Gen AI Dev- Implement Data Security and Privacy Controls

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Gen AI Dev- Implement Data Security and Privacy Controls

Instructor: AWS Instructor

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4 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Advanced level

Recommended experience

2 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Describe defense-in-depth for AI strategy and the seven layer approach
Locate resources for AI security best practices
Implement secure infrastructure for AI data processing with network isolation using VPC endpoints

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There are 4 modules in this course

In this module, you will learn how to do the following:Describe defense-in-depth for AI strategy and the seven layer approach.Locate resources for AI security best practices.Implement secure infrastructure for AI data processing with network isolation by using VPC endpoints.Secure data access patterns with IAM policies.Configure identity federation for enterprise AI environments.Design role-based access control (RBAC) for AI resources and data stores.Implement granular data access with AWS Lake

What's included

2 readings

What's included

28 readings

28 readingsTotal 49 minutes

Introduction1 minute
Seven layers of security protection2 minutes
Architect defense-in-depth security for generative AI applications1 minute
Introduction1 minute
Benefits of using VPC endpoints for private network communications1 minute
More on the benefits6 minutes
Endpoint security best practices resources1 minute
Introduction1 minute
Benefits of securing data access patterns with IAM9 minutes
Introduction1 minute
Securing Enterprise GenAI Applications1 minute
Identity Federation2 minutes
Role-based access controls (RBAC)2 minutes
Secure API Access frameworks1 minute
A few key takeaways:1 minute
Introduction1 minute
Understanding AWS Lake Formation for AI data governance2 minutes
Granular access control capabilities1 minute
Integrating Lake Formation with AI services2 minutes
Fine-grained permission management1 minute
Monitoring and compliance with Lake Formation1 minute
Best practices for AI data governance2 minutes
Introduction1 minute
CloudWatch for monitoring data access1 minute
CloudWatch Logs for AI security monitoring1 minute
CloudWatch Logs Insights for analyzing AI application logs3 minutes
CloudWatch anomaly detection to identify unusual access patterns1 minute
Best practices for AI security monitoring1 minute

What's included

22 readings

22 readingsTotal 38 minutes

Introduction1 minute
Amazon Bedrock Native Data Privacy1 minute
Encryption and data protection capabilities4 minutes
Amazon Bedrock AgentCore1 minute
Amazon Nova Models1 minute
Best practices for using Bedrock native privacy features1 minute
Introduction1 minute
The challenges in AI environments1 minute
Amazon Bedrock Guardrails for PII output filtering1 minute
Amazon Comprehend3 minutes
Amazon Macie3 minutes
Implementing comprehensive PII protection architectures2 minutes
Amazon Nova models1 minute
Introduction1 minute
Understanding data masking fundamentals for AI systems1 minute
Anonymization strategies for AI data protection1 minute
Pseudonymization techniques for AI data protection5 minutes
Masking techniques for vector embeddings in Amazon S3 Vectors1 minute
Introduction1 minute
Understanding data lifecycle management for AI applications1 minute
Using Amazon S35 minutes
Vector data retention considerations for S3 Vectors1 minute

What's included

4 readings1 assignment

Instructor

AWS Instructor

Amazon Web Services

187 Courses366,231 learners

Offered by

Amazon Web Services

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