Amazon Macie logo

Amazon Macie

Automatically Discover, Classify, and Secure Content at Scale
+ 1

What is Amazon Macie?

Amazon Macie is a security service that uses machine learning to automatically discover, classify, and protect sensitive data in AWS. Amazon Macie recognizes sensitive data such as personally identifiable information (PII) or intellectual property, and provides you with dashboards and alerts that give visibility into how this data is being accessed or moved.
Amazon Macie is a tool in the Security category of a tech stack.

Who uses Amazon Macie?

6 developers on StackShare have stated that they use Amazon Macie.

Amazon Macie Integrations

Amazon Macie Alternatives & Comparisons

What are some alternatives to Amazon Macie?
Amazon GuardDuty
It is a managed threat detection service that continuously monitors for malicious or unauthorized behavior to help you protect your AWS accounts and workloads. It monitors for activity such as unusual API calls or potentially unauthorized deployments that indicate a possible account compromise. It also detects potentially compromised instances or reconnaissance by attackers.
It is a robust, commercial-grade, and full-featured toolkit for the Transport Layer Security (TLS) and Secure Sockets Layer (SSL) protocols. It is also a general-purpose cryptography library.
Let's Encrypt
It is a free, automated, and open certificate authority brought to you by the non-profit Internet Security Research Group (ISRG).
The leading cybersecurity solution providing client-side protection against data loss, journey hijacking and intrusion while enhancing website performance. Assess and monitor privacy risk to protect against malicious JavaScript attacks.
Spring Security
It is a framework that focuses on providing both authentication and authorization to Java applications. The real power of Spring Security is found in how easily it can be extended to meet custom requirements.
See all alternatives

Amazon Macie's Followers
25 developers follow Amazon Macie to keep up with related blogs and decisions.
eric m茅ni猫re
lokendra sharma
Suresh Simhadri
midhun manoharan
Laiba Ashhar .
ezt user001
Code Korenge
Ahmed Raza Malik
Devi Harshan