A naukri.com initiative
Dev
2w
48
Image Credit: Dev
Protect Sensitive Data on AWS: A Beginner’s Guide to Amazon Macie
- As organizations adopt Cloud technology like Amazon Web Services (AWS) to modernize their data capabilities and innovate around it, they face the complexity of managing vast information spread across multiple AWS accounts.
- Amazon Macie is a data security service on AWS that uses machine learning and pattern matching to identify sensitive data in Amazon S3, offering insights into security risks and automated protection.
- Macie plays a pivotal role in understanding the data storage, assessing data exposure, near real-time data classification, identifying sensitive information, and automating compliance and security that are essential for robust data security and compliance.
- Organisations subject to regulations like GDPR, HIPAA, or PCI-DSS can use Macie to automatically discover and classify sensitive data, ensuring compliance by identifying where this data resides and how it’s being used or accessed.
- Amazon Macie brings compliance assurance, automated monitoring and actions, and global data visibility, enhancing an organisation's security posture.
- First-time users receive a 30-day free trial, and Amazon Macie uses a usage-based pricing model, charging based on the volume of data processed for sensitive data discovery.
- Setting up Amazon Macie is an easy task, and it offers various customization options for defining specific buckets, criteria, and detection rules as per your organization’s need.
- In addition to the AWS-defined custom identifiers, one can create custom data identifiers to detect specific detection criteria, like employee IDs, customer account numbers, or internal data classifications.
- Amazon Macie is useful for various industries seeking to secure student records, safeguard patient data, detect and protect intellectual property, and assess data security posture during M&A activities.
- Amazon Macie has been helpful in safeguarding sensitive data from data breaches and significant losses, and its importance has become undeniable in this data-driven world.
Read Full Article
2 Likes
For uninterrupted reading, download the app