Amazon Macie Integrations

Amazon Simple Storage Service (Amazon S3), an object storage service, offers industry-leading scalability and data availability, security, performance, and scalability. Customers of all sizes and industries can use Amazon S3 to store and protect any amount data for a variety of purposes, including data lakes, websites and mobile applications, backup, restore, archive, enterprise apps, big data analytics, and IoT devices. Amazon S3 offers easy-to-use management tools that allow you to organize your data and set up access controls that are tailored to your business, organizational, or compliance needs. Amazon S3 is built for 99.999999999% (11 9,'s) of durability and stores data for millions applications for companies around the globe. You can scale your storage resources to meet changing demands without having to invest upfront or go through resource procurement cycles. Amazon S3 is designed to last 99.999999999% (11 9,'s) of data endurance.

Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is five times faster that standard MySQL databases and three time faster than standard PostgreSQL database. It offers the same security, availability, reliability, and cost-effectiveness as commercial databases, but at a fraction of the cost. Amazon Aurora is fully managed and maintained by Amazon Relational Database Service, (RDS). This automates tedious administration tasks such as hardware provisioning, database setup, patching and backups. Amazon Aurora is a distributed, fault-tolerant and self-healing storage that auto-scales up 64TB per database instance. It offers high availability and performance with up to 15 low latency read replicas, point in time recovery, continuous backup to Amazon S3, replication across threeAvailability Zones, and continuous backup to Amazon S3.

Automated AWS security. AWS infrastructure insight and remediation performed by experts. Ensure that AWS Config has been enabled in all regions. Identify and block S3 public read/write/full access. Automated enforcement of S3 volumes and objects encryption. Stop login from an invalid IP address. Stop non-compliant dev resources. Eliminate unused elastic load balancers. Apply IP restriction policy to AWS resources automatically. Remove any internet-facing ELBs. Pre-defined policies only allow certain ports to remain open. RDS - Terminate unencrypted public instances. Monitoring and remediating your infrastructure against 100+ such rules, which include compliance with AWS CIS benchmarks as well as AWS Best Practices.

AWS App Mesh provides service mesh to facilitate communication between your services across different types of computing infrastructure. App Mesh provides visibility and high availability to your applications. Modern applications often include multiple services. Each service can be developed using different types of compute infrastructure such as Amazon EC2, Amazon ECS and Amazon EKS. It becomes more difficult to spot errors and redirect traffic after they occur, and to safely implement code changes. This was done by creating monitoring and control logic in your code and then redeploying your services whenever there were changes.

To quickly identify the root cause of security problems, analyze and visualize security data. Amazon Detective makes it easy for you to quickly identify and investigate potential security issues. Amazon Detective automatically collects log data and uses machine learning, statistical analyses, and graph theory. This allows you to conduct faster and more efficient security investigations. AWS security services such as Amazon GuardDuty and Amazon Macie can be used to identify security issues or findings. These services can alert you to potential security issues and point you in the right direction to fix them. Sometimes, however, a security finding might require you to dig deeper and analyze more information in order to determine the root cause and take corrective action.

Centrally view, manage and automate security alerts. AWS Security Hub provides a comprehensive view of all security alerts and security status across all AWS accounts. You have a wide range of powerful security tools available to you, including firewalls and endpoint defense to vulnerability and compliance scanners. This can lead to your team having to switch between multiple tools to manage hundreds or even thousands of security alerts each day. Security Hub is a single platform that aggregates, organizes and prioritizes security alerts or findings from multiple AWS services such as Amazon GuardDuty and Amazon Inspector, Amazon Macie and AWS Identity and Access Management Access Analyzer and AWS Firewall Manager. AWS Security Hub continuously monitors the environment with automated security checks that are based on industry standards and best practices.

Playbooks can be used to speed up time-to-value, and allow for easy scaling as you grow. You can address common problems like ransomware and phishing with ready-to-use use cases that include playbooks, simulated alarms, and tutorials. Drag and drop is all it takes to create playbooks that organize hundreds of the tools that you rely upon. Automate repetitive tasks to help you respond faster and make more time for high-value work. Optimize, troubleshoot and iterate playbooks using lifecycle management capabilities such as run analytics, reusable blocks, version control, rollback, and run analytics. Integrate threat intelligence at each step and visualize the most relevant contextual data for each threat, including who did what and when, and the relationships between all entities attached to an event or product. The patent-pending technology automatically groups related alerts into one threat-centric case. This allows a single analyst the ability to efficiently investigate and respond.