The digital landscape continues to change faster than the technologies used for intelligence gathering. Alongside the rapid evolution of digital communication platforms, the sheer amount of information generated daily poses a significant challenge in terms of resources. Law enforcement agencies, private companies, or security consultancies alike suffer from shortage of personnel, time, and budget to run comprehensive investigations that could match the scale of their task.
Person-of-interest (POI) – Definition
Person-of-interest is a term originally widely used by law enforcement and intelligence officials to identify someone linked to and/or in possession of information pertinent to an ongoing criminal investigation. As the specialisation of online investigations grew beyond the military and law enforcement into private sectors, the term has been adopted by trained practitioners (for example cyber security experts or open-source intelligence analysts) conducting specialised investigations of persons. The term has no legal implications.
Nowadays, the persons suspected of illicit activities are tech-savvy and resourceful; with access to a much broader set of tools to conceal their identity and activity online. As a result, it became much easier for persons-of-interest (POI) in investigations to slip under the radar of LEAs, prosecutors, or investigative journalists. Those searching for open-source intelligence have to be particularly vigilant in exploring every angle.
However, there is one important aspect of POI investigations, which can sway the conclusions of an OSINT report, namely context.
Connecting the Dots with Context Awareness in OSINT Investigations
Peter Cochrane, an international sought-after advisor and consultant with over 40 years of technology and operational experience, summarised the necessity for context awareness in interpreting intel perfectly during last year’s HENSOLDT Analytics Intelligence Webinar on the topic of modern hybrid warfare:
“[…] intelligence systems have to be responsive to long-term monitoring and engage in deep observation and analysis of the situation. The data must be applied to the wider context to reveal unknowns and contingencies.”
This, postulated Peter Cochrane, calls for minimization conditions that foster errors, for example, focusing on narrow situation modelling or not factoring in human and machine cognitive bias.
Therefore, an efficient and conclusive strategy for OSINT investigations of POIs has to combine automated cross-media intelligence gathering workflows with open-source tools developed to target very specific information gaps.
Configuring the Media Mining System
The HENSOLDT Analytics system fuses a range of Neuronal Language Processing (NLP) and artificial intelligence (AI) together into one comprehensive platform. The Media Mining System enables users to schedule and to automatically collect, index, systematise, and visualise open-source information from TV, radio, internet, RSS feeds, and social media 24/7.
The result is a robust, fully configurable platform able to extract actionable insights for situational awareness reports on very specific topics and events. Think of the Media Mining System as a wide net cast into the sea of information to pick out only the relevant pieces of intel – pieces that the system has been specifically calibrated to find.
Calibrating the Media Mining System’s Profiles
The Media Mining System comes with a prefabricated set of Profiles (or Named Entities, NE’s) covering persons, organizations and locations. These can be extended by end-users with proper permissions and training. Further classes of profiles, such as natural disasters, diseases or financial entities can easily be created using the profile-editor. Profiles form the basic building blocks for the complex construction of hierarchical interconnection, the Ontologies. Profiles capture the different ways an entity can be referred to in the real-world and across different languages simultaneously.
Please refer to the user guide for a step-by-step instructions in creating profiles. If you had not purchased the Media Mining System but you are interested in hearing more about it, contact us now to schedule a live demo with our team.
Once the Media Mining System identifies key profiles, hashtags, influencers and platforms for the searched query, the open-source intelligence analysts can generate a report summarising key findings.
Now, equipped with the first detailed analysis, the investigator will continue with their deep web search to gather additional open-source information for a complete Person-of-Interest report.
We asked our in-house OSINT analysts to share their favourite and freely available resources for performing a deep-dive investigations meant to uncover the digital footprint of POIs. The following open-source investigative tools supplement the existing features of the Media Mining System.
14 Useful OSINT Tools for Persons-of-Interest Investigations
Use the tool to check if and where an email account was breached over the last years. It’s useful in tracking if an email had been used on more than one platform. This tool similar to Have I Been Pwned, however, Breach Checker focuses exclusively on email data breaches.
BuiltWith covers 60,409+ internet technologies which include analytics, advertising, hosting, CMS and many more. By entering a url in the search bar, you can see the elements a website had been built with and what tools it uses. With BuiltWith.com Technology Trends data back to January 2000.
This online service enables investigators to quickly check whether their POIs email or phone address featured in any of the past data breaches.
Allows users to instantly fetch any address or place from the Google Street View.
This tool helps you estimate and fact-check the maximum number of people standing in a given area.
According to the creator of the Reddit Search tool, this application allows for cross-post and comment search, as well as specific user or subreddit search. In addition, OSINT analysts can aggregate data to identify trends. As of 2022, reddit is blocked in India, Indonesia, Russia, and China.
This service allows you to browse radio stations by rotating the 3D globe. It doesn’t map all of the existing stations but it’s a helpful tool to add local reference sources to your report.
The Snap Map service ran by Snapchat aggregates a selection of public snapchat media. The information includes geolocations.
Strava’s Global Heatmap focuses specifically on monitoring and visualising ‘heat’ made by aggregated, public activities over the last year. The public data shared by athletes from around the world identifies activity hotspots. The tool is also used by athletes to identify their next destination.
For those investigating events from all angles, weather conditions can play an important part in explaining the context of the POI’s movements. The Ventusky app provides interesting food for thought. The tool clearly displays meteorological data from around the world and allows users to monitor weather developments for any place on Earth at different times. Depending on data sources, some of the data visualisations date back decades.
The Wayback Machine captures websites as they are and stores the screenshot, url changes, and the timeline of changes for reference. The Wayback Machine is a crucial resource in the fight against disinformation as it records content meant to be ephemeral.
TinEye’s computer vision, image recognition and reverse image search matches your upload image with its duplicates online. It’s a useful tool for verifying users activity or connecting images to stock images databases.
Whois lists domain information allowing users to check the person owning the website you are looking at. The information provided to the Whois registry is voluntarily provided by the domain owners and unverified by the service.
A useful email verification tool, which connects to the mail server and checks whether the mailbox exists or not.