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What is HUMAN Ad Fraud Defense?

HUMAN's Ad Fraud Defense system takes a forward-thinking stance by analyzing bid requests prior to their submission, effectively preventing invalid traffic from infiltrating your inventory. This proactive measure not only cultivates a safer environment for transactions but also bolsters your brand's image, safeguards revenue streams, and amplifies partner demand. Functioning as a protective barrier against fraud across key inventory categories—such as desktop, mobile, connected TV (CTV), and audio—this system ultimately enhances ad performance. By prioritizing transparency and minimizing invalid traffic, the defense mechanism elevates the overall worth of your inventory while providing advanced fraud protection. Through thorough pre-bid analysis, HUMAN proficiently stops invalid traffic from undermining your inventory, thereby improving your market position and drawing in more partners. Furthermore, HUMAN's capability to identify and combat ad fraud across diverse platforms ensures optimal pre-bid fraud mitigation solutions are in place. This extensive strategy not only secures your inventory but also builds trust and reliability in the advertising environment, encouraging a more robust marketplace. In a rapidly evolving digital landscape, maintaining such protective measures is vital for long-term success and sustainability.

What is Anura.io?

Anura was established by the entrepreneurial duo Rich and Beth Kahn, who have a strong background in business ventures. This innovative platform serves as a solution to combat ad fraud, revealing the presence of bots, malware, and human deception, ultimately enhancing campaign efficiency. The Kahns, who have previously seen their enterprise recognized on the Inc. 5000 List for five consecutive years, have a proven track record in entrepreneurship, highlighted by receiving the Ernst & Young Entrepreneur Award in technology. By minimizing ad fraud, Anura enables advertisers to allocate more resources toward expanding their businesses effectively. The platform's approach ensures that visitors are only classified as fraudulent when there is absolute certainty regarding their inauthenticity, thereby eliminating false positives. Anura's technology is validated against genuine conversion data, and it offers an advanced analytics dashboard that comprehensively demonstrates instances of fraud. Utilizing machine learning alongside the expertise of skilled engineers, Anura is capable of identifying even the most intricate fraud strategies in real time, ensuring advertisers can trust their metrics and focus on growth without the worry of deception. Furthermore, this dual approach of technology and human oversight guarantees a robust defense against evolving threats in the advertising landscape.

Media

Media

Integrations Supported

Human Defense Platform

Integrations Supported

Axis LMS
CAKE
Contact Center Compliance
Everflow
HitPath
Lead Prosper
Partnerize
Phonexa
Retreaver
Trackdesk
boberdoo

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Upon Request
Pricing is provided from an Anura expert. Contact us to find the right package for you.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

HUMAN Security

Date Founded

2012

Company Location

United States

Company Website

www.humansecurity.com/platform/solutions/ad-fraud/

Company Facts

Organization Name

Anura Solutions, LLC

Date Founded

2017

Company Location

United States

Company Website

www.anura.io

Categories and Features

Ad Fraud Detection

Not specified

Click Fraud

Not specified

Categories and Features

Ad Fraud Detection

Not specified

Ad Networks

Not specified

Click Fraud

Not specified

Lead Generation

Not specified

PPC

Not specified

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