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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.

What is CYBORA?

CYBORA functions as an all-encompassing Cyber Risk Resilience platform that perpetually connects every recognized risk to the active systems and controls that manage it, guaranteeing that exposure is monitored continuously instead of being assessed merely once a year. Every risk is allocated an owner, along with treatment strategies, appetite thresholds, and is represented visually on a 5x5 matrix, with control mapping that aligns with standards like ISO 27001, NIST CSF, SOC 2, PCI DSS, HIPAA, GDPR, CIS v8, DORA, and NIS2. The platform also examines third-party risks through 34 deterministic rules, including specifications outlined in DORA Article 28 regarding concentration exposure. Furthermore, assets and AI models are meticulously registered and categorized to meet the risk criteria set forth by the EU AI Act. The detection mechanism seamlessly integrates with the risk register by employing OSINT and darknet monitoring, tracking of Indicators of Compromise (IOCs), and managing security operations center (SOC) incidents, all while incorporating the MITRE ATT&CK framework and providing SIEM exports to systems like Splunk, Elastic, and Sentinel. To bolster effective risk management, the platform encompasses business impact analyses, continuity planning, and a dynamic crisis workspace, thereby ensuring a complete feedback loop is maintained. Operational from Lithuania, the UK, and the US, this service offers a private tenant setup secured with dual 256-bit encryption keys, alongside options for self-hosting and support for over 20 languages. Such flexibility and security make CYBORA an indispensable asset for organizations striving to elevate their cybersecurity defenses while adapting to the ever-evolving threat landscape.

Media

Media

No images available

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 Version
Free Trial Offered?

Pricing Information

$250/month
Free Version
Free Trial Offered?

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

Darknet

Company Website

pjreddie.com/darknet/

Company Facts

Organization Name

CYBORA

Date Founded

2026

Company Location

Lithuania

Company Website

cybora.tech

Categories and Features

Categories and Features

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