Threat Landscape
Threat Landscape is an automated threat intelligence platform built for security analysts and SOC teams who need high-confidence, actionable intelligence — without the manual triage.
The platform continuously ingests and processes global OSINT and darknet sources, automatically extracting structured facts and filtering out noise before it reaches analysts. All intelligence is normalized into STIX 2.1 format, MITRE ATT&CK mapped, and correlated across threat actors, malware families, CVEs, TTPs, and IOCs — so teams spend time acting on intelligence, not building it.
Key capabilities include interactive dashboards, visualized STIX threat graphs, advanced search and filtering, darknet monitoring for leak-site claims and criminal chatter, automated daily and weekly digests, and a RESTful API for integration with SIEM, SOAR, and TIP platforms.
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OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.
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DarkOwl
We are the industry’s leading provider of darknet data, offering the largest commercially available database of darknet content in the world. DarkOwl offers a suite of data products designed to meet the needs of business looking to quantify risk and understand their threat attack surface by leveraging darknet intelligence. DarkOwl Vision UI and API products make our data easy to access in your browser, native environment or customer-facing platform. Darknet data is a proven driver of business success for use cases spanning beyond threat intelligence and investigations. DarkOwl API products allow cyber insurance underwriters and third party risk assessors to utilize discrete data points from the darknet and incorporate them into scalable business models that accelerate revenue growth.
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Chainer
A powerful, flexible, and intuitive framework for neural networks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort. Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures. Forward computation can include any control flow statements of Python without lacking the ability of backpropagation. It makes code intuitive and easy to debug. Comes with ChainerRLA, a library that implements various state-of-the-art deep reinforcement algorithms. Also, with ChainerCVA, a collection of tools to train and run neural networks for computer vision tasks. Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
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