Financial Crime Prevention System

A Financial Crime Prevention Group typically refers to a collaborative effort involving individuals, organizations, or institutions working together to combat and prevent financial crimes.

Financial crimes encompass a wide range of illegal activities related to money, including fraud, money laundering, corruption, embezzlement, and various forms of white-collar crime.

These groups aim to detect, investigate, and mitigate such activities to maintain the integrity of financial systems and protect individuals and businesses from financial harm.

Financial Crime Prevention Group Features

Collaboration

  • Multi-stakeholder involvement, including government agencies, law enforcement, financial institutions, regulatory bodies, and private sector organizations.
  • Information exchange and teamwork can improve the effectiveness of crime prevention efforts.

Information Sharing

  • Exchange of relevant data and intelligence to identify patterns, trends, and potential threats.
  • Coordination to create a comprehensive understanding of financial crime activities.

Technology and Analytics

  • Utilization of advanced technologies, including data analytics, artificial intelligence, and machine learning, to analyze large datasets for identifying suspicious activities.
  • Implementation of technological solutions to strengthen fraud detection and prevention mechanisms.

Regulatory Compliance

  • Financial Crime Prevention Groups prioritize continuous compliance with both local and international regulatory standards, ensuring that their operations align with legal requirements and industry best practices.
  • Continuous improvement efforts focus on implementing and refining measures to ensure Anti-Money Laundering (AML) and Know Your Customer (KYC) compliance, enhancing the ability to detect and prevent illicit financial activities while maintaining regulatory adherence.

Training and Awareness

  • Continuous improvement in training and awareness involves regularly updating programs to reflect the latest financial crime trends and regulatory changes.
  • By promoting a culture of vigilance and compliance, organizations ensure that members and stakeholders remain informed and proactive in preventing financial crimes.

Investigation and Enforcement

  • Continuous improvement in investigation and enforcement involves refining techniques, adopting advanced technologies, and fostering seamless collaboration with law enforcement.
  • Regular training, integration of cutting-edge tools, and proactive international cooperation contribute to more effective prosecution and enforcement actions against suspected financial crimes.

Risk Assessment

  • Continuous improvement in risk assessment involves ongoing refinement of processes to adapt to changing threats and vulnerabilities.
  • By regularly reassessing risks, Financial Crime Prevention Groups can proactively identify emerging issues, refine mitigation strategies, and ensure the resilience of financial systems against evolving challenges.
  • This iterative approach enhances the group's ability to stay ahead of potential risks and strengthens its overall risk management framework.

Continuous Improvement

  • Continuous improvement is a dynamic imperative for Financial Crime Prevention Groups, involving ongoing assessments and refinements of strategies to effectively counter the ever-changing landscape of financial crimes.
  • By regularly scrutinizing and enhancing their processes, these groups ensure a proactive stance against emerging threats, fostering adaptability and resilience in safeguarding financial systems.

Use Cases


Banking

Fraud Detection and Prevention

Employing advanced analytics to identify and prevent fraudulent transactions, protecting customers and the bank from financial losses.

Money Laundering Prevention

Ensuring strict adherence to anti-money laundering (AML) regulations to detect and prevent illicit financial activities within the banking system.

Insurance

Cybercrime and Digital Fraud Prevention

Implementing proactive cybersecurity measures to combat digital threats and fraudulent activities targeting insurance companies and policyholders.

Identity Theft Prevention

Safeguarding against identity theft to protect policyholders' personal information and maintain the integrity of insurance processes.

Financial Services

Insider Trading Monitoring

Monitoring and preventing illegal insider trading activities within financial institutions to maintain market integrity and protect investors.

Credit Card and Payment Fraud Prevention

Implementing measures to identify and prevent unauthorized credit card transactions and payment fraud in financial service transactions.

Government and Law Enforcement

Terrorist Financing Prevention

Detecting and disrupting financial activities that may contribute to terrorist financing, ensuring compliance with global counter-terrorism measures.

Corruption and Bribery Investigations

Investigating and preventing corrupt practices by individuals or entities within the financial sector through coordinated efforts and regulatory compliance.

Healthcare & Cross-Industry Collaboration

Regulatory Compliance Monitoring

Ensuring adherence to financial regulations, including know your customer (KYC) and customer due diligence (CDD) requirements, to mitigate legal and compliance risks.

Cross-Border Financial Crime Collaboration

Facilitating international cooperation to address cross-border financial crimes and money laundering activities.

Comply with guidelines set by the


RBI, IRDAI and SEBI

Guidelines set by the RBI

Anti-Money Laundering (AML)

Know Your Customer (KYC) Compliance

Fraud Prevention and Detection

Cybersecurity

Transaction Monitoring

Customer Education and Awareness

Whistleblower Mechanism

Guidelines set by the IRDAI

Fraud Prevention and Detection in Insurance

Know Customer (KYC) Compliance in Insurance

Customer Protection Measures

Compliance Reporting to IRDAI

Inspection and Audit Compliance

Product Approval and Compliance

Customer Grievance Redressal

Guidelines set by the SEBI

Insider Trading Prevention

Market Manipulation Detection

Fraud Prevention & Reporting in Securities Market

Transaction Monitoring in Securities Market

Cross-Border Transactions

Regulatory Reporting and Compliance

Investor Education and Protection

FCPG Version 1.0 Rule Engine covered Financial Fraud Detection and Tracking on KYC and Financial Documents

Sr.no Requirement Type(STD) Template (Type-T,Variant-V) Rule Count Rule Behavior
1
  1. PHOTO ID
  2. AGE PROOF(in case of individual BOI/AOP/HUF)
  3. PAN PROOF
  4. INITIATION/FORMATION PROOF(in case of COMPANY/LLP/PARTNERSHIP/TRUSTS)
  5. INCOME PROOF(non STD)
PAN CARD
T (2), v (8)
  1. Total (7)
  2. Active (6)
  3. ---------->
  4. INITIATION/FORMATION PROOF(in case of COMPANY/LLP/PARTNERSHIP/TRUSTS)
  5. INCOME PROOF(non STD)
  1. Verify Document Type, Key Value information cross Match with Application-Form Applicant and Co-Applicant details.
  2. Face, Sign and Header/ Footer Detect for Document Tampring.
  3. (Online) NSDL Data Cross Match with Pan card Key Value information.
2
  1. PHOTO ID
  2. AGE PROOF
  3. ADDRESS PROOF
  4. RELATION PROOF(NON STD)
AADHAR CARD (STD)
T (4), V (9)
  1. Total (9)
  2. Active (8)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (4)
  1. Verify Document Type, Key Value information cross Match with Application-Form Applicant and Co-Applicant details.
  2. Face and Header/ Footer Detect for Document Tampring.
  3. (Offline) Barcode/ Qrcode Data Cross Match with Aadhaar card Key Value information.
  4. (Online) UIDIA Data Cross Match with Aadhaar card Key Value information.
3
  1. PHOTO ID
  2. ADDRESS PROOF
AADHAR CARD (non STD)
T (4), V (9)
  1. Total (9)
  2. Active (8)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (4)
  1. Verify Document Type, Key Value information cross Match with Application-Form Applicant and Co-Applicant details.
  2. Face and Header/ Footer Detect for Document Tampring.
  3. (Offline) Barcode/ Qrcode Data Cross Match with Aadhaar card Key Value information.
  4. (Online) UIDIA Data Cross Match with Aadhaar card Key Value information.
4
  1. PHOTO ID
  2. AGE PROOF
  3. ADDRESS PROOF
  4. CITIZENSHIP PROOF
PASSPORT
T (2), V (4)
  1. Total (11)
  2. Active (10)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (4)
we also support MRZ reading
5
  1. PHOTO ID
  2. AGE PROOF
  3. ADDRESS PROOF
DRIVING LICENCE
T (77), V (115)
  1. Total (9)
  2. Active (8)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (4)
None
6
  1. PHOTO ID
  2. ADDRESS PROOF(non STD)
  3. AGE PROOF (non STD)
VOTER ID
T (92), V (161)
  1. Total (6)
  2. Active (5)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (2)
None
7
  1. PHOTO ID
  2. PAN PROOF
  3. ADDRESS PROOF
  4. INCOME PROOF
ITR 1-6
T (6), V (6)
  1. Total (23)
  2. Active (20)
  3. ---------->
  4. Disabled(3)
  5. Third Party (1)
  6. Universal (4)
None
8
  1. PHOTO ID
  2. COMPANY
  3. PAN PROOF(SELF/ BUSINESS)
  4. PAN PROOF(COMPANY)
  5. ADDRESS PROOF(SELF/ BUSINESS)
  6. ADDRESS PROOF(COMPANY)
  7. INCOME PROOF
FORM 16 A-B
T (2), V (2)
  1. Total (17)
  2. Active (11)
  3. ---------->
  4. Disabled(6)
  5. Third Party (1)
  6. Universal (4)
None
9
  1. PHOTO ID
  2. COMPANY
  3. PAN PROOF(SELF/ BUSINESS)
  4. PAN PROOF(COMPANY)
FORM 26 AS
(1), V (1)
  1. Total (9)
  2. Active (8)
  3. ---------->
  4. Disabled(1)
  5. Third Party (1)
  6. Universal (3)
None
10
  1. PHOTO ID
  2. COMPANY
  3. PAN PROOF
  4. PF/UN PROOF
  5. INCOME PROOF
SALARY SLIP
(NON-STD)
(100+), V (500+)
  1. Total (39)
  2. Active (35)
  3. ---------->
  4. Disabled(4)
  5. Third Party (3)
  6. Universal (3)
None
10
  1. PHOTO ID
  2. ADDRESS PROOF
  3. INCOME PROOF
BANK STATEMENT
(50+), V (150+)
  1. Total (36)
  2. Active (26)
  3. ---------->
  4. Disabled(10)
  5. Third Party (0)
  6. Universal (3)
None