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Description
HookProbe is an innovative open-source intrusion detection and prevention system (IDS/IPS) designed to operate on Raspberry Pi and edge computing devices. By integrating eBPF/XDP for kernel-level packet filtering with advanced machine learning for threat classification, it provides a self-sufficient network security solution that does not rely on cloud services.
The system architecture features components like NAPSE, which handles AI-driven packet inspection; HYDRA, which manages the threat intelligence pipeline; SENTINEL, serving as the machine learning classification engine; and AEGIS, which orchestrates autonomous defense mechanisms. Remarkably, a single Raspberry Pi 5 can effectively manage over 11 million security events, accurately classify 177,000 machine learning verdicts, and monitor more than 11,800 attacker IP addresses—all without human intervention.
Notable functionalities include:
- Quick installation process taking only five minutes on a Raspberry Pi 5 or any compatible Linux device
- High-speed packet filtering and DDoS protection through eBPF/XDP
- Machine learning-driven threat classification categorizing events as benign, suspicious, or malicious
- Immediate security posture assessment using QSecBit scoring
- User-friendly web dashboard that enables live visualization of threats
- Implementation of post-quantum cryptography standards, specifically Kyber KEM
- A collaborative mesh defense system that enhances security across multiple nodes.
This combination of features ensures that HookProbe delivers a robust, adaptable, and highly autonomous security solution suitable for modern network environments.
Description
The Rinalogy Classification API offers a flexible machine learning solution that seamlessly integrates into your existing application while allowing you to operate within your own infrastructure. In contrast to traditional cloud-based machine learning APIs that necessitate data transfer and operate in an external environment, Rinalogy allows for deployment within your IT framework, ensuring data security and compliance as it works behind your firewall. This API utilizes Exhaustive Sequential Classification, systematically applying models to every document within a dataset. The models generated can be enhanced with additional training data or leveraged for predicting outcomes on new documents at a later time. With its ability to scale through cluster deployment, you can modify the number of workers based on your current workload needs. Furthermore, the Rinalogy API empowers client applications by incorporating features such as text classification, enhanced search capabilities, and personalized recommendations, providing a comprehensive toolkit for data-driven decision-making. This versatility makes it an appealing choice for organizations aiming to optimize their machine learning processes while maintaining control over their data.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$9/month
Free Trial
Free Version
Pricing Details
No price information available.
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
HookProbe
Founded
2022
Country
Romania
Website
hookprobe.com
Vendor Details
Company Name
RINA Systems
Country
United States
Website
www.rinasystems.com/product/rinalogy-api.html
Product Features
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
