Tag: ZIGRAM
Banks risk missing mule networks beyond the first hop
Fraud proceeds rarely remain in the account where they first arrive. Money stolen through scams, account takeovers and payment fraud can be transferred through...
Refund fraud is exposing a new AML blind spot
Chargebacks and refunds have traditionally been treated as separate fraud and operational issues, but repeated payment reversals can reveal patterns that extend beyond individual...
Why AML automation still needs human judgment
Anti-money laundering (AML) teams are under growing pressure to process more alerts and investigations without proportionally increasing headcount. Automation can help relieve that burden,...
How Fraud-as-a-Service is reshaping financial crime
Fraud is increasingly being organised as a service, with criminal groups able to buy data, infrastructure, tools and specialist expertise rather than developing every...
UK AML strategy puts data and intelligence at centre of financial...
The UK is set to reshape its approach to anti-money laundering (AML) over the next three years, with a new government strategy calling for...
The AML risk hiding beyond sanctions screening
A customer can clear sanctions and politically exposed person (PEP) checks while still presenting risks that structured screening does not identify. A company director...
Money laundering risks grow across film financing
Film financing is coming under greater scrutiny as complex corporate structures, international investment and fragmented production chains create potential gaps in financial crime controls.
According...
Why account takeover fraud is harder to detect
Account takeover fraud is becoming harder for financial institutions to detect as criminals increasingly operate through legitimate customer credentials. A valid login, established account...
ZIGRAM partners with Q2 Technologies in Indonesia
ZIGRAM, a global RegTech company specialising in anti-money laundering, fraud monitoring and financial crime compliance solutions, has entered a strategic partnership with Q2 Technologies,...
Static AML models are failing, adaptive scoring is the fix
Financial institutions have long treated fraud and anti-money laundering (AML) as separate disciplines, run on separate timelines by separate teams. Fraud detection demands split-second...










