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Description
CYBORA serves as a comprehensive Cyber Risk Resilience platform that continuously links every identified risk to the active systems and controls that govern it, ensuring that exposure is assessed on an ongoing basis rather than being evaluated just once a year.
Each risk is assigned an owner, treatment strategies, appetite thresholds, and is visualized on a 5x5 matrix, with control mapping aligned to standards such as ISO 27001, NIST CSF, SOC 2, PCI DSS, HIPAA, GDPR, CIS v8, DORA, and NIS2. Additionally, the platform evaluates third-party risks using 34 deterministic rules, including those related to DORA Article 28 concentration exposure. Assets and AI models are systematically registered and categorized to comply with the EU AI Act's risk requirements.
The detection process feeds directly into the risk register, utilizing OSINT and darknet surveillance, tracking of Indicators of Compromise (IOCs), and managing security operations center (SOC) cases with MITRE ATT&CK framework integration, while also offering SIEM exports to platforms like Splunk, Elastic, and Sentinel. To ensure robust risk management, the system incorporates business impact analyses, continuity planning, and a dynamic crisis workspace, effectively closing the feedback loop.
The service is provided from locations in Lithuania, the UK, and the US, allowing for a private tenant setup with the security of dual 256-bit encryption keys, options for self-hosting, and support for over 20 languages. This versatility makes CYBORA an essential tool for organizations aiming to enhance their cybersecurity posture.
Description
Darknet is a neural network framework that is open-source, developed using C and CUDA. Known for its speed and simplicity in installation, it accommodates both CPU and GPU processing. The source code is available on GitHub, where you can also explore its capabilities further. The installation process is straightforward, requiring only two optional dependencies: OpenCV for enhanced image format support and CUDA for GPU acceleration. While Darknet performs efficiently on CPUs, it boasts a performance increase of approximately 500 times when running on a GPU! To leverage this speed, you'll need an Nvidia GPU alongside the CUDA installation. By default, Darknet utilizes stb_image.h for loading images, but for those seeking compatibility with more obscure formats like CMYK jpegs, OpenCV can be employed. Additionally, OpenCV provides the functionality to visualize images and detections in real-time without needing to save them. Darknet supports the classification of images using well-known models such as ResNet and ResNeXt, and it has become quite popular for employing recurrent neural networks in applications related to time-series data and natural language processing. Whether you're a seasoned developer or a newcomer, Darknet offers an accessible way to implement advanced neural network solutions.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$250/month
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
CYBORA
Founded
2026
Country
Lithuania
Website
cybora.tech
Vendor Details
Company Name
Darknet
Website
pjreddie.com/darknet/