
A command-line tool that analyzes local CloudTrail files to detect off-instance AWS key usage patterns for security monitoring and forensic analysis.

A command-line tool that analyzes local CloudTrail files to detect off-instance AWS key usage patterns for security monitoring and forensic analysis.
AWS Key Usage Detector is a security analysis tool designed to identify off-instance key usage patterns within AWS environments. The tool operates by examining CloudTrail log files stored in local directories to detect potentially unauthorized or suspicious access key activities. The application functions as a command-line utility that requires users to clone the repository and install the package before execution. Once configured, users can run the program by specifying the path to their CloudTrail files for analysis. The tool focuses specifically on detecting key usage that occurs outside of expected AWS instances, which can indicate compromised credentials, unauthorized access attempts, or security policy violations. This capability makes it useful for security teams conducting forensic analysis or routine security audits of their AWS infrastructure. The detector processes CloudTrail data locally, allowing organizations to analyze their AWS access patterns without transmitting sensitive log data to external services. This approach supports compliance requirements and maintains data privacy during security investigations.
Common questions about AWS Key Usage Detector including features, pricing, alternatives, and user reviews.
AWS Key Usage Detector is A command-line tool that analyzes local CloudTrail files to detect off-instance AWS key usage patterns for security monitoring and forensic analysis. It is a Cloud Security solution designed to help security teams with AWS.
Multi-cloud compliance platform with 150+ frameworks and CIS benchmarks
Cloud service threat research & control library for AWS, Azure, and GCP
Cloud security platform for compliance, event analytics, and asset monitoring
CSPM platform for detecting misconfigurations & compliance gaps across clouds