Providence notifies Analysts of event results rapidly and reliably by leveraging machine learning and natural language processing.



Collect data from social media, blogs, forums and the darknet

Data Collection: Data collected by Providence includes usernames, posts, images and post metadata and is refreshed every 30 seconds

  • Over 130,000 news sources
  • Twitter
  • Facebook
  • YouTube
  • Reddit
  • LinkedIn
  • Pastebin
  • Darkweb
  • eBay

Data Fusion: Correlate events across platforms, thanks to our proprietary data schema which fuses unstructured data feeds

Bulk Upload: Set up an intelligence operation quickly by uploading entity and interest data in bulk from spreadsheets

Evidence Support: Data is captured and stored exactly as it appeared on the data source, so it can be used as evidence in investigations

Persistence: collected data is stored in the cloud so it is available to users even if the original content is deleted from the data source

Identify events of interest, quickly

Dashboard: Quickly identify concepts and information of interest and drill down into the details

Data Visualisations: The dashboard is comprised of configurable data visualisations including;

  • Graphs and charts such as pie charts, activity graphs, bar charts and many others
  • Geolocation mapping
  • Word cloud
  • Link charts
  • Data tables

All visualisations are interactive allowing the user to filter very quickly to specific information of interest

Search: Search within collected data. Use Boolean search and regular expressions to filter data shown on the dashboard and find information of interest quicker

Relevancy Ranking: Tackle your most important events first. Based on your past analysis, the relevancy engine uses machine learning and natural language  processing to automatically prioritise the events most likely to be of interest

Share intelligence across platforms and with other teams

Reports: create PDF reports of the data you have collected and the events you have identified

Scheduled Reporting: Receive reports based on your schedule, so you see the data you need when you want it

Alerting: Be alerted via email or SMS when specific events or topics are mentioned

Data Export: Download the data collected by Providence into .csv or JSON formats for use in other applications or for record keeping purposes

A Secure Platform

Secure Hosting: Providence is hosted in the Amazon4 Web Services (AWS) cloud in Sydney. The AWS infrastructure is approved by Australian Signals Directorate (ASD) and is on the Certified Cloud Services List (CCSL). Each customer has its own instance of Providence deployed within a virtual private cloud

Anonymous: Providence is deployed in a way that is nonattributable to both WorldStack and our clients. All API keys used for collection and IP addresses used by Providence are generic with no links to WorldStack or our clients



Providence draws in an ocean of online data, and with machine learning and natural language processing, turns it into organised and actionable intelligence.



OSINT 2.0 is the next generation of OSINT services that include artificial intelligence technologies such as machine learning and natural language processing.

The first generation of OSINT services focused on automating the collection of data from online platforms including social media, forums, blogs, and news sites. It also included techniques like sentiment analysis, but not the same sophisticated, adaptable AI-driven technology we use today.

Social media monitoring is a subset of OSINT services that focuses only on social media platforms. Sentiment analysis is a service, typically text based, which aims to derive the intention behind a document, and is not specific to any platform. In first generation OSINT services, this sentiment analysis engine is typically rules-based rather than driven by machine learning techniques.

OSINT 2.0 services build on these first-generation services by leveraging artificial intelligence techniques to automate the intelligence process after collection. Examples of these services include automated triage based on Analyst feedback, discovery of online accounts, sentiment analysis, and risk-scoring of user behaviour.


Security, Intelligence, and Risk

  • We all live our lives online, and that includes threat actors. Whether cyber criminals, or those planning activities for the real-world, the communication will happen online.
  • Providence monitors, detects, and alerts at any signal of threat. It intelligently learns and filters to cut the white noise of false positives, and just hones in on targeted persons or collectives of interest, and events situationally relevant to your organisation.
  • Unlike human Analysts, Providence search and pulls data from all nominated platforms concurrently. Drawing together these related but separate datapoints, a single, clear picture emerges.
  • One of the most difficult processes within security, intelligence, and risk is attribution on an attack. Providence assists in rapid incident response by not only identifying potential or even specific threat actors, but can also generate a picture of their motivations.


Does the platform perform language translation?2019-04-10T13:51:11+10:00

Not at this time. We support searching in multiple languages, but translation of collected content is not yet available. We are planning on implementing this feature soon. Manual translation is available via use of browser plugins.

Are we able to copy or duplicate projects?2019-01-05T15:52:05+11:00

Yes. You can make a copy of an existing entity or dashboard within the platform.

Are we able to run multiple dashboards at the same time?2019-01-05T15:52:15+11:00

Yes. You can run additional dashboards in a new browser tab or window. You can also show all dashboard data in an aggregated dashboard and drill down into each entity from within a single dashboard.

Can you export the data from the platform into Analyst Notebook?2019-01-05T15:52:26+11:00

Yes. We can export data as a CSV which can be imported using Analyst Notebook. See

Can the interface be changed from a dark background so I can see the text more easily?2019-01-05T15:48:48+11:00

Yes. Currently, white and dark backgrounds are available. We are working on adding additional accessible features to the product in the future.

Can we export the co-ordinate data from the platform, for use in other third-party applications?2019-04-14T18:32:54+10:00

Yes. Supported export formats include CSV and JSON.




1 GB Storage

$250Per Month Billed Annually
  • Additional GB $200
  • Email support
  • Access all data sources
  • Unlimited entities
  • Unlimited keywords
  • Unlimited filters
  • Unlimited users
  • Alerting
  • Reporting
  • Data export


5 GB Storage

$750Per Month Billed Annually
  • Onboarding including training $4000
  • Additional GB $150
  • Phone & email support
  • Access all data sources
  • Unlimited entities
  • Unlimited keywords
  • Unlimited filters
  • Unlimited users
  • Alerting
  • Reporting
  • Data export


30 GB Storage

$2500Per Month Billed Annually
  • Onboarding including training $8000
  • Additional GB $100
  • Premium support with SLA
  • Access all data sources
  • Unlimited entities
  • Unlimited keywords
  • Unlimited filters
  • Unlimited users
  • Alerting
  • Reporting
  • Data export


Custom Storage Options

  • Custom onboarding
  • Custom storage
  • Custom support solution
  • Access all data sources
  • Unlimited entities
  • Unlimited keywords
  • Unlimited filters
  • Unlimited users
  • API integration
  • Standalone instance
  • Custom reporting



Providence uses Machine Learning to automate the process of finding information of importance for users. It finds this information much faster and more accurately than any user can do manually. It also automates the relevancy ranking (Low, Medium, High) to enable better and more immediate prioritisation for users.

As a case study, we took two weeks of social media posts on cyber security (1.6 million posts) and manually applied detailed filtering. We found 400 posts of relevance in the 1.6 million (of varying relevancy ratings). Providence was then applied to the entire 1.6m using 200 of the 400 posts we found as training data.

Not only did it find the 200 withheld, it found a further 200 (600 posts in total) and accurately applied relevancy ratings to them.

The 1.6 million posts represented 2-weeks of data and included 45 high-relevancy posts, translating to an average of approx. 3 High-Priority posts per day. Not only do Analysts receive important information much faster, the likelihood of missing critical data is substantially reduced.


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