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What is NuDetect?

Our innovative approach leverages a robust framework of four interconnected security layers to authenticate users by analyzing their inherent behavior patterns. Deployed by top global enterprises, this solution protects the online journey from the moment users log in until they log out. It is crucial to document each interaction throughout a session. NuDetect is strategically integrated at multiple checkpoints within the system to monitor users from the moment they enter your website until they leave. This proactive monitoring allows for the identification of unusual activities before they can escalate into fraudulent incidents. With our real-time solution, we effectively neutralize potential threats as they attempt to infiltrate your system, providing a safeguard for your customers. By examining both behavioral and device-related data, you can protect your users as they navigate your platform seamlessly and without added friction. Enhance your operational capabilities effortlessly. Processing billions of data points, NuDetect for Continuous Validation becomes increasingly skilled at recognizing your trusted customers, even as their online behaviors shift. The machine learning functionalities are meticulously refined to adapt to changes in user behavior, thereby improving recognition accuracy over time. This ongoing adaptation guarantees that your security infrastructure remains strong and effective amidst the constantly evolving digital landscape, ultimately fostering a safer online environment for all users. Additionally, this comprehensive approach not only bolsters security but also enhances user trust and satisfaction, creating a win-win scenario for businesses and their customers alike.

What is IBM Z Anomaly Analytics?

IBM Z Anomaly Analytics is an advanced software tool that identifies and categorizes anomalies, allowing organizations to tackle operational challenges proactively. By harnessing historical log and metric data from IBM Z, the tool creates a model that encapsulates standard operational behavior. This model is used to evaluate real-time data for any discrepancies that suggest abnormal activity. Subsequently, a correlation algorithm methodically organizes and assesses these anomalies, providing prompt alerts to operational teams about potential problems. In today's rapidly evolving digital environment, ensuring the availability of critical services and applications is vital. Businesses employing hybrid applications, particularly those running on IBM Z, face the growing challenge of pinpointing the root causes of issues due to rising costs, a lack of skilled labor, and changing user behaviors. By identifying anomalies within both log and metric data, organizations can proactively detect operational issues, thus averting costly incidents and facilitating smoother operations. Moreover, this robust analytics capability not only boosts operational efficiency but also fosters improved decision-making processes across organizations, ultimately enhancing their overall performance. As such, the integration of IBM Z Anomaly Analytics can lead to significant long-term benefits for enterprises striving to maintain a competitive edge.

Media

Media

Integrations Supported

Accertify
Amazon Web Services (AWS)
Early Warning
Entersekt
Google Cloud Platform
IBM Z
Microsoft Azure
Zelle

Integrations Supported

Accertify
Amazon Web Services (AWS)
Early Warning
Entersekt
Google Cloud Platform
IBM Z
Microsoft Azure
Zelle

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NuData Security

Date Founded

2008

Company Location

Canada

Company Website

nudatasecurity.com/solutions/nudetect-for-continuous-validation/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/z-anomaly-analytics

Categories and Features

Categories and Features

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