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| Section | Objectives |
|---|---|
| Cloud Security Architecture and Design | - Secure cloud architecture principles - Identity and access management in cloud environments |
| Governance, Risk Management, and Compliance | - Regulatory and compliance considerations - Cloud governance frameworks and responsibilities - Risk assessment and management in cloud environments |
| Cloud Computing Concepts and Architecture | - Cloud reference architecture and service models (IaaS, PaaS, SaaS) - Key cloud characteristics and deployment models |
| Cloud Application Security | - Secure software development in cloud environments - API security and application controls |
| Legal Issues, Contracts, and Electronic Discovery | - Cloud contracts and service level agreements (SLAs) - Legal jurisdiction and data ownership considerations |
| Data Security and Information Lifecycle Management | - Encryption and key management - Data classification and protection - Data retention and secure disposal |
| Cloud Platform and Infrastructure Security | - Network security in cloud environments - Container and workload security basics - Virtualization security |
| Operations | - Logging, monitoring, and auditing - Incident response in cloud environments - Business continuity and disaster recovery |
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NEW QUESTION # 247
Which one of the following is the key techniques to create cloud infrastructure?
Answer: B
Explanation:
The key techniques to create a cloud are abstraction and orchestration. We abstract the resources from the underlying physical infrastructure to create our pools, and use orchestration(and automation)to coordinate carving out and delivering a set of resources from the pools to the consumers. As you will see, these two techniques create all the essential characteristics we use to define something as a
"cloud."
Ref: CSA Security Guidelines V4.0
NEW QUESTION # 248
What is a key benefit of using customer-managed encryption keys with cloud key management service (KMS)?
Answer: A
Explanation:
The correct answer isB. Customers retain control over their encryption keys.
Usingcustomer-managed encryption keys (CMEK)with a cloudKey Management Service (KMS)allows the customer toretain full control over the encryption keysused to encrypt their data. This is crucial in maintaining data sovereignty, privacy, and compliance with regulatory requirements.
Key Benefits of Customer-Managed Encryption Keys:
* Key Ownership and Control:Unlike cloud provider-managed keys, CMEK ensures that the customer has full authority over the key's lifecycle, including creation, rotation, and deletion.
* Enhanced Security:Customers can enforce strict access controls and audit who accesses the keys.
* Compliance:Many regulations (like GDPR or HIPAA) mandate that data owners maintain control over encryption keys.
* Data Privacy:Even though the data is stored on the cloud, the provider cannot access unencrypted data without the customer's permission.
* Flexibility:Customers can choose when to revoke or rotate keys, which directly impacts data availability and access.
Why Other Options Are Incorrect:
* A. Bypass the need for encryption:CMEK does not eliminate the need for encryption; it strengthens it by giving customers direct control.
* C. Share encryption keys more easily:Sharing encryption keys can increase security risks, and CMEK is designed to restrict, not ease, key sharing.
* D. Reduces computational load on the cloud service provider:CMEK does not impact the computational load. It focuses on key management and control rather than reducing processing overhead.
Real-World Example:
InAWS KMS, using CMEK allows customers to bring their own keys (BYOK) and manage them directly through AWS Key Management Service. Similar practices exist inGoogle Cloud KMSandAzure Key Vault, where customers can generate and control their own encryption keys.
Practical Use Case:
A healthcare provider using a cloud service to store patient records may use CMEK to ensure that sensitive data is encrypted under keys they control, ensuring compliance with regulations likeHIPAA.
References:
CSA Security Guidance v4.0, Domain 11: Data Security and Encryption
Cloud Computing Security Risk Assessment (ENISA) - Key Management and Encryption Cloud Controls Matrix (CCM) v3.0.1 - Data Protection and Encryption Domain
NEW QUESTION # 249
An organization deploys an AI application for fraud detection. Which threat is MOST likely to affect its AI model's accuracy?
Answer: B
Explanation:
Correct Option: A. Adversarial attacks
Adversarial attacks are specifically designed to deceive AI and machine learning models by feeding them crafted inputs that result in incorrect outputs. These attacks are highly effective against AI models, especially in areas like fraud detection, where accuracy is critical.
From CSA Security Guidance v4.0 - Domain 13: Security as a Service (SecaaS) and related AI-focused security discussions:
"AI models are vulnerable to adversarial inputs, where attackers introduce subtle perturbations to input data that are imperceptible to humans but cause the AI system to make wrong decisions. These attacks degrade the accuracy and reliability of machine learning models."
- CSA Guidance on AI Security (in Security as a Service domain)
Adversarial ML is a well-recognized field of AI security, where the goal of the attacker is to intentionally corrupt or manipulate input data, thereby lowering the performance or biasing the output of the model.
Why the Other Options Are Incorrect:
* B. DDoS attacks# Affects availability, not accuracy. DDoS can cause downtime but doesn't interfere with model predictions.
* C. Third-party services# May introduce supply chain or dependency risks, but they don't directly impact the AI model's accuracy unless involved in training data pipelines.
* D. Jailbreak attack# More relevant to LLMs (Large Language Models) or chatbots, not structured AI fraud detection models.
NEW QUESTION # 250
Which strategy is critical for securing containers at the image creation stage?
Answer: C
Explanation:
Securing containers begins at the image creation stage, and one of the most critical strategies at this point is ensuring that only secure and approved base images are used. Container images form the foundation of the runtime environment, and if a base image is compromised, every container derived from it will inherit that vulnerability.
The CSA Security Guidance v4.0 under Domain 8: Virtualization and Containers stresses:
"The use of trusted and validated base images is critical in preventing the introduction of vulnerabilities during the image build process. Organizations must ensure that all base images are sourced from authorized registries and are continuously verified for security and compliance." (CSA Security Guidance v4.0, Domain 8: Virtualization and Containers) Furthermore, the Cloud Controls Matrix (CCM) under VIR-06 supports this principle:
"Ensure that container images used in the environment are created from secure, validated, and approved sources. Prevent use of untrusted third-party containers to mitigate risk."
NEW QUESTION # 251
Whose responsibility is to maintain security incident and event management(SIEM) capabilities in PaaS (Platform as a Service) model?
Answer: A
Explanation:
In forms of service models, it is cloud service provider's responsibility to maintain security incident and event management(SIEM) capabilities
NEW QUESTION # 252
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