Many scenarios require a sequence of actions, including identifier lookup, filtering, refinement, and data expansion through multiple queries. These intricate processes may also entail the application of sophisticated algorithms, functions, statistical methods, and AI models based on machine learning for classification and scoring.
In Taltosh, these steps are encapsulated within case resolvers. These resolvers can accept various parameters but ultimately provide straightforward and actionable solutions to complex queries. Resolvers run on top of factual event data collected from CDR, IPDR, Signaling SS7, Social media, Gate records, Bank transfer including any timestamped log that you bring.
Profiler Case Resolvers cover most parts of the criminal investigation and intelligence tasks related to expanding knowlendge on a given set of identifiers, entities or groups. Taltosh identifies your dataset in your active workspace (or scope within workspace) and offers the list of compatible case resolvers that can be parametrized and run, delivering results immediately.
Profilers usually utilize a set of algorithms, a sequence of functions and on-demand you can bring your own AI models to evaluate and score the data for decisive profiling outcomes. Case resolvers can also be run on-line as data comes in real-time.
Case resolvers for profiling
Utilize a set of identifiers to resolve cases involving known targets.
Category
Geospatial Profiling
Built-in case resolvers
- Sleeping Patterns: Identify where targets typically sleep.
- Work Locations: Determine where targets work.
- Frequent Visits: Pinpoint locations visited by targets N times for at least T duration.
- Unexpected Visits: Highlight unexpected places visited in the last N months.
- Meeting Spots: Locate usual meeting spots of targets.
- Common Contacts: Identify common acquaintances and meeting participants.
- Interaction Analysis: Analyze interactions by type and participants.
- Colocation Analysis: Detect individuals colocated with targets for T duration and K times weekly.
- Following Patterns: Identify who followed the target and whom the target followed.
- Future Locations: Predict future locations of targets for upcoming weeks.
Category
Relational Profiling
Built-in case resolvers
- ID Associations: Find IDs associated with the target.
- Identifier Usage: Determine users of specific identifiers.
- Top Contacts: Identify top N contacts of the target.
- Connection Hops: Calculate connection hops between the target and others.
- Meetings Analysis: Check if targets have met by any means.
- Group Membership: Verify target’s membership in specific groups.
- Drop Phone Usage: Investigate the use of drop phones by the target.
- Vehicle Ownership: Detail vehicles driven by the target.
Category
Timeseries Profiling
Built-in case resolvers
- Activity Predictions: Predict the next possible activities of the target.
- Habit Analysis: Analyze daily habits of the target including communication channels
- Correlation with Contacts: Find high-correlation contacts in time.
- Suspicious Inactivity: Identify suspicious phone inactivity times.
- Daily Routine Mapping: Map out the daily routine of the target.
Category
Content Profiling
Built-in case resolvers
- Content Frequency: Analyze the most frequent content per event dimension.
- Interaction Type Distribution: Examine content payload distribution by interaction type.
Discovery specific case resolvers work on the data to find patterns and gather the connected identifiers, entities or groups that are tied to that specific pattern. This way you can quickly resolve issues with suspected but unknown perpetrators.
Discovery casee resolvers usually utilize a set of algorithms, a sequence of functions and on-demand you can bring your own AI models to evaluate and score the data for decisive profiling outcomes. Case resolvers can also be run on-line as data comes in real-time.
Case Resolvers for Discovery
Utilize a set of eventual data to resolve cases involving unknown targets.
Category
Discovery of groups and group characteristics
Built-in case resolvers
- Entity Identification: Identify distinct entities within data sets.
- Group Identification: Identify distinct groups within data sets.
- Group Emergence: New groups within a timeline within data sets.
- Central Figures: Locate the most connected person within a group.
- Membership Timeline: Order group members from newest to oldest.
- Group Associations: Identify potential associations with other groups.
- Group Extents: Define groups by link count and strength.
- Meeting Locations: Determine typical meeting places of groups.
Category
Activity based discovery
Built-in case resolvers
- Recent Activities: Investigate recent surge of activities by type and count.
- Hub Identification: Identify individuals becoming hubs for activities by type.
- Activity Hotspots: Highlight identifiers with the most activity by time or location.
Category
Smuggling, stash & base discovery
Built-in case resolvers
- Location Frequency: Identify who frequently visits key locations.
- Activity Hotspots: Find locations with new and frequent visits.
- Newcomer Identification: Detect new arrivals to specific locations.
- International Movements: Track arrivals from and departures to foreign countries.
- In-country Movements: Monitor arrivals from different locations within the country.
- Location Pass-Throughs: Identify identifiers moving through a set of locations.
- Unusual Phone Densities: Detect unusual phone densities in vehicles.
- Nontrivial Stops: Identify unusual stops by cross-country vehicles.
Do you have an unsolvable case?
Even if your case seems utterly complex we might already have a case resolver waiting for You!