Case AI Agent

We’ve introduced Pingwire's case AI Agent, designed to support investigators with contextual insights and recommendations directly within a case.

The AI Agent helps streamline investigations and improve consistency by analysing available data and highlighting what matters most.

The AI Agent can:

• Analyse the key risk areas for a case.
• Provide a detailed investigation summary with key findings and recommended actions for a case.
• Support decision-making with AI-generated insights
• Custom analysis - use your own prompts to analyse risks, uncover patterns, and generate tailored recommendations.

The agent operates strictly on data available within the case, as well as historical data related to the entities involved in the case.

As always, we welcome your feedback as we continue to refine and expand its capabilities.

IP data analysis

We’ve introduced IP address analysis to add behavioural risk signals to your monitoring and investigations. This adds a powerful behavioural risk layer to your AML and fraud controls by enriching every request with trusted third-party data such as geolocation and VPN detection. This enables detection of geographic risk, evasion attempts, and other suspicious behaviour, with a configurable depth of data collection to match your risk appetite and automated country-based rules to support consistent and efficient risk decisions.

Key capabilities:

• IP enrichment - IP addresses included in requests can now be enriched with additional metadata, such as geolocation and VPN/privacy indicators, providing more context for each interaction.
• IP history - All observed IP addresses are stored per entity, enabling you to analyse historical patterns, detect anomalies, and support investigations with behavioural insights over time.
• IP-based rules - You can now configure rules based on IP data, including:
  • Country allowlist 
  • Country blocklist
  • Additional rule types to come, such as VPN detection and IP variance thresholds.
• IP Data tab - A new IP Data tab has been added under KYC data, where you can view all collected IP insights for an entity to support further investigation.

Report service updates

We’ve improved the report service interface to make it easier to navigate, understand, and customise reports.

What’s new:

• Reports are now organised into categories for easier navigation. 
• Each report includes a clear summary and more detailed descriptions. 
• You can now choose which output parameters to include or exclude before generating a report.

These updates give you greater flexibility and control when generating reports for analysis, audit, or sharing purposes.

Iframe improvements

We’ve released an iframe capability to improve flexibility and integration options when embedding Pingwire components into external environments.

This feature allows our clients to control how forms and flows are presented and interacted within embedded contexts.

New rules related to invoice purchases

We’ve introduced two new rules to strengthen our monitoring capabilities related to invoice-based transactions.

• Rule "Invoice paid by issuer" - This rule checks whether the payer name of a transaction matches the invoice issuer or one of the issuer’s related individuals. A ping is triggered if the system detects that an entity appears to be paying their own invoice.
   
• Rule "Transaction monitoring typical amount" - This rule evaluates whether transaction amounts over a defined period fall within an expected range, based on default thresholds or KYC data. A ping is triggered when transaction amounts deviate from the expected pattern.