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Description
FISCAL Technologies employs cutting-edge forensics and machine learning to seamlessly integrate with your ERP system. This solution operates on a continual and preventive basis, streamlining your tasks to enhance efficiency and effectiveness. Over the years, FISCAL Technologies has developed a risk detection methodology that centers on suppliers, allowing for maximum identification of risks as they are introduced into your ERP system. Each supplier and invoice undergoes a thorough forensic examination daily. Furthermore, FISCAL Technologies extends its oversight beyond your P2P data by cross-referencing with external risk registers to uncover additional risks throughout the entire P2P cycle. In today’s environment, where business resilience is crucial, Accounts Payable, Procure-to-Pay, and Shared Service teams face increasing pressure to mitigate risks that could adversely impact the organization. By leveraging these advanced tools, teams can proactively safeguard their operations and maintain organizational integrity.
Description
ShieldLabs specializes in detecting and preventing fraud while also evaluating traffic quality through sophisticated scoring methods. It effectively combats issues such as multi-accounting, account sharing, account takeovers, fake signups, and ad fraud.
By employing a single JavaScript snippet, it gathers over 100 distinct device and network signals during every visit, allowing for comprehensive cross-verification that reveals sophisticated masking techniques and achieves an impressive detection accuracy of up to 99%. Returning users are identified seamlessly, even when using cleared cookies, incognito browsing, or different IP addresses, while linked users can be tracked across multiple accounts and devices.
Various elements such as VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation tools, bots, and AI agents are all categorized as specific signals instead of being reduced to a simple binary flag. Each visitor, user, device, and IP is assigned a unique risk score, and predefined patterns address common fraud scenarios like multi-accounting, account sharing, account takeovers, and impossible travel incidents, with traffic quality evaluated based on its source, channel, and campaign.
Integrating the solution takes just five minutes and includes client and server SDKs, a public API, and signed webhooks, making it accessible for businesses looking to enhance their security measures rapidly. As a result, organizations can swiftly implement robust defenses against fraud while maintaining a seamless user experience.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$79/month
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
FISCAL Technologies
Founded
2002
Country
United States
Website
www.fiscaltec.com
Vendor Details
Company Name
ShieldLabs Inc
Founded
2025
Country
United States
Website
shieldlabs.ai/
Product Features
Accounts Payable
Approval Process Control
Bank Reconciliation
Cash Management
Check Writing
Duplicate Payment Alert
Fraud Detection
General Ledger Entry
Vendor Management
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