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What is TOMIA?

To effectively manage financial risks and safeguard their reputations, it is essential for operators to address fraud in real-time, particularly in relation to roaming and international calls. Although many telecom providers have set up various preventative measures against fraud, the advent of new technologies reveals further weaknesses that require attention. The integration of defenses against these emerging threats is often a gradual process, causing operators to shift from conventional offline methods to leveraging network enforcement capabilities that can immediately stop fraudulent calls in progress. Systems based on Call Detail Records (CDRs), which depend on successful call logs, tend to neglect failed call attempts, which confines their effectiveness to a more reactive approach. Consequently, there is a growing urgency for operators to take proactive steps to tackle fraudulent activities throughout every phase of the calling process. For example, by monitoring the volume of call attempts made to known black-listed numbers, operators can effectively identify and intercept PBX hacked devices, as fraudsters often cycle through numerous numbers before achieving a successful connection. Additionally, this forward-thinking strategy allows for the detection of behavioral patterns that may signal larger fraud operations, thereby bolstering overall security measures. As fraud continues to evolve, the need for innovative solutions becomes increasingly vital for the telecommunications industry.

What is Arkose Labs?

Arkose Labs offers a robust enforcement solution that deters fraudsters from continuing their malicious activities. Their cutting-edge step-up authentication approach introduces risk-based friction, which not only exhausts the resources of fraudsters but also enables genuine customers to effortlessly verify their identity. The enforcement mechanism acts as a challenge-response system that collaborates with Telemetry to validate unfamiliar requests. As a result, digital enterprises can trust that only authentic interactions are processed within their systems. By redirecting the attack surface to their own platform, Arkose Labs creates an intermediary space that allows for the independent assessment of any suspicious sessions. This intervention effectively establishes a protective barrier between fraudsters and the websites they typically target, fundamentally altering the dynamics of how attacks are orchestrated. Consequently, businesses can preserve their valuable resources and focus on growth rather than constantly fighting off attacks. Moreover, this system enhances their overall security posture, empowering them to operate with greater confidence in a digital environment fraught with risks.

Media

Media

Integrations Supported

Anti-Captcha
Arkose MatchKey

Integrations Supported

Anti-Captcha
Arkose MatchKey

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

TOMIA

Date Founded

1999

Company Location

United States

Company Website

tomiaglobal.com/real-time-anti-fraud-raf

Company Facts

Organization Name

Arkose Labs

Date Founded

2008

Company Location

United States

Company Website

www.arkoselabs.com

Categories and 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

Categories and Features

Cybersecurity

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

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