[
SAS Fra... Reviews
](https://www.g2.com/products/sas-sas-fraud-anti-money-laundering-security-intelligence/reviews)

[
SAS Fra... Reviews
](https://www.g2.com/products/sas-sas-fraud-anti-money-laundering-security-intelligence/reviews)

# SAS Fraud, Anti-Money Laundering & Security Intelligence Features

##### 
## Intelligence (4)

Transaction Scoring

Rates each transaction's risk based on specific factors and their benchmarked scores.

Risk Assessment

Flags suspicious transactions and either alerts administrators or declines transaction.

Intelligence Reporting

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

ID Analytics

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

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##### 
## Detection (7)

Fraud Detection

Finds patterns in common occurrences of fraud to use when evaluating risk of purchasers.

Alerts

Alerts administrators when fraud is suspected or transactions have been declined.

Real-Time Monitoring

Constantly monitors system to detect anomalies in real time.

Payment Verification

Requires verification of credit card, debit card, and money transfers prior to accepting payments

Bot Mitigation

Monitors for and rids systems of bots suspected of committing fraud.

Real-Time Monitoring

Constantly monitors system to detect anomalies in real time.

Alerts

Alerts administrators when fraud is suspected or transactions have been declined.

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##### 
## Response (4)

Device Tracking

Keeps records of geographic location and IP addresses of fraud suspects.

Fraud Markers

Tags users suspected of committing fraud and identifies them upon return.

Blacklisting

Prevents previous committers of fraud from future transactions.

Bot Mitigation

Monitors for and rids systems of bots suspected of committing fraud.

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##### 
## Analysis (3)

ID Analytics

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Intelligence Reporting

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Incident Reports

Produces reports detailing trends and vulnerabilities related to payments and fraud.

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##### 
## Administration (3)

Fraud Markers

Tags users suspected of committing fraud and identifies them upon return.

Transaction Scoring

Rates each transaction's risk based on specific factors and their benchmarked scores.

Blacklisting

Prevents previous committers of fraud from future transactions.

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##### 
## Additional Functionality (2)

Cloud

Provides a cloud based version of the platform

Dashboard

Has a centralized dashboard for users to interact with

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##### 
## Basics (1)

Reporting

Provides analytics tools that reveal important business metrics and track progress.

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##### 
## Content (1)

Automation

Automates some or all operation related tasks

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##### 
## Data (1)

Visualization

Contains tools to visalize data sets or workflows

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##### 
## Interoperability (1)

Pre-Built Connectors

Provides useful pre-defined data connections to important external systems and applications.

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##### 
## Performance (1)

Reporting

Provides pre-built or customizable performance reports

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##### 
## Efficiency (4)

Claims Data Automation - Healthcare Claims Management

Automatically populates data in claim submission fields

Electronic Submissions - Healthcare Claims Management

Supports electronically uploading and sending of healthcare insurance claims

Clearinghouse Integration - Healthcare Claims Management

Provides integration or facilitates relationships with clearinghouse(s)

Claims Process Workflow - Healthcare Claims Management

Provides or facilitates a structured process to support the entire claims lifecycle

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##### 
## Accuracy (3)

Claims Resubmission - Healthcare Claims Management

Promptly re-submits denied claims once providers update missing or lacking information

Patient Data Security - Healthcare Claims Management

Ensures that patient data remains secure and confidential and that only pertinent information is shared

Claims Scrubbing - Healthcare Claims Management

Digitizes, tracks, and vets submitted health insurance claims to check for errors

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##### 
## Monitoring (9)

Constant Monitoring

Monitors systems constantly in real-time.

Timely Alerts

Alerts users of incidents and issues as soon as they arise.

TIcket Accuracy

Generates accurate incident reports.

AI Monitoring

Utillizes AI to monitor and report on incidents in real-time.

Models

Create behavior models that can be used to detect suspicious behavior.

Simuation

Simulate and validate scenarios to address multiple types of risks.

Transaction Monitoring

Real-time transaction screening to immediately identify potential risks.

Segmentation

Allows users to segment and manage lists of suspicious persons and organizations.

QA

Evaluate the quality and performance of the anti-money laundering activities.

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##### 
## Management Tools (3)

Ticket Assignment

Assigns tickets to relevant team members.

Standardization

Cultivates a standardized workflow for enhanced organization.

Lifecycle Visualization

Grants transparent overviews for the lifecycle of each incident.

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##### 
## Fraud Detection (5)

Name Matching

The solution uses intelligent algorithms like fuzzy matching to identify potential risks.

Watch List

Create watchlists that can include sanctions lists (e.g., Dow Jones, WorldCheck, WorldCompliance, and Accuity).

Scoring

Score persons and organizations based on their history and risk potential.

E-filing

Pool data from various sources to auto-populate e-filing of Suspicious Activity Report (SAR) or Currency Transaction Reports (CTR) forms.

Workflows and Alerts

Standard workflows to assign workload and to alert users based on predefined triggers.

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##### 
## Compliance (3)

Due Dilligence

Manage due dilligence processes such as Customer Due Diligence and Know Your Customer.

Regulations and Jurisdictions

Comply with regulations from multiple jurisdictions such as OFAC, UN, EU, OSFI, UK and AUSTRAC or FATCA.

Internal Policies

Compliance with fraud and risk management policies created by the company using the solution.

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##### 
## Reporting (3)

Compliance Reports

Ability to generate standard reports for compliance purposes such as FATCA/CRS, SARS/STR and SWIFT.

Suspicious Activity

Display suspicious activity by period, risk type, person or organization.

Real-Time Dashboards

Dashboards to provide real-time data on suspicious transactions, persons, or organizations.

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##### 
## Generative AI (2)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

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##### 
## Generative AI - Anti Money Laundering (2)

Risk Scoring

Has integreated AI features to assess and assign risk scores to transactions and customer profiles, enabling prioritized investigations based on potential threat levels.

Pattern Recognition

Uses AI algorithms to identify complex patterns and anomalies in transaction data that may indicate money laundering.

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##### 
## Agentic AI - Anti Money Laundering (2)

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Fraud Detection (3)

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Incident Management (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Transaction Monitoring - Financial Fraud Prevention (3)

Payment monitoring

Monitors both incoming and outgoing payments to detect fraud, such as fake payees, bank accounts, or unathorized users.

Real-time risk monitoring

Reviews every transaction in real‑time using rules, pre-defined criteria or a combination of signals to block, flag, or allow transactions.

Threshold Management

Allows configuring custom rules/thresholds and adjusting sensitivity for different types of transactions.

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##### 
## Identity & Authentication - Financial Fraud Prevention (2)

Identity Verification

Uses documents, biometrics, or device fingerprinting to verify that a user is who they claim to be.

MFA

Detects unusual login or credential usage and requires additional authentication when a risk is present.

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##### 
## Behavioral & Analytics Detection - Financial Fraud Prevention (2)

Behavioral Analytics

Builds behavioral baselines to detect deviations in transactions and device usage.

Bot Detection

Monitors and blocks automated fraud bots, such as creating fake accounts.

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##### 
## Audit & Compliance - Financial Fraud Prevention (2)

Audit Trail

Tracks actions of users, rule changes, and other system events in secure logs

Reporting

Generates customlizable reports for regulatory requirements and ongoing compliance.

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##### Categories on G2

[
Incident Management
](https://www.g2.com/categories/incident-management)[
Fraud Detection
](https://www.g2.com/categories/fraud-detection)[
E-commerce Fraud Protection
](https://www.g2.com/categories/e-commerce-fraud-protection)

[
Insurance Analytics
](https://www.g2.com/categories/insurance-analytics)[
Anti-Money Laundering (AML)
](https://www.g2.com/categories/anti-money-laundering)[
Financial Fraud Prevention
](https://www.g2.com/categories/financial-fraud-prevention)[
Healthcare Claims Management
](https://www.g2.com/categories/healthcare-claims-management)

Show More

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