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What is SAS Fraud, AML & Security Intelligence?

Implementing a proactive defense is essential, utilizing state-of-the-art analytics, artificial intelligence, and machine learning technologies. A holistic approach to tackling fraud, compliance, and security challenges is imperative for success. SAS's security intelligence offerings create a crucial barrier, backed by extensive industry knowledge and superior analytical capabilities. Safeguarding your organization's integrity and financial stability is paramount, as is the ability to avert fraudulent, wasteful, and abusive payments before they occur. Keeping pace with the rapidly changing regulatory environment is vital for maintaining compliance. A risk-oriented strategy that promotes transparency and reduces compliance risks is necessary for effective governance. Evaluating customer interactions throughout their entire life span helps minimize the risks of identity theft and digital fraud. By employing a unified, analytics-driven approach to assess risks and threats, organizations can respond more swiftly and effectively to criminal activities, terrorism, and various security challenges. Explore how SAS's cutting-edge analytics solutions, which incorporate predictive analytics and integrated AI capabilities, can fulfill a wide range of strategic business goals. By harnessing these advanced tools, organizations can not only bolster their security frameworks but also cultivate a more robust and adaptable operational environment, ensuring long-term resilience against emerging threats. Ultimately, prioritizing security and compliance will empower organizations to thrive in today's complex landscape.

What is FraudManager?

Leading banks across Europe have opted for Fraud Manager to enhance their risk management strategies aimed at preventing fraudulent activities in France and beyond. Fraudulent schemes are complex and manifest through multiple channels, making detection challenging. By implementing real-time behavioral analysis, the system assesses risks using extensive datasets, allowing for swift intervention against fraudulent maneuvers. Leveraging highly effective machine learning algorithms at scale, it identifies anomalies efficiently. Furthermore, the platform facilitates in-depth data examination, promotes insights into customer behavior, and quickly highlights any suspicious actions. Fraud Manager equips risk management experts and data analysts to develop and correlate various business indicators for thorough risk assessment without any constraints. Users have the flexibility to devise countermeasures against potential risks through an accessible drag-and-drop interface that requires no programming expertise. Utilizing Fraud Manager's advanced real-time capabilities and explainable AI, organizations can evaluate and refine their threat mitigation strategies in real-time. It also offers a detailed overview of thwarted fraud incidents and their impact on the customer experience, ensuring a comprehensive approach to fraud prevention. This robust system not only bolsters security but also enhances customer confidence by promoting transparent practices, ultimately leading to stronger customer relationships. Organizations can now navigate the complexities of fraud management with greater assurance and agility.

What is Feedzai?

Feedzai is a leading AI-powered financial crime risk management platform that covers the full spectrum of fraud prevention and anti-money laundering (AML) compliance, from account opening to transaction monitoring. Using sophisticated behavioral biometrics and analytics, Feedzai builds trusted digital identities and continuously profiles normal customer behavior to identify and flag abnormal or fraudulent activities in real time. The platform processes over 70 billion events annually, securing more than $8 trillion in payments worldwide while protecting over one billion consumers. It supports a wide range of financial institutions including retail banks, commercial banks, payment service providers, merchant acquirers, and core banking providers, as well as government agencies. Feedzai’s AI-driven approach delivers higher fraud detection rates—up to 62% more—while reducing false positives by 73%, improving operational efficiency significantly. The platform’s risk scoring, watchlist screening, and orchestration tools enable organizations to adapt rapidly to evolving threats and complex regulatory environments. Feedzai seamlessly integrates with existing banking and payment infrastructures to provide scalable and compliant solutions. Customers benefit from faster model deployment times, often 25% quicker than previous systems, ensuring timely response to emerging fraud patterns. The company also offers expert briefings and insights to help clients stay ahead of financial crime trends. Feedzai is widely recognized as a leader in transaction fraud prevention and AML, driving innovation and trust in the financial industry globally.

Media

Media

Media

Integrations Supported

CatalystPay
Ekata
SAS Fraud Management
Synctera

Integrations Supported

CatalystPay
Ekata
SAS Fraud Management
Synctera

Integrations Supported

CatalystPay
Ekata
SAS Fraud Management
Synctera

API Availability

Has API

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/solutions/fraud-security-intelligence.html

Company Facts

Organization Name

ISoft

Company Location

France

Company Website

isoft.fr/en/fraudmanager/

Company Facts

Organization Name

Feedzai

Date Founded

2011

Company Location

United States

Company Website

www.feedzai.com

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Categories and Features

AML

Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Fraud Detection

Access Security Management
Check Fraud Monitoring
Custom Fraud Parameters
For Banking
For Crypto
For Insurance Industry
For eCommerce
Internal Fraud Monitoring
Investigator Notes
Pattern Recognition
Transaction Approval

Risk Management

Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment

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