Sequence Analysis in CSAS v3.17

Communication data investigations often involve vast amounts of call detail records, making it difficult to identify meaningful patterns quickly.

That's why CSAS v3.17 introduces Sequence Analysis, a powerful new analytical capability designed to help investigators uncover communication behaviours within high volume CDR datasets faster and with greater confidence.

Identify Patterns That Matter

Sequence Analysis automatically highlights linked communication chains and switching behaviour that may otherwise be buried within thousands of records.

Instead of manually reviewing complex datasets line by line, investigators can rapidly identify patterns that could indicate:

  • County Lines activity

  • Alternative contact routes

  • Multiple devices linked to the same individual

  • Organised communication networks

  • Device switching behaviour

By surfacing these connections automatically, Sequence Analysis helps investigators spend less time searching for patterns and more time progressing investigations.

Designed for Operational Reality

Investigations are becoming increasingly data rich, but the time available to analyse that data isn't increasing at the same pace.

Sequence Analysis was developed to address a common challenge faced by analysts and investigators: identifying communication sequences efficiently within large volumes of data.

In practice, significant communication patterns can be hidden amongst thousands of records. For example, a suspected drug line may receive a call from a known drug user before contacting a vulnerable juvenile shortly afterwards. When the same sequence of activity occurs repeatedly across a dataset, identifying that pattern through manual review alone can be both difficult and time consuming.

The result is a capability that reduces the manual effort required to review complex call records while helping users identify potential relationships and communication patterns for further analysis. Sequence Analysis highlights recurring communication behaviours that may warrant further investigation, supporting investigative enquiries, safeguarding activity, and the preservation of critical evidence. While CSAS does not determine intent or criminality, it can help investigators identify patterns that may be consistent with emerging lines of enquiry.

Built Through Collaboration

The most valuable software improvements come from understanding real operational challenges.

Sequence Analysis is another example of how customer collaboration continues to shape the evolution of CSAS. Feedback from investigators and analysts highlighted the need for faster ways to identify communication patterns within large datasets, and that feedback directly informed the development of this capability.

By listening to the people using CSAS every day, we're able to turn operational requirements into practical tools that deliver meaningful investigative value.

Available Now in CSAS v3.17

Sequence Analysis is available as part of CSAS v3.17, helping investigators analyse communication data more efficiently, identify patterns faster, and support evidence-led investigative decision making.

As investigative challenges continue to evolve, so will CSAS.


Contact your Customer Success Manager and IT teams today to start your upgrade.

You can view the full release notes for CSAS v3.17 on our Customer Portal.