All episodes

In this episode:

The POSTIDENT process at Deutsch Post branches is used to confirm the details of an online registration.

For cost reasons, our customers use POSTIDENT as a fallback procedure if other identification methods such as SCHUFA, Open Banking or other VideoIdent methods are unsuccessful.

In this episode:

The POSTIDENT eID service utilises the Deutsche Post identification platform to verify the details of an online registration. All POSTIDENT services comply with the Money Laundering Act and the Telecommunications Act.

In this episode:

The insic service POSTIDENT by video chat uses Deutsch Posts identification platform to confirm the details of an online registration.

For cost reasons, the POSTIDENT variants serve as a secondary procedure if other identification methods like SCHUFA, Open Banking or other VideoIdent methods are unsuccessful.

In this episode:

The insic Shop- and Betting-Office identification system facilitates identification at the point of sale (POS). Terrestrial providers can integrate online and offline identification across all platforms.

In this episode:

What if the user has forgotten his IBAN? No problem! We reliably calculate the IBAN from the combination of sort code and account number. Based on the user's input, the system automatically identifies the correct form for conversion and, in case of uncertainty, prompts for the sort code.

In this episode:

The Loqate address checker automatically searches, corrects and standardises addresses as they are entered.
Integrated into the insic systems, the Loqate service searches addresses worldwide within milliseconds, without requiring a separate click.

In this episode:

The finAPI Credit card Check provides a secure method for verifying credit card data using OpenBanking, specifically designed for providers in highly regulated sectors such as online gambling, which is subject to strict anti-money laundering requirements (AML).

In this episode:

The Monitoring System searches for suspicious events in the data stream in real time and stores player-related warnings. The aggregation of individual warnings leads to suggested suspicious activity reports. The reports are then made available in a Kanban board for targeted processing, forwarding and, if necessary, escalation to the FIU.

In this episode:

The Monitoring System searches in real time for suspicious events in the data stream and stores player-related warnings. The aggregation of individual warnings leads to the determination of markers of harm, which are then provided on a KanBan board for focused processing and transmission to the authorities.

In this episode:

insic Monitoring enables real-time data analysis on your existing data streams.

It provides predefined metrics for monitoring damage markers and preventing money laundering in compliance with the AuA gambling guidelines, with reporting to the supervisory authorities. These predefined metrics can be customised without any programming knowledge.