Overview
Given the continued growth of PAI, managing the volume and speed of data is a major challenge for intelligence analysts and decision-makers. BAE Systems designed OSINT DSP to ingest, process, and extract meaningful knowledge from the firehose of variegated PAI data sources. The OSINT DSP delivers a comprehensive interactive development environment (IDE) with data science and machine learning tools for better managing OSINT and PAI. It provides the ability to curate and visualize high velocity OSINT data across a variety of sources including news websites, social media, and deep and dark web. The OSINT DSP utilizes a range of scientific computing libraries such as Pandas, Matplotlib, Scipy, Sci-kit Learn, and others. It integrates a Jupyter-based IDE, including Anaconda, and facilitates collaboration across users. Jupyter offers a robust report writing capability and includes inline visualization. The OSINT DSP also includes an example notebook that illustrates practical implementation of Apache Drill data connections, as well as a complementary OSINT notebook to perform automated text summarization. The Apache Drill search engine, packaged within the offering, provides example connectors that can be used to interface with a variety of storage technologies (e.g., MySQL and Elasticsearch). Apache Drill also has connectors that facilitate access to proprietary databases commonly used within the Intelligence Community (IC).
Highlights
- Turn-key data science environment for OSINT analysis, exploitation, and dissemination.
- Clean, out-of-the-box data science and machine learning platform that leverages Jupyter notebooks to enable rapid development in a data centric MLOps lifecycle.
- Versatile connectors interface with a range of storage technologies and compatibility with common IC databases.
Details
Pricing
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.12/per GB/month of provisioned storage |
Vendor refund policy
Please refer to the standard AWS Marketplace contract.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
updated installed packages to latest versions
Additional details
Usage instructions
This product uses the Jupyter password as the product license. To acquire a product license contact support at analyticslab.is@baesystems.com .
Access Jupyter interface by entering the server IP into a browser with port 8888, apache drill is on port 8047
Resources
Vendor resources
Support
Vendor support
Limited analyticslab.is@baesystems.com
AWS infrastructure support
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