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ease
features
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support

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Description

Traditional check-clearing methods primarily assess the legal and courtesy limits of check amounts, often resulting in low-risk scores and the potential for false positives. In contrast, Tungsten FraudOne software enhances the detection of counterfeit checks through an innovative fraud scoring engine, which can be integrated with various verification tools to more effectively uncover sophisticated fraud schemes. By utilizing adaptable fraud detection strategies during both the capture and clearing stages, particularly as transaction methods like mobile deposits evolve, businesses can significantly streamline their processes. This solution minimizes the labor-intensive manual review of false positives by effectively differentiating between questionable and valid items. Moreover, it bolsters customer assurance by providing safeguards against signature forgery, check alterations, and fraudulent discrepancies. With improved accuracy, organizations can identify a greater number of suspicious checks in a shorter period, enabling them to scrutinize all checks, not just those of high value. Ultimately, this leads to a more efficient and trustworthy check verification process.

Description

Gain the crucial information edge necessary to counter the upcoming threats with continuous, around-the-clock analysis of alerts that remain undetected by other solutions. Instantly identify whether an unknown suspect's code is a variant of malware, with a similarity score ranging from 70% to 100%. You will immediately access a comprehensive list of the suspect's associated malware families, the classification of the malware, and the related indicators of compromise (IOCs). Take proactive measures by automatically blocking malware matches that are confirmed to be identical. Elevate the level of scrutiny on suspects once you secure a strategic advantage through pre-identified code of interest. Utilize freshly extracted IOCs along with all matched indicators to reinforce your defenses. Additionally, conduct hunts and surveillance using automatically generated, highly precise bytecode-based YARA rules derived from the recently convicted suspect, your repository of matched code, or specifically chosen malware samples. A customizable API empowers you to streamline processes, allowing for the automation of actions that save valuable expert time by deobfuscating and dissecting exploit code down to individual functions, thus enhancing your overall cybersecurity strategy. This comprehensive approach ensures that you remain one step ahead of potential threats, effectively safeguarding your digital assets.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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

Tungsten Automation

Founded

1985

Country

United States

Website

www.tungstenautomation.com/products/fraudone

Vendor Details

Company Name

Unkown Cyber

Website

unknowncyber.com

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

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

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