/ overview /
Follow the Signal to the Fraud
Financial crime hides in the data trail it leaves behind. PertSol's iNteliProbe applies deep packet inspection and metadata correlation to trace cybercrime and fraud across networks — connecting communications, transactions, and identities that investigators would otherwise never link. Combined with speech recognition, it turns scattered digital evidence into a coherent investigative picture, helping agencies follow fraud from the first signal all the way to the suspect behind it.
/ challenges /
The Obstacles We Were Up Against
The trail crossed too many systems
Financial crime rarely sits in one place. Evidence scattered across communications, network traffic, and digital identities — each held in a different system, each meaningless on its own. Investigators spent weeks correlating fragments by hand, and by the time a picture formed, funds had moved and trails had gone cold. Without the means to connect data across sources, fraud networks operated faster than any investigation could follow.
Encrypted traffic concealed activity
Identities stayed hidden behind data
/ listing /
How We Address This
Deep Packet Inspection
iNteliProbe applies DPI-based interception to examine network traffic in depth, surfacing the communications and activity relevant to a fraud investigation from within high-volume data flows.
DPI-Based Interception
Network traffic is examined in depth to surface relevant activity.
Traffic Analysis
Communication flows are analysed to identify activity of interest.
Keyword Filtering
Pattern-based filtering isolates communications that matter.
Metadata Correlation
Communications metadata is cross-referenced across sources, connecting the records that link a fraud network together and revealing relationships investigators would otherwise have to assemble by hand.
Metadata Correlation
Records are cross-referenced to reveal connected activity.
xDR Generation
Detailed records are generated to support structured analysis.
Link Analysis
Connections between actors are mapped to expose the network.
Speech & Content Analysis
Speech recognition processes intercepted audio at scale, transcribing and surfacing the content relevant to an investigation without analysts having to listen through large volumes of communication.
Speech Recognition
Spoken content is transcribed and made searchable for analysts.
Content Analysis
Communications are analysed to surface relevant material.
Sentiment Detection
Tone and intent within communications are assessed.
Identity & Network Profiling
Identity correlation connects digital activity to the people behind it, helping investigators move from anonymous traffic to a named suspect and the network operating around them.
Identity Correlation
Digital activity is linked to the identities behind it.
Network Mapping
The structure of a fraud network is visualised for analysts.
Encrypted Traffic Discovery
Concealed flows are identified within network traffic.
/ key outcomes /
Outcomes Beyond Expectations
By combining deep packet inspection, metadata correlation, and speech recognition, PertSol helps agencies trace financial crime across the systems it hides in — connecting communications, activity, and identities into one investigative picture that leads from the first signal to the suspect.
Connected Evidence Trail
Metadata correlation links activity across sources into one coherent investigative picture.
Visibility Into Traffic
Deep packet inspection surfaces relevant activity from within high-volume network data.
Identity From Activity
Identity correlation connects anonymous digital traffic to the suspects behind it.
Faster Investigations
Automated correlation replaces weeks of manual effort, helping cases move before trails go cold.
Get in Touch with Our Experts to Select Your Requirement
Tell us your operational challenge and our team will map the right combination of PertSol's intelligence, interception, and location platforms to your mandate.
