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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
No
API Access
Has API
No
Integrations
FreeBSD
No
Fuchsia Service Maintenance Software
No
GitHub
Yes
Jira
Yes
NetBSD
No
OpenBSD
No
ServiceNow
Yes
Integrations
FreeBSD
Yes
Fuchsia Service Maintenance Software
Yes
GitHub
No
Jira
No
NetBSD
Yes
OpenBSD
Yes
ServiceNow
No
Pricing Details
$39/month (free tier available
Free Trial
Yes
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
For MSPs
No
IT Asset Management
No
Mobile Access
No
Network Monitoring
No
Patch Management
No
Real-time Alerts
No
Remediation Management
No
