AWS has introduced automatic application layer (L7) DDoS protection through AWS WAF, enabling faster detection and mitigation of DDoS events. This enhancement allows cloud security administrators to protect applications with reduced operational overhead by automatically applying rules based on traffic anomalies. The feature is available for AWS WAF and AWS Shield Advanced subscribers across most regions, with configurations customizable to specific application needs.

Envilder is a CLI tool that automates .env and secret management using AWS SSM Parameter Store, streamlining environment setup for development teams. It addresses common issues like outdated secrets, manual onboarding, and security risks by centralizing secrets management, generating consistent .env files, and enhancing CI/CD workflows. Envilder ensures secure, efficient, and idempotent management of environment variables across various environments, making it ideal for DevOps practices.

Automating certificate management is crucial for organizations using AWS Private CA, especially to handle custom validity periods and monitor expiration dates. Utilizing AWS services like EventBridge, Lambda, and SNS, a scalable solution is proposed to generate audit reports that track certificate statuses and notify stakeholders of upcoming expirations. This approach enhances operational security and ensures timely compliance with certificate management needs.

Organizations can automate the disabling of compromised user accounts in AWS Managed Microsoft Active Directory by utilizing Amazon GuardDuty for threat detection. The article outlines a step-by-step process to set up GuardDuty, configure AWS Systems Manager, and use AWS Step Functions to streamline the response to suspicious activities detected in EC2 instances. This automation minimizes human error and enhances security against potential data breaches.

The article discusses the creation of an AI agent designed to automate the triage of AWS GuardDuty alerts using tools and structured outputs. It outlines the technologies used, including PydanticAI and Discord integration, and describes the agent's functionality in assessing alerts, retrieving contextual information, and providing structured responses. The author shares insights from testing the agent with various GuardDuty findings, highlighting its ability to classify alerts accurately based on context.