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ease
features
design
support

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Description

Fraud Detection Modern fraud prevention systems rely on documenting issues and establishing expert-defined rules to combat them; however, due to the vastness and ever-changing nature of fraud, this approach is often inadequate. POINTER introduces a forward-thinking strategy that swiftly identifies fraudulent activities by recognizing transactions that deviate from a user’s usual behavior. Utilizing a proprietary mathematical model along with advanced data mining methodologies, POINTER generates a dynamic Personal Symbolic Vector. Additionally, the incorporation of auto-learning techniques allows the system to adapt to realistic behavioral changes over time. This adaptability guarantees that user profiles remain current and that the most recent expert rules are applied for fraud detection. Furthermore, POINTER significantly reduces the number of false alerts, thereby minimizing the research time required by staff while simultaneously enhancing customer service. Institutions can also customize these parameters to achieve the most effective balance for their specific needs. Ultimately, this innovative approach revolutionizes the way organizations manage and mitigate fraud.

Description

Enhance your ability to swiftly tackle emerging threats while minimizing false positives to improve the overall customer experience. Our comprehensive fraud detection and prevention system accommodates various channels and business sectors, facilitating enterprise-wide oversight through a unified platform. This solution streamlines the integration of data, allowing you to amalgamate internal, external, and third-party information to develop a predictive model finely tuned to your organization's specific requirements. By consolidating this data within a single technological framework, you gain the adaptability to expand or modify your operations as your business evolves, enabling a quicker response to new threats as they surface. It is essential to remain vigilant against evolving tactics and novel fraud schemes. Utilizing integrated machine learning techniques, the system can identify and adjust to shifts in behavioral patterns, resulting in stronger and more efficient models. Additionally, critical technological elements enable the swift identification of anomalies specific to each customer, while in-memory processing guarantees rapid response times with high throughput and minimal latency, ensuring your operations remain agile and effective. This holistic approach not only safeguards your assets but also fosters trust and satisfaction among your clientele.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SAS Fraud, AML & Security Intelligence

Integrations

SAS Fraud, AML & Security Intelligence

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

PotentiaN

Founded

2007

Country

United States

Website

www.potentian.com

Vendor Details

Company Name

SAS

Founded

1976

Country

United States

Website

www.sas.com/en_us/software/fraud-management.html

Product Features

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

Product Features

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

Alternatives

Alternatives

Fraud.net Reviews

Fraud.net

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