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What is SAIBRE?

Collect, structure, and enhance data from a variety of sources to develop flexible datasets. Create advanced AI solutions through the integration of multiple actions, which includes bespoke coding components. Our streamlined runtime facilitates the swift and reliable implementation of effective AI solutions. With AI-enhanced monitoring, you receive immediate alerts regarding any concerns related to your data sources or models. SAIBRE offers a user-friendly drag-and-drop interface for exploring data and constructing models, backed by our skilled team of data scientists. Launching an AI model into a live environment can be an arduous and complex task, often draining valuable DevOps resources. SAIBRE simplifies this entire workflow, making it significantly easier to manage. As time goes on, it is inevitable that AI models will become outdated due to evolving external conditions and internal business changes stemming from AI utilization. To combat this issue, SAIBRE incorporates our state-of-the-art smart-monitoring feature to maintain the ongoing relevance and efficiency of your models. Regular updates and actionable insights will ensure that your AI solutions remain in sync with your ever-changing business requirements, fostering sustained growth and adaptability. Moreover, our commitment to innovation guarantees that your organization will always be equipped with the latest advancements in AI technology.

What is IBM Safer Payments?

IBM Safer Payments enables organizations to create personalized and user-friendly decision models that facilitate rapid responses to emerging threats while improving fraud detection accuracy and speed, without the reliance on external vendors or data scientists. This innovative solution significantly accelerates the modeling optimization process by providing essential analytics and simulation tools that support continual monitoring of business performance and adjustments to changing fraud patterns. Clients benefit from remarkable detection rates and a reduction in false positives upon integrating this system into their workflows. Users have the capability to build, assess, validate, and deploy machine-learning models within days rather than months, thereby eliminating vendor dependency. The platform is capable of handling thousands of transactions per second, delivering an enterprise-level solution with an impressive 99.999% uptime and outstanding throughput. Its open architecture allows for seamless importation of detection models, model components, and proprietary insights, all while offering a comprehensive interface for the development of new models. Furthermore, it accommodates a diverse array of data science, machine learning, and artificial intelligence techniques, making it an adaptable resource for any organization seeking to bolster their payment security. The inherent flexibility of this platform ensures that businesses can proactively address potential fraud threats more efficiently than ever, ultimately leading to a more secure financial environment. As organizations continue to evolve, the ability to swiftly adapt to new security challenges becomes increasingly critical.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Sonasoft

Company Location

United States

Company Website

www.sonasoft.com/saibre

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/safer-payments

Categories and Features

Categories and Features

Fraud Detection

Not specified

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