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What is HTTPCS Cyber Vigilance?
An examination of HTTPCS solutions in relation to other automated tools within the cybersecurity landscape underscores the unique characteristics of each HTTPCS product. By navigating through the various tabs, users can discover how HTTPCS serves as a thorough alternative to current cybersecurity offerings. This evaluation includes Cyber Vigilance, a tool that vigilantly scans the darknet and promptly notifies organizations of potential cyber threats, alongside a comparison with four additional solutions. It also assesses six distinct tools that focus on scanning and uncovering security vulnerabilities on websites, measuring them against HTTPCS Security, renowned for its commitment to a 0% false-positive rate. Moreover, a review of four web integrity monitoring products takes place, contrasting them with HTTPCS Integrity, which is adept at detecting harmful files, malware, and internal discrepancies. To gain a deeper understanding of HTTPCS's capabilities, organizations are encouraged to request a demo or utilize a 14-day free trial of HTTPCS Integrity, allowing them to experience its features directly. This hands-on approach enables companies to make well-informed choices concerning their cybersecurity strategies. Ultimately, leveraging HTTPCS solutions could significantly enhance an organization’s overall security posture.
What is Darknet?
Darknet is an open-source neural network framework crafted with C and CUDA, celebrated for its rapid performance and ease of installation, supporting both CPU and GPU processing. The source code is hosted on GitHub, where users can delve deeper into its functionalities. Installing Darknet is a breeze, needing just two optional dependencies: OpenCV for better image format compatibility and CUDA to harness GPU acceleration. While it operates efficiently on CPUs, it can exhibit an astounding performance boost of around 500 times when utilized with a GPU! To take advantage of this enhanced speed, an Nvidia GPU along with a CUDA installation is essential. By default, Darknet uses stb_image.h for image loading, but for those who require support for less common formats such as CMYK jpegs, OpenCV serves as an excellent alternative. Furthermore, OpenCV allows for real-time visualization of images and detections without the necessity of saving them. Darknet is capable of image classification using established models like ResNet and ResNeXt, and has gained traction for applying recurrent neural networks in fields such as time-series analysis and natural language processing. This versatility makes Darknet a valuable tool for both experienced developers and those just starting out in the world of neural networks. With its user-friendly interface and robust capabilities, Darknet stands out as a prime choice for implementing sophisticated neural network projects.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Ziwit
Date Founded
2011
Company Location
France
Company Website
www.httpcs.com/en/comparision-httpcs/cybervigilance
Company Facts
Organization Name
Darknet
Company Website
pjreddie.com/darknet/
Categories and Features
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting