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What is EagleEye?

EagleEye serves as a holistic solution that provides continuous detection and oversight of threats lurking in cloud environments, guaranteeing ongoing vigilance of a company’s cloud infrastructures while identifying atypical behaviors and triggering automated response actions. By utilizing serverless technologies such as AWS Lambda, Amazon EventBridge, and Amazon SQS, it proficiently captures and scrutinizes cloud-trail logs from a variety of services, including S3 and IAM, to uncover policy breaches or unauthorized alterations, and promptly alerts the appropriate teams or implements corrective actions. This platform integrates smoothly with Cloudnosys's wide-ranging cloud-security and compliance functionalities, thereby improving visibility, governance, and automation for remediation across diverse cloud accounts. Additionally, EagleEye perpetually monitors configurations of cloud resources, identity and access activities, along with modifications to networks and storage, producing alerts that can seamlessly interface with external tools like Slack, email, or SOAR workflows, ensuring rapid incident response capabilities. Consequently, organizations are empowered to uphold a strong security framework while effectively navigating their cloud landscapes, thereby fostering a more resilient operational environment. Furthermore, the adaptability of EagleEye allows it to evolve alongside emerging threats and organizational needs, making it a vital component of modern cloud security strategies.

What is DragonFly IoT Active Shooter Sensors?

An outdoor wireless gunshot detection sensor is engineered to capture energy waves, analyze their patterns, and transmit the refined data to the Emergency Automatic Gunshot Detection & Lockdown (EAGL) system, which serves as a sophisticated Gunshot Detection System (GDS). This innovative, compact sensor operates on battery power and conducts validation analysis to effectively distinguish between legitimate threats and benign noises using advanced algorithms that analyze energy waveforms. Designed to be housed within a resonance chamber, it can be conveniently mounted on walls, in corners, or on poles, providing optimal spherical coverage for detection purposes. It wirelessly sends threat validation data to the EAGL System Server via an integrated Quectel module. Upon receiving the data, the EAGL System Server carries out further processing to trigger the appropriate pre-programmed automated and adaptive response protocols. Moreover, the sensor can also accept calibration updates from the EAGL Server, employing the same communication protocols to ensure smooth functionality and precision. This dual capability not only improves detection accuracy but also enhances the system's overall responsiveness in critical situations, ultimately contributing to a safer environment. The continuous updates and advanced analysis make the system adaptable to evolving threats.

Media

Media

Integrations Supported

AWS Identity and Access Management (IAM)
AWS Lambda
Amazon EventBridge
Amazon S3
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Cloudnosys
Google Cloud Platform
Microsoft 365
Microsoft Azure
Mosaic by MethodWorx
Slack

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Cloudnosys

Date Founded

2016

Company Location

United States

Company Website

cloudnosys.com/eagleeye

Company Facts

Organization Name

EAGL Technology

Company Location

United States

Company Website

eagltechnology.com/dragonfly-iot/

Categories and Features

Cloud Compliance

Not specified

Cloud Security

Not specified

Categories and Features

Gun Detection

Not specified

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