
Stop more bots and reach more people
With digital ad spending predicted to reach nearly $870 billion globally by 2027, the industry is more focused than ever before on combating digital ad fraud. We ensure your ads are only shown to humans on legitimate publishers, protecting your media budget from bots with surgical accuracy.
Dive deep into fraud protection with our toolkit.

Our ad fraud solutions cover:

Bots don’t buy
We process and analyze trillions of data events each month in order to identify anomalies that indicate fraud across all channels and platforms. The aggregated data creates scalable detection models to distinguish real human behavior from bots, even in previously uncharted areas. We also look at signs sent during a specific browser session or from a specific device. Bots have a signature set of features that can be identified through detailed mapping of the browser environment and device characteristics.
Prevent wasted media spend while protecting scale
We help you identify where, when, and how illegal bots are infiltrating your media plan. Start blocking ad fraud threats with precision before the impression is even served so your budget stays protected.
$0B
in digital ad spending lost to fraud expected by 2028
0%
0X
Increase in fraud levels for campaigns for which fraud mitigation tools are not present
No matter the threat, we've got you covered
IAS is a leader in the fight against ad fraud through a balanced approach and ongoing research. Our team of specialized analysts, engineers, white-hat-hackers, and data scientists is taking on invalid traffic from every angle to create the most advanced solutions in the market.
The Threat Lab
Our Threat Lab is staffed with experts who identify and stop fraudulent activity. We work with law enforcement and academia to examine the forces behind digital advertising fraud. Most recently, our Threat Lab collaborated with Google to take down a fraudulent VPN app.
A Trusted Partner:
Layered Methodology
A multi-layered approach to fraud detection is vital. Under-sophisticated and over-cautious fraud strategies can cause you to miss out on safe, high-quality impressions. We proudly utilize machine learning in our ad fraud solution, and our best-in-class results prove it.
Our True Machine Learning gives you:
Three Pillar Approach
Ensure the most precise fraud detection possible with our three-pillar approach. Our fraud technology is based on a set of methodologies that when used in tandem, detect the evolving threat of ad fraud with incredible accuracy.
Our three pillar approach includes:
SOLUTIONS THAT DRIVE RESULTS
IAS delivers innovative, industry-leading digital advertising solutions that are designed to drive superior results. Take a look at our full measurement and optimization product suite to learn how IAS helps your brand stay ahead of the competition.
SOLUTIONS THAT DRIVE RESULTS
MAKE YOUR FIRST IMPRESSION A QUALITY ONE
The IAS Quality Impression™ is an MRC-accredited, proprietary metric that helps ensure media quality standards. To be counted as a Quality Impression, a digital ad must be viewable, by a real person, in a brand-safe and suitable environment. All within the correct geo. Quality Impressions™ always exclude invalid traffic.
ACCREDITATIONS
IAS is accredited by the Media Rating Council (MRC) for Sophisticated Invalid Traffic Detection/Filtration in desktop, mobile web, and mobile app, as well as CTV environments, in which IAS was the first verification provider to receive this accreditation. In 2024, IAS achieved Platinum Status from the Trustworthy Accountability Group (TAG), which is TAG’s highest recognition and includes the following accreditations: Certified Against Fraud, Certified for Transparency, and Brand Safety Certified.
EXPERT INDUSTRY INSIGHTS
Get deeper insights into cutting-edge ad fraud solutions at the IAS Insider.
Fast responses for fast-moving campaigns.
Your success is what drives us. Our global Help Center and customer success team can quickly address any questions you have about our ad fraud solutions and workflows at any point.
Ad Fraud FAQs
Transparency is key to successful campaigns. Leverage these Frequently Asked Questions (FAQs) to find out what you need to know about ad fraud solutions that drive results.
Ad fraud is any deliberate activity that prevents the proper delivery of ads to the intended audience, in the intended place. It refers to malicious activities where advertisers are charged for fake impressions, clicks, or engagements, often generated by bots or fraudulent sources. Ad fraud wastes advertising budgets, skews campaign performance metrics, and undermines trust in digital advertising.
IAS uses advanced fraud detection and prevention technologies, including machine learning and proprietary algorithms, to identify and block fraudulent impressions and traffic. By ensuring campaigns only reach real users, IAS helps maximize return on investment and maintain brand integrity.
IAS detects various types of ad fraud, including domain spoofing, bot traffic, ad stacking, pixel stuffing, location fraud, and many more. Our technology ensures comprehensive protection against both general and sophisticated fraud schemes.
Ad fraud prevention safeguards ad spend, ensures accurate reporting, and enhances campaign effectiveness. To put it simply, bots don’t buy — and fraud protection helps advertisers avoid wasting valuable ad spend on non-human traffic that can’t make an impact.
IAS employs advanced machine learning models and behavioral analysis to distinguish between genuine user behavior and bot activity. By analyzing patterns in real time, we ensure accurate fraud detection.
Yes, IAS solutions are designed to combat ad fraud across all devices, including mobile, desktop, tablet, and connected TV (CTV), as well as platforms, including open web and social, ensuring consistent omnichannel protection.
By eliminating invalid traffic and fraudulent impressions, ad fraud prevention enhances campaign performance. It ensures that budgets are allocated toward real users, improving engagement rates and driving meaningful results.
IAS continuously updates its technology and fraud detection algorithms to address new fraud schemes. Additionally, IAS’s fraud intelligence team, the Threat Lab, is staffed with experts who identify and stop fraudulent activity.