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Security and Compliance in AI Services Flashcards
AWS Certified AI Practitioner AIF-C01 Flashcards
| Front | Back |
| How can AI services be made HIPAA compliant | Use AWS services configured for PHI data, like encrypted storage and secure networking |
| How can you enforce secure communication in AI services | Use HTTPS protocols and TLS encryption |
| How can you limit access to AWS AI services | Use IAM policies to define fine-grained permissions |
| How can you monitor activity in AWS AI services | Enable AWS CloudTrail to log API calls for auditing |
| What are IAM roles used for in AWS AI services | Controlling access to resources securely |
| What AWS service helps detect unauthorized changes to AI resources | AWS Config for compliance evaluation |
| What AWS tool is used for automated security checks | AWS Security Hub for centralized security analysis |
| What does PCI DSS compliance mean for AI services | Certifies handling of payment card information securely |
| What is GDPR | The General Data Protection Regulation governing user data privacy in the EU |
| What is the benefit of Amazon Macie in AI compliance | Helps discover and protect sensitive personal data using machine learning |
| What is the benefit of regularly rotating access keys | Minimizes risks of leaked keys being misused |
| What is the purpose of encryption in AI services | Ensuring data is secured at rest and in transit |
| What is the Shared Responsibility Model | AWS manages physical infrastructure while users secure their applications and data |
| What is the significance of data residency in AI compliance | Ensuring data is stored in specific geographic regions to meet legal requirements |
| Which AWS service is used for managing encryption keys | AWS Key Management Service (KMS) |
| Why is multi-factor authentication (MFA) important | Adds an extra layer of security to access control |
| Why is versioning important in AI models | Enables rollback and auditing of model modifications |
| Why should access credentials not be hardcoded in AI applications | Prevents unauthorized access and credential exposure |
| Why should sensitive data be anonymized before processing in AI services | Reduces risk of exposing personal information |
This deck covers key considerations for security, compliance, and best practices when using AWS AI services to ensure data protection and regulatory adherence.