by Shunku
Reviewing AI-Generated Code: A Practical Guide
Learn how to effectively review, refine, and take ownership of AI-generated code. Understand common pitfalls, security concerns, and best practices for code review in the age of AI.
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Learn how to effectively review, refine, and take ownership of AI-generated code. Understand common pitfalls, security concerns, and best practices for code review in the age of AI.
Understand the AWS Shared Responsibility Model - the foundation of cloud security that defines what AWS secures versus what you must secure.
Master AWS Identity and Access Management - understand identity types, policy evaluation, least privilege, and security best practices.
Master AWS VPC security - understand Security Groups vs NACLs, VPC Endpoints, Network Firewall, and defense-in-depth strategies.
Master AWS data protection - understand why encryption matters, how KMS works, the envelope encryption pattern, and when to use CloudHSM vs Secrets Manager.
Master AWS security monitoring - understand why visibility matters, how CloudTrail, CloudWatch, Config, and VPC Flow Logs work together, and how to build effective security monitoring.
Master AWS threat detection and incident response - understand how GuardDuty, Security Hub, and Detective work together, and how to build effective incident response capabilities.
Secure Kubernetes clusters with RBAC. Learn Roles, ClusterRoles, RoleBindings, ServiceAccounts, and security best practices.
Comprehensive guide to Docker security - namespaces, capabilities, seccomp profiles, rootless containers, image scanning, and secrets management.
Secure your generative AI applications on Amazon Bedrock. Learn IAM policies, VPC endpoints, encryption, audit logging, and compliance best practices.