Automated AWS Organizations configuration for security operations

This solution establishes an automated event driven workflow for notifying and auto-remediating sensitive data findings from Amazon Macie. Human interaction is via ChatOps style integration with Slack.

Use AI/ML and pattern matching to identify and protect sensitive data in AWS

Sample code to discover financial data in S3 using Amazon Macie and automatically apply lifecycle policies

Repo contains all source code and Cloudformation templates for Macie DynamoDB blog located here https://aws.amazon.com/blogs/security/detecting-sensitive-data-in-dynamodb-with-macie/

Detect Sensitive Data with Amazon Macie Lab - ANZ Summit Workshop

Production-ready Terraform modules for AWS security services (CloudTrail, GuardDuty, Security Hub, Config, Detective, Inspector, Macie, Access Analyzer)

Terraform Module to deploy SecurityHub V2 bot on AWS serverless technologies

The AWS S3 Bucket Auditor is a Go-based command-line tool that performs a comprehensive security audit of your Amazon S3 buckets. It integrates with AWS Macie to check for sensitive data, providing intelligent insights while ensuring data privacy and security.

Process AWS Security Hub v2 (OCSF) findings with auto-suppression rules, filtering, and optional Slack alerts

Terraform code to process a stream from a Discord server, and process it with AWS Macie to identify personally identifiable information.

AWS Organization Macie configuration

Hands on example on using AWS Macie service for enhanced data privacy

A terraform module to create the handshake role needed by macie and then to setup the account as a member of your macie master

Event driven AWS security automation platform GuardDuty threat detection, Security Hub (CIS 1.4 + PCI DSS), Inspector v2, Macie, and IAM Access Analyzer feeding EventBridge rules that trigger Lambda auto remediation: EC2 isolation, IAM credential revocation, malicious IP blocking (WAFv2 + NACL), and S3 hardening. Full audit trail in DynamoDB.