Frame-2085666935

Blind Spot Audit

Secure fraud your IDV already approved.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

Frame-2085666935

Deepfake Detection

Check where deepfake IDs slipped
through your stack.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

Frame-2085666935

Liveness Detection

Find the replay gaps in your passed
liveness checks.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

Frame-2085666935

Document Deepfake Detection

Spot synthetic documents hiding in
verified users.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

Frame-2085666935

Document Originality Detection

Stop fake documents before they pass.

Runs On Your CloudRuns On Your Cloud

No Data SharingNo Data Sharing

No Contract RequiredNo Contract Required

.

Introducing Blind Spot Audit. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

Introducing Blind Spot Audit Teg-1

Spot AI-generated forgeries with advanced document analysis.

Run Now right-arrow-2
  • .

    Introducing Deepfake Detetction. Detect deepfakes with precision your stack has missed. Teg-1 Run Now on AWS right-arrow-2

    Introducing Deepfake DetetctionTeg-1

    Detect deepfakes with precision your stack has missed.

    Run Now right-arrow-2
  • .

    Introducing Liveness Detection. Detect spoofs with technology built for sophisticated fraud. Teg-1 Run Now on AWS right-arrow-2

    Introducing Liveness DetectionTeg-1

    Detect spoofs with technology built for sophisticated fraud.

    Run Now right-arrow-2
  • .

    Introducing Document Deepfake Detection. Spot AI-generated forgeries with advanced document analysis. Teg-1 Run Now on AWS right-arrow-2

    Introducing Document Deepfake DetectionTeg-1

    Spot AI-generated forgeries with advanced document analysis.

    Run Now right-arrow-2
  • .

    Introducing Document Originality Detection. Verify document authenticity before your next audit. Teg-1 Run Now on AWS right-arrow-2

    Introducing Document Originality DetectionTeg-1

    Verify document authenticity before your next audit.

    Run Now right-arrow-2
  • us

    216.73.216.219

    Asian Banks push for greater Fintech to cut down AML Compliance cost

    Fintech AML Compliance

    Asian Banks are now asking their regional and national regulators to allow more fintech in order for them to cut down AML compliance costs. Recent months have seen regulators and financial watchdogs – especially in Far East and Southeast Asia – slapping huge fines and tightening overall AML guidelines. Both these measures have an impact of double edged sword for the revenues of Asian banks that simultaneously dwindled in the light of multi million dollar fines and compliance costs. This is the reason why banks are looking to employ cheaper yet effective fintech to perform AML compliance in place of large swaths of compliance staff.

     AML Compliance Costs

    Asian Banks have millions of accounts, tens of thousands of bank branches and billions worth of american dollars being transferred on daily basis. This huge scale of operations demand an equally huge workforce to ensure compliance regarding AML guidelines issued by financial watchdogs and regulators. On average, in 2017 there were 307 employees tasked to make operations of a financial institution compliant with AML guidelines applicable in this region. This is more than 4 times the number of employees that were working on average in a financial institution to perform AML Compliance in 2016.

    HSBC, one of the major Asian banks having strong presence in the region, spent in excess of USD 3 Billion, just in 2017 for AML compliance and tripled its human resource in the span of 4 years. It has now 8600 employees on its payroll only performing compliance based operations.

    What Fintech can do for AML Compliance?

    Right now, fintech is the only logical and workable solution for Asian banks to cut down cost on compliance measures without seriously affecting their crusade against money laundering activities. Despite a large number of AML Compliance staff, financial criminals have been able to find out ways to circumvent AML Compliance measures of these banks, leading financial regulators to fine huge monetary penalties over these banks.

    In a recent case, Commonwealth Bank of Australia was fined hundreds of millions of dollars by Austrac when it was find out that thousands of accounts were not being monitored under AML compliance guidelines of financial watchdog. Fintech can defeat both known and unknown money launderers and can detect suspicious transactions  in far less time as compared to a human staff of compliance officers. Automated systems developed by Fintech can run background checks in a few minutes to check the past transaction history. In case of an usual amount of online funds transfers, a 24 hour vigilant AML Compliance solution can redflag the account for the banking staff. 

    Why regulators are reluctant about Fintech?

    Well there is no stated or on-the-record resistance shown by regulators for introduction of fintech in order to provide AML Compliance. Infact, financial watchdogs have been encouraging about the use of fintech in banking sector and financial institutions. But they always require banks to utilise technology and manuals that are pre-approved by the regulators for use in banks and financial institutions. This creates a bottleneck to gain approvals for fintech given the limited technological expertise of financial regulators and even smaller number of individuals tasked with approval of fintech. Bureaucratic behaviours and red-tape slows the process of approval of fintech, thus forcing banks and financial institutions to employ higher number of workers and spending millions of dollars while fintech software spend months and months in approval grind mill.

    Best Solution

    When it comes to fintech for AML Compliance, there is hardly any match of the Artificial Intelligence backed Shufti. It is an end-to-end ID verification SaaS product that provides a comprehensive suite of verification services and one of them is AML Compliance. Shufti has gathered a large databank to perform background checks for AML Compliance. This huge dataset contains information from 1000 Watch lists, Sanction lists and Politically Exposed Persons list. In addition to that, individuals and enterprises present on 3000 databases of international watchdogs are also part on this databank.

    Shufti makes sure that every new customer of a bank or financial institution is checked against this vast databank to ensure that no person red flagged in any part of the world for his/her involvement in financial crime, becomes part of bankroll or account list.

    Related Posts

    Blog

    5 Key Takeaways from the FATF Horizon Scan Report on Deepfakes

    5 Key Takeaways from the FATF Horizon Scan Report on Deepfakes

    Explore More

    Blog

    Fraud Prevention in Capital Markets for Protecting Investors and Firms

    Fraud Prevention in Capital Markets for Protecting Investors and Firms

    Explore More

    Blog

    How the Use of AI in Fraud Prevention is Reshaping Financial Crime Detection

    How the Use of AI in Fraud Prevention is Reshaping Financial Crime Detection

    Explore More

    Blog

    Identity Verification Trends In 2026

    Identity Verification Trends In 2026

    Explore More

    Blog

    The Challenges of Address Verification in Mexico

    The Challenges of Address Verification in Mexico

    Explore More

    Blog

    Here Is The Right Approach To Deepfake Detection In 2026 To Prevent Identity Spoofing

    Here Is The Right Approach To Deepfake Detection In 2026 To Prevent Identity Spoofing

    Explore More

    Blog

    A Practical Guide for Regulatory Compliance in Banking

    A Practical Guide for Regulatory Compliance in Banking

    Explore More

    Blog

    5 Key Takeaways from the FATF Horizon Scan Report on Deepfakes

    5 Key Takeaways from the FATF Horizon Scan Report on Deepfakes

    Explore More

    Blog

    Fraud Prevention in Capital Markets for Protecting Investors and Firms

    Fraud Prevention in Capital Markets for Protecting Investors and Firms

    Explore More

    Blog

    How the Use of AI in Fraud Prevention is Reshaping Financial Crime Detection

    How the Use of AI in Fraud Prevention is Reshaping Financial Crime Detection

    Explore More

    Blog

    Identity Verification Trends In 2026

    Identity Verification Trends In 2026

    Explore More

    Blog

    The Challenges of Address Verification in Mexico

    The Challenges of Address Verification in Mexico

    Explore More

    Blog

    Here Is The Right Approach To Deepfake Detection In 2026 To Prevent Identity Spoofing

    Here Is The Right Approach To Deepfake Detection In 2026 To Prevent Identity Spoofing

    Explore More

    Blog

    A Practical Guide for Regulatory Compliance in Banking

    A Practical Guide for Regulatory Compliance in Banking

    Explore More

    Take the next steps to better security.

    Contact us

    Get in touch with our experts. We'll help you find the perfect solution for your compliance and security needs.

    Contact us

    Request demo

    Get free access to our platform and try our products today.

    Get started
    Shufti-tick

    Thanks For Your Submission.

      close-form

      Run Document Deepfake on AWS

      Stop synthetic IDs and forged scans

      Enter your work email*