aws▌

Securing API Gateway endpoints with AWS WAF by configuring managed rule groups for OWASP Top 10 protection, creating custom rate limiting rules, implementing bot control, setting up IP reputation filtering, and monitoring WAF metrics for security effectiveness.

Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts.

Configure IAM permission boundaries in AWS to delegate role creation to developers while enforcing maximum privilege limits set by the security team.

Implement Amazon Macie to automatically discover, classify, and protect sensitive data in S3 buckets using machine learning and pattern matching for PII, financial data, and credentials detection.

Conduct forensic investigations in cloud environments by collecting and analyzing logs, snapshots, and metadata from AWS, Azure, and GCP services.

AWS Lambda function invocation, management, and Spring Boot integration using AWS SDK for Java 2.x. \n \n Supports synchronous and asynchronous Lambda invocation with JSON payload serialization and typed response parsing \n Covers function lifecycle operations: create, update, delete, list, and retrieve configurations including environment variables and concurrency settings \n Includes Spring Boot integration patterns with bean configuration, service abstractions, and type-safe Lambda invoker se

AWS KMS key management, encryption, and digital signing for Java applications with envelope encryption and Spring Boot integration. \n \n Covers key creation, encryption/decryption, envelope encryption for large data, digital signatures, and key rotation using AWS SDK for Java 2.x \n Includes synchronous and asynchronous client setup, Spring Boot service configuration, and IAM permission patterns \n Provides envelope encryption patterns to reduce KMS API calls and support data larger than 4KB li

AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with seven core services. This skill guides you through service selection, deployment patterns, and integration workflows using AWS CLI.

This guide helps you configure AWS MCP tools for AI agents. Two options are available:

This skill provides comprehensive guidance for building serverless applications and event-driven architectures on AWS based on Well-Architected Framework principles.