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Description
ET Ducky serves as a comprehensive diagnostics platform and remote monitoring management (RMM) solution tailored for both Windows and Linux endpoints. It captures kernel-level events—utilizing ETW on Windows and eBPF on Linux—and processes them on the agent, ensuring that personally identifiable information (PII) is filtered out while leveraging AI to articulate the root causes of alerts in straightforward terms. Surrounding this foundational capability are essential RMM tools that enable teams to respond effectively, including a browser-based remote desktop, threshold alerts that come with pre-explained root causes, behavioral security measures like ransomware detection and host isolation, approved-script execution, insightful reporting, multi-agent queries, and fleet management functionalities. Notably, raw event data remains on the machine, with only the curated evidence and AI-generated conclusions transmitted to the cloud. Designed specifically for IT teams and managed service providers (MSPs), it aims to significantly reduce the time taken to resolve tickets that other solutions might only address superficially, integrating RMM, application performance monitoring (APM), and behavioral detection into a single streamlined product. Users can take advantage of a free tier by bringing their own AI key, while paid plans start at $39 per month, making it an accessible option for various organizations. Each feature is crafted to enhance operational efficiency and drive effective incident management.
Description
Syzkaller functions as an unsupervised, coverage-guided fuzzer aimed at exploring vulnerabilities within kernel environments, offering support for various operating systems such as FreeBSD, Fuchsia, gVisor, Linux, NetBSD, OpenBSD, and Windows. Originally designed with a focus on fuzzing the Linux kernel, its capabilities have been expanded to encompass additional operating systems over time. When a kernel crash is identified within one of the virtual machines, syzkaller promptly initiates the reproduction of that crash. By default, it operates using four virtual machines for this reproduction process and subsequently works to minimize the program responsible for the crash. This reproduction phase can temporarily halt fuzzing activities, as all VMs may be occupied with reproducing the identified issues. The duration for reproducing a single crash can vary significantly, ranging from mere minutes to potentially an hour, depending on the complexity and reproducibility of the crash event. This ability to minimize and analyze crashes enhances the overall effectiveness of the fuzzing process, allowing for better identification of vulnerabilities in the kernel.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
FreeBSD
Fuchsia Service Maintenance Software
GitHub
Jira
NetBSD
OpenBSD
ServiceNow
Integrations
FreeBSD
Fuchsia Service Maintenance Software
GitHub
Jira
NetBSD
OpenBSD
ServiceNow
Pricing Details
$39/month (free tier available
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
ET Ducky
Founded
2026
Country
United States
Website
etducky.com
Vendor Details
Company Name
Country
United States
Website
github.com/google/syzkaller
Product Features
RMM
Deployment Management
For MSPs
IT Asset Management
Mobile Access
Network Monitoring
Patch Management
Real-time Alerts
Remediation Management