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Description
IBM Safer Payments empowers organizations to design tailored, intuitive decision models that allow for quicker adaptation to new threats and enhanced fraud detection with improved accuracy and speed, all while eliminating the need for external vendors or data scientists. This solution greatly speeds up the optimization of modeling by offering the necessary analytics and simulation tools for ongoing business performance monitoring and adjustments to evolving fraud patterns. Clients experience impressive detection rates coupled with minimal false positives after integrating our system into their operations. Users can construct, evaluate, validate, and implement machine-learning models in just days instead of months, freeing them from vendor dependencies. The platform can process thousands of transactions every second, ensuring an enterprise-level solution that boasts 99.999% uptime and exceptional throughput. Its open architecture allows for the importation of detection models, model elements, and intellectual property, all while providing a comprehensive interface for developing new models. Additionally, it supports a wide range of data science, machine learning, or artificial intelligence methodologies, making it a versatile tool for any organization looking to enhance their payment security. Ultimately, this flexibility ensures that businesses can stay ahead of potential fraud threats more effectively than ever before.
Description
Lengthy document examinations can impede the efficiency of account initiation and underwriting procedures, but relying solely on automation is not a viable solution. We assert that implementing automation without incorporating fraud detection measures can lead to dangerous oversights, which is why Inscribe offers a comprehensive Risk Intelligence solution that not only identifies fraudulent activities but also streamlines processes and evaluates creditworthiness, enabling quicker customer approvals. Depending on mere assumptions to spot altered documents can leave your organization vulnerable to fraud and financial losses. You may find yourself inundated with document assessments, hindering your ability to scale your business while minimizing risk. Our mission has always centered on this challenge, and over the years, we have honed our machine learning algorithms, ensuring they continuously adapt and improve. Thanks to our pioneering efforts, you can trust that our models will consistently deliver the highest level of reliability and effectiveness in the industry, setting a benchmark for others to follow. By choosing Inscribe, you are not just investing in a product; you are securing a partnership that prioritizes your success and safety in a fast-evolving financial landscape.
API Access
Has API
API Access
Has API
Integrations
COMBO Network
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
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/safer-payments
Vendor Details
Company Name
Inscribe
Founded
2017
Country
United States
Website
www.inscribe.ai/
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