10

Alert Inbox

Signals from AML engines, risk models, complaints and the negative database await pre-EDD triage.

Decision Manager: rules v4.2 + mule model v2.1
AlertSourceAccount / UPICustomerTriggerReceivedSignalAction
AL-1041Negative Database
XXXX4417
rahul.mehra@okaxis
Rahul MehraUPI handle found on betting collection page20704d ago
VH · Very High
AL-1042Fraud / AML Engine
XXXX9082
sneha.rao1@ybl
Sneha RaoRapid pass-through, 22 counterparties in 3 days20704d ago
H · High
AL-1043Risk Model
XXXX1120
kmurthy@okhdfcbank
K. MurthyModel score 0.71 — mule propensity20704d ago
M · Medium
AL-1044CRM Complaint
XXXX3388
quickjobs.hr@paytm
Imran Shaikh3 victim complaints — fake job offers20704d ago
VH · Very High
AL-1045External Intelligence
XXXX7761
deepa.k@ibl
Deepa KrishnanHandle referenced in scam Telegram channel20704d ago
H · High
AL-1046Risk Model
XXXX5093
arvind.s@okicici
Arvind SureshSalary account, benign velocity uplift20704d ago
L · Low
AL-1047Fraud / AML Engine
XXXX2210
shopmarttrend@ybl
Nikhil BansalStructuring below ₹50k threshold20705d ago
H · High
AL-1048Negative Database
XXXX6644
trader.pro9@okaxis
Vikas YadavFuzzy match to known investment-scam handle20705d ago
M · Medium
AL-1049Risk Model
XXXX8890
meena.g@okhdfcbank
Meena GuptaDormant 120d then ₹4.2L throughput20705d ago
H · High
AL-1050CRM Complaint
XXXX7005
prime.subs@ybl
Rohit NairUnauthorised subscription debits reported20705d ago
M · Medium