Cross-Linking intel Data & Correlation Case Analysis with A.I. - Video
- Druti Panchal
- Mar 11
- 3 min read
Uncovering hidden patterns, and relationships that might reveal deeper link between the suspect for evidence collection is a very crucial part of an investigation process. When data is collected for intelligence analysis, especially through Open Source Intelligence (OSINT), it often includes a wide range of information about individuals. This can range from personal details and social media activities to connections like friend lists and interactions.
Could AI analyse and cross-link such data that is collected on multiple target profilers, to uncover common connections shared between them?
Inteliate is a tactical fusion system, that has an ability to ingest such OSINT reports on targeted profilers, to identifying mutual interactions, shared activities, or overlapping relationships that might reveal a deeper link between them.
How does it work:
A use case of OSINT report on 4 Target Profiles
When investigating deeper connections and relationships between individuals, social media platforms plays a crucial role, as it provide valuable insights into activities, interactions, and relationships.
For this use case, OSINT reports were generated for four individuals (Target Profilers) and each report contained following information.
Personal Details
Each profile contained basic personal information such as name, email ID, address, home number, date of birth, gender, and other identification details.
Facebook Profile Information
Detailed data from Facebook profiles was collected, including profile ID, user name, full name, join date, profile updates, friend count, URLs, location, workplace, education, contact details, and relationship status.
Facebook Posts
Information about posts made by the target profiler was collected, including post captions, creation dates, and the number of likes, shares, and comments on each post.
Facebook Friend List
A comprehensive friend’s list of people connected to the target profiler was gathered, containing details such as names, gender, location, hometown, friend counts, workplace, relationship status, contact information, and profile images.
Facebook Groups
Data on Facebook groups that the target profiler follows, or is a part of was included in the report. This data encompassed group IDs, group names, descriptions, group status, posts within the group, and membership lists.
Additional Information
The OSINT reports also included other data from various platforms, such as aliases or other names used online, work IDs, Telegram usernames, fax numbers, and associated domains.
Each individual (Target profiler) had over 600 friends and thousands of posts, leading to a massive dataset.
Correlation Abilities of Inteliate:
1. Mutual Geolocations: Inteliate can analyse geolocation data to uncover if two or more Target profilers share a common location. It can detect similarities in addresses, or mutual locations where posts were created on social media platforms like Facebook.
Example: In this case, the system identified that two out of four individuals shared the same city in a specific country.
Custom Output: Inteliate can generate geolocation intersections or combinations based on the user’s preferences, offering flexibility in analysing location-based data.
2. Mutual Friends: The system scans the friend lists of each target profiler, including those they follow and those who follows them. It identifies such friends that appears in OSINT report of 2 or more target profiler.
Value for Investigation: This helps investigators uncover additional suspects or connections that may need further analysis.
Advanced Filtering: Inteliate can narrow down the list of such mutual friends based on criteria like location, address, workplace, or education, allowing for a more refined understanding of their potential roles with the case.
Engagement: The system can also flag individuals who are highly active on a target profiler's Facebook profile, revealing their likes, comments, or frequent interactions.
3. Mutual Facebook Groups: Inteliate analyses the Facebook groups that target profilers are part of, and provides insights based on their group activities and interactions.
Common Group Detection: The system identifies such common groups that our target profiles are following for better understand of their potential intent, by analysing their posts, comments, and interactions within those groups.
Behavioural Analysis: By studying the activity in these mutual groups, Inteliate helps uncover shared motives, interests, or plans that might link to our target profiler.
4. Customise Your Own Correlation Questions: Inteliate allows users to ask customised correlation questions based on their specific investigative needs.
Users can filter data to analyse various factors, such as: common geolocations and mutual friends, shared workplaces or educational institutions, other user-defined combinations, etc.
Custom Output: The system understands these tailored queries and generates targeted outputs to provide a deeper understanding of the relationships between individuals with target profilers.
Analysing such a massive volume of data manually is time-consuming process, and prone to human error. Inteliate eliminates these challenges by empowering investigators to make informed decisions.
