers, ensuring end-to-end encryption.

1.Security Policies: The security team sets security policies on the load balancer to define the ciphers and protocols used for SSL/TLS, further enhancing security.

AWS documentation on configuring end-to-end encryption in a load-balanced environment, which includes setting up an HTTPS listener1.

AWS documentation on creating an HTTPS listener for your Application Load Balancer, detailing the process and requirements2.

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Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. It is specifically designed to support Amazon S3 storage and provides an inventory of S3 buckets, helping organizations like SecGlob Cloud Pvt. Ltd. to identify and protect their sensitive data.

Here's how Amazon Macie fulfills Martin's requirements:

1.Sensitive Data Identification: Macie automatically and continuously discovers sensitive data, such as personally identifiable information (PII), in S3 buckets.

1.Inventory and Monitoring: It provides an inventory of S3 buckets, detailing which are publicly accessible, unencrypted, or shared with accounts outside the organization.

1.Alerts and Reporting: Macie generates detailed alerts and reports when it detects unauthorized access or inadvertent data leaks.

1.Data Security Posture: It helps improve the data security posture by providing actionable recommendations for securing S3 buckets.

1.Compliance Support: Macie aids in compliance efforts by monitoring data access patterns and ensuring that sensitive data is handled according to policy.

AWS documentation on Amazon Macie, which outlines its capabilities for protecting sensitive data in S31.

An AWS blog post discussing how Macie can be used to identify and protect sensitive data in S3 buckets1.

Scanning Infrastructure-as-Code (IaC) templates is a preventive measure that can identify misconfigurations and potential security issues before the templates are deployed. This process involves analyzing the code to ensure it adheres to best practices and security standards.

Here's how scanning IaC templates could have prevented the security breach:

1.Early Detection: Scanning tools can detect misconfigurations in IaC templates early in the development cycle, before deployment.

1.Automated Scans: Automated scanning tools can be integrated into the CI/CD pipeline to continuously check for issues as code is written and updated.

1.Security Best Practices: Scanning ensures that IaC templates comply with security best practices and organizational policies.

1.Vulnerability Identification: It helps identify vulnerabilities that could be exploited if the infrastructure is deployed with those configurations.

1.Remediation Guidance: Scanning tools often provide guidance on how to fix identified issues, which can prevent exploitation.

Microsoft documentation on scanning for misconfigurations in IaC templates1.

Orca Security's blog on securing IaC templates and the importance of scanning them2.

An article discussing common security risks with IaC and the need for scanning templates3.

Crypto-shredding is the method of 'deleting' encrypted data by destroying the encryption keys. This method is particularly useful in cloud environments where physical destruction of storage media is not feasible. By deleting the keys used to encrypt the data, the data itself becomes inaccessible and is effectively considered deleted.

Here's how crypto-shredding works:

1.Encryption: Data is encrypted using cryptographic keys, which are essential for decrypting the data to make it readable.

1.Key Management: The keys are managed separately from the data, often in a secure key management system.

1.Deletion of Keys: When instructed to delete the data, instead of trying to erase the actual data, the encryption keys are deleted.

1.Data Inaccessibility: Without the keys, the encrypted data cannot be decrypted, rendering it unreadable and unrecoverable.

1.Compliance: This method helps organizations comply with data protection regulations that require secure deletion of personal data.

A technical paper discussing the concept of crypto-shredding as a method for secure deletion of data in cloud environments.

An industry article explaining how crypto-shredding is used to meet data privacy requirements, especially in cloud storage scenarios.

AWS Snowball is a data transport solution that uses secure, physical devices to transfer large amounts of data into and out of the AWS cloud. It is designed to overcome challenges such as high network costs, long transfer times, and security concerns.

Here's how AWS Snowball works for Teresa's organization:

1.Requesting the Device: Teresa orders a Snowball device from AWS.

1.Data Transfer: Once the device arrives, she connects it to her local network and transfers the data onto the Snowball device using the Snowball client.

1.Secure Shipment: After the data transfer is complete, the device is shipped back to AWS.

1.Data Import: AWS personnel import the data from the Snowball device into the specified S3 buckets.

1.Erase and Reuse: After the data transfer is verified, AWS performs a software erasure of the Snowball device, making it ready for the next customer.

AWS's official documentation on Snowball, which outlines its use cases and process for transferring data.

An AWS blog post discussing the benefits of using Snowball for large-scale data transfers, including cost-effectiveness and security.