Financial Crime Management
ITC Infotech India Limited · Finance & Accounting
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 8 captures on record
What the publisher says
As described on Microsoft Marketplace.
Transaction Monitoring Systems (TMS) used by financial
institutions look at standard deviations, anomalies, and red-flag topologies.
Show the rest of the publisher’s description (36 more lines)
Being mostly rule based, they cannot assess a transaction in context of
transaction patterns, customer risk score, past alert history, etc. These rules
are designed to be overly cautious, as to not leave institutions open to a
hefty fine should an instance of money laundering go unnoticed. Hence, more
than 90% of the alerts generated by Transaction Monitoring System turns out to
be false positive.
Our Financial Crime Management Solution has been built as a
part of our Digital Banking Capability uses Hyper Automation – Artificial
Intelligence, Machine Learning, RPA and a strong data foundation – created by
way of a “Single Risk View of Customer”, to Identify True and False positive
alerts and automate end-to-end processes.
Our Solution
Built on Microsoft cloud platform, our solution is designed
to run large scale data and analytics workloads in a scalable and
cost-effective manner.
- Azure
Data Cloud Lake brings together all your big data from disparate sources across
cloud and on-premises environments into one central place.
- Customer
Insights comes equipped with the Power Platform. This makes it easy to import
data from just about any source, and includes Power BI, Power Apps, Microsoft
Access, Excel, JSON and REST APIs. It is easy to Map, Merge and Unify the data
and create a “Single Risk view of Customer”
- Azure ML
Studio offers an easy and flexible low code platform for building advanced
machine learning solutions.
- Dynamics
365 is being leveraged to build a robust case management system
- Microsoft
Power BI allows for creation and sharing of interactive data visualizations on
Financial Crime Compliance data across different dimensions. It meets the need
for a self-service and an enterprise data analytics on a single platform
- RPA based
process automation to automate manual operational processes like Case
Assignment, Managing inter/intra department communication, Filing SAR reports,
etc.
Preview
1 image
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
3 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.