Best AI Ad Fraud Detection Tools for App Publishers (2026)

Most guides to ad fraud tools are written for the people buying media. That framing misses what fraud actually does to a publisher.

When invalid traffic shows up in your app’s impressions, you do not lose ad spend. You lose bid density. Buyers who see elevated IVT on your bundle ID lower their bids, move you down their supply path, or drop you from their inclusion list entirely. Some of that happens automatically inside a DSP without anyone at the buying desk making a decision about you. Then your eCPM falls, and it looks like a monetization problem instead of a traffic quality problem.

The numbers explain why buyers are so aggressive about this. Pixalate analyzed over 82 billion programmatic impressions in Q1 2026 and found a global invalid traffic rate of 39% on mobile app traffic, against 20% for web and 25% for CTV. In the US, mobile apps came in at 32%. The UK sat at 28% and Germany at 30%. Whatever your own rate is, buyers are pricing your inventory against a category average that looks bad.

The broader picture is not improving. Imperva’s 2026 Bad Bot Report puts bots at 53% of all internet traffic, and Lunio’s 2026 Global IVT Report estimates $63 billion in ad spend was lost to invalid traffic in 2025.

This guide covers the tools that let you see your own IVT rate before a buyer does, what each one costs, and where each one falls short.

First, work out which side you are buying for

Game studios sit on both sides of the market. You monetize inventory, and you also buy user acquisition. These are two different fraud problems with two different tool categories, and buying the wrong one is the most common mistake on this list.

Supply-side (publisher) tools measure the traffic arriving at your app. They tell you what percentage of your impressions are invalid, which placements or geos are generating it, and whether your app-ads.txt file is being spoofed. This is what you show a demand partner when they ask why your IVT looks high. Pixalate, HUMAN, DoubleVerify, IAS, Fraudlogix, Protected, GeoEdge and Confiant all serve this need.

Buy-side (UA) tools measure the installs you paid for. They catch click injection, click flooding, SDK spoofing and device farms sitting inside your acquisition campaigns. TrafficGuard, Spider AF, Anura and mFilterIt live here.

The rest of this article treats the supply side as the main event, with a shorter section on UA tools at the end.

How to evaluate a fraud vendor

Six things separate vendors that change your revenue from vendors that change your dashboard.

Platform-level filters are not a substitute. Built-in ad platform filtering catches most general invalid traffic but identifies only around 40% of sophisticated invalid traffic, which is the category that uses residential IPs and human-like behavior to get past signature-based detection.

1. Pixalate

Pixalate is the vendor most oriented toward app publishers rather than agencies. It was built around app store and bundle-level intelligence, which is why regulators and researchers use its data alongside ad tech companies.

What it does. Detection and filtration across CTV, mobile app and web, with app-ads.txt validation, seller and publisher trust rankings, and a blocking product that sits ahead of the transaction. Pixalate holds MRC accreditation across 20 or more measurement areas and 45 or more unique metrics, covering SIVT detection and filtration for 36 or more IVT types in mobile app environments specifically.

Pricing. Not published. Enterprise contracts through sales. The Media Ratings Terminal and the Top 100 rankings are publicly viewable, which gives you a free way to see how your own app is indexed before you talk to anyone.

Pros. Deepest app-level coverage of any vendor here. Its quarterly benchmark reports give you a defensible external number to compare your own IVT against, which is useful in a demand partner conversation. The trust indexes let you audit your own listing without a contract.

Cons. Pixalate’s own disclaimer notes its datasets are drawn predominantly from buy-side open auction sources, so its view of your inventory is the view a buyer has, not a complete picture of your traffic. No self-serve entry point.

Reviews. Generally strong on data depth and app-store intelligence. Less discussed for day-to-day ad ops workflow, which is not what it is built for.

Best for. Mobile game studios and app developers who want bundle-level visibility and an externally credible IVT benchmark.

Avoid if. You need a fast, cheap read on traffic quality this week, or your inventory is mostly web.

2. HUMAN Security

HUMAN, formerly White Ops, sells fraud detection as part of a broader bot-defense platform. Its ad products come as a pair.

What it does. MediaGuard is the pre-bid layer, predicting from the OpenRTB bid object whether an opportunity is likely to be invalid. FraudSensor is the post-bid layer, using detection tags to categorize impressions after they serve. MediaGuard cannot be deployed alone: FraudSensor tag data is what trains its models. HUMAN was the first company to receive MRC accreditation for both pre-bid and post-bid SIVT across desktop, mobile web, mobile in-app and CTV, and in April 2026 its viewability measurement earned MRC accreditation across the same environments. The company verifies 20 trillion digital interactions per week.

Pricing. Not published. Enterprise contract, no free tier, no self-serve access.

Pros. The signal volume is the largest in the category, which shows up in detection of newer attack patterns. Gartner reviewers consistently praise the granularity: IVT broken out by publisher, channel, domain and bundle, with flagged reasons rather than a binary valid/invalid output.

Cons. Gartner reviewers describe the detection system as a black box with limited room for manual adjustment. G2 reviewers report false positives when a new supply format is introduced or when a publisher deviates from IAB programmatic guidelines, which is a real risk if you run non-standard ad units. The two-product dependency also means the integration is heavier than a single tag.

Reviews. Strong on reputation and data quality. Mixed on transparency and, historically, on account attention for smaller clients.

Best for. Larger publishers and platforms that need pre-bid filtering and can absorb an enterprise integration.

Avoid if. You want to understand and tune the detection logic yourself, or you run unusual ad formats.

3. DoubleVerify Publisher Suite

DV built its business on the buy side and brought the same measurement to publishers. DV Publisher Suite is a yield product with fraud data inside it rather than a standalone fraud tool.

What it does. Five modules: Revenue Analytics for aggregating data sources, Campaign Delivery Insights for pacing and discrepancies, Inventory Quality for surfacing high-performing inventory using DV’s fraud and viewability data, Quality Targeting Automation for real-time yield optimization against those signals, and Authentic Direct for matching advertiser brand suitability settings automatically. DV also assists publishers with the anti-fraud requirements of TAG certification if they run the relevant Publisher Suite products across all inventory.

Pricing. Not published. CPM-based, which means cost scales directly with impression volume, per competitor Fraudlogix’s own comparison. No free tier.

Pros. The buy-side recognition is the point: when you tell an advertiser your inventory is DV-verified, they already trust the methodology. Publishers cite operational gains alongside the quality data, including a 40% reduction in time spent managing discrepancies and 80% of monthly billing automated.

Cons. CPM pricing works against high-volume app publishers specifically, since your impression counts are large and your revenue per impression is small. The fraud measurement is bundled into a broader yield suite, so you are buying more than IVT detection whether you want it or not.

Reviews. Positive on reporting consolidation and billing automation. The recurring complaint across the enterprise verification category applies here too: no visibility into pricing until you are deep in a sales process.

Best for. Publishers with meaningful direct-sold business who need one system for yield reporting and quality data.

Avoid if. You run high-volume, low-CPM in-app inventory and only want fraud measurement.

4. Integral Ad Science

IAS competes directly with DV and has moved harder on publisher-side transparency in the last year.

What it does. IVT detection, viewability, brand safety and suitability, delivered to publishers through the IAS Pulse platform. In June 2026 IAS made Quality Connect generally available, which gives publishers near real-time visibility into how advertisers have configured their brand safety, suitability and fraud blocking settings for a given campaign. Campaign Transparency is live now. Campaign Reporting, which surfaces in-flight viewability and IVT metrics against advertiser impression data, and Campaign Segments are expected in Q3 2026.

Pricing. Enterprise contract, not published. Campaign Transparency is available to existing publisher clients at no additional cost.

Pros. Quality Connect addresses a problem no other vendor here solves: knowing why an advertiser blocked your impressions. If under-delivery and unexplained blocks are eating your fill, this is the most direct fix available. Early users include the Financial Times.

Cons. Quality Connect only helps if the advertiser consents to sharing settings, so coverage depends on your buyer relationships. Two of the three capabilities were still pending at time of writing. IAS has been owned by private equity firm Novacap since late 2025, and product roadmaps after a take-private are worth watching rather than assuming.

Reviews. Solid on measurement accuracy. The publisher-side product is younger than the buy-side one and reviewed less.

Best for. Publishers with significant programmatic guaranteed or PMP business who are losing delivery to advertiser-side blocking.

Avoid if. Your revenue is almost entirely open auction, where Quality Connect has little to work with.

5. Fraudlogix

Fraudlogix is the only vendor in this list that publishes prices and lets you test detection before signing anything.

What it does. Post-bid IVT analytics through a detection pixel, an IP risk scoring API, and a pre-bid IP blocklist delivered to your own servers so lookups happen locally with no bid-time API call. The pixel covers IVT and bot detection, brand safety category flagging, domain verification (declared versus actual) and viewability in a single integration. Detection draws on a network covering 300 million URLs and apps.

Pricing. Published, which is rare here. The Bot and Fraud API is free up to 1,000 monthly queries, $350/month for 1,001 to 10,000, $950/month for 10,001 to 100,000, and custom above that. The pre-bid IP blocklist starts at $6,500/month as a flat fee with unlimited impressions, and post-bid analytics are free with no volume cap. Note that the blocklist and comparison figures come from Fraudlogix’s own competitor pages, so treat them as vendor-stated rather than independently verified.

Pros. The free post-bid tier means you can measure your actual IVT rate this week for nothing, which is the single most useful thing on this list if you have never measured it. Flat-fee pricing does not punish you for scale. Reviewers on Capterra and Software Advice repeatedly describe it as the practical option for small and mid-sized companies that need trustworthy IVT data without an enterprise commitment, and describe integration as straightforward.

Cons. No MRC accreditation, which matters if a demand partner requires accredited measurement. Its own published research puts the global IVT average at 20.64% across 105.7 billion impressions in 2026, well below Pixalate’s mobile app figure, so the two datasets are not interchangeable. Support and platform depth are lighter than the enterprise vendors.

Reviews. Consistently positive on price, support responsiveness and ease of integration. Little critical volume, partly because the review base is smaller.

Best for. Any app publisher who has not yet measured their own IVT, and mid-market studios who cannot justify enterprise pricing.

Avoid if. A demand partner or advertiser contractually requires MRC-accredited measurement.

6. Protected by Mediaocean

Formerly Protected Media, founded in 2014 by veterans of Israel’s cybersecurity industry and acquired by Flashtalking in 2021, now operating under the Mediaocean brand.

What it does. IVT and SIVT detection plus viewability, with attention and quality signals layered on top. It is MRC-accredited for display and video viewability and SIVT detection, TAG-certified against ad fraud, and registered with IAB Europe and IAB Tech Lab. Accreditation covers desktop, mobile web, mobile in-app and OTT. The company serves over 100 customers across the supply chain including SSPs and DSPs. In April 2026 Mediaocean announced a direct integration between Protected and Basis, bringing its quality signals into campaign activation workflows.

Pricing. Not published. Sold on what the company describes as a positive verification model, where results are rewarded rather than charged flat against volume.

Pros. Full MRC accreditation including mobile in-app, at a company smaller and more accessible than DV or IAS. The outcome-linked pricing model is worth asking about if you are wary of paying a fixed fee for measurement.

Cons. Smallest brand recognition among the accredited vendors, which weakens the “we are verified by X” argument with buyers. Now part of a larger holding company, so the standalone product roadmap depends on Mediaocean’s priorities. Very little independent review coverage.

Best for. Publishers who need MRC-accredited in-app measurement and want an alternative to the two dominant vendors.

Avoid if. Buyer recognition of the vendor name is part of what you are buying.

7. GeoEdge

GeoEdge solves a different problem from the rest of this list, and app publishers often need it more than they need IVT measurement.

What it does. Ad quality and security across web, in-app and CTV. It scans creatives and landing pages for malvertising, auto-redirects, phishing, and policy violations, then blocks the specific malicious creative rather than cutting off the whole demand partner. Blocklist updates ship within hours, and blocking policies can be set by top-level domain, content category, keyword, app ID and app store category. It also handles audio-specific issues like loudness and creative length. Operating since 2010, headquartered in Nicosia.

Pricing. Not published. Sold to publishers, platforms and developers by volume.

Pros. Creative-level blocking is the important distinction: cutting a whole demand source to stop one bad ad costs you fill, and GeoEdge avoids that trade. For a mobile game, auto-redirect ads are a session-killer and a review-score problem, so this maps directly to retention rather than only to revenue.

Cons. It does not measure IVT. If you buy GeoEdge expecting a traffic quality number to show a demand partner, you bought the wrong product. You still need one of the vendors above.

Reviews. Well regarded for detection speed and policy granularity. Publishers of all sizes use it, from small to enterprise.

Best for. App and game publishers where ad-driven user experience damage is the live problem.

Avoid if. Your problem is IVT measurement, not creative quality.

8. Confiant

Confiant is GeoEdge’s closest competitor and the other serious option for malvertising defense.

What it does. Real-time detection and blocking of malvertising, scams, privacy violations and mis-categorized ads. It integrates through standard ad tech integrations for web and through an SDK for mobile app publishers. Founded 2013 in New York. Customers include Microsoft, Paramount and Magnite. The company publishes an ad quality benchmark report and maintains a public Malvertising Attack Matrix mapping threat actors that use ads as an attack vector.

Pricing. Not published.

Pros. The threat intelligence work is the differentiator. Confiant tracks attackers rather than only patterns, which matters against groups that rotate creatives faster than a blocklist updates. The published attack matrix is genuinely useful even before you become a customer.

Cons. In-app protection requires an SDK integration, which means a client release and store review cycle. That is a heavier lift than the tag-based options and a real consideration if you ship infrequently.

Reviews. Strong reputation in security circles. Less review volume in mainstream ad tech software directories than GeoEdge.

Best for. Publishers who want threat-actor-level intelligence and can carry an SDK integration.

Avoid if. You cannot add an SDK, in which case GeoEdge’s integration path is simpler.

Comparison

If you also buy user acquisition

Four tools cover the campaign side. They will not tell you anything about your monetization traffic.

TrafficGuard has the deepest mobile install fraud coverage: click injection, click flooding, SDK spoofing and device farm detection, with integrations into Adjust, AppsFlyer, Kochava, Singular and other MMPs. Founded 2015 in Perth, a subsidiary of ASX-listed Adveritas, serving over 5,000 advertisers and processing more than 3 trillion data points per month. Pricing runs at 2% of ad spend with a free tier for smaller budgets, which reviewers describe as easy arithmetic when the tool recovers more than that. Setup confusion comes up in reviews.

Spider AF covers click fraud, install fraud, cookie stuffing and domain spoofing, with over 60 billion clicks analyzed and a shared blacklist across customers. Reviewers rate the interface and automated rules highly. Cost comes up as a concern for smaller teams.

Anura claims it flags a visitor only when detection is certain, positioning itself on false positive elimination rather than catch rate. Capterra lists a starting price of $1,500/month with a free trial. Reviewers rate support highly and describe reporting clarity as an area for improvement.

mFilterIt covers similar ground with stronger presence in India and Southeast Asia, which matters if your UA spend is concentrated there.

Do the free things first

Before you buy anything, three of these cost nothing and remove a meaningful share of the problem.

1. Fix app-ads.txt and sellers.json. An incomplete or stale app-ads.txt file is the most common reason a legitimate app looks like spoofed inventory. Buyers check it before they check anything else.
2. Turn on your ad platform’s own filtering and read the diagnostics. Google’s invalid traffic detection flags accidental clicks from bad placement, automated traffic and click farms, and it will reduce your earnings or put your account standing at risk if you ignore it. Our AdMob setup guide covers where those controls sit.
3. Set a bot management policy. In May 2026 IAB Tech Lab released guidance on bot and crawler management strategies, developed because most publishers had no formal approach at all. Blanket blocking is no longer the right default, since some non-human traffic is a licensing opportunity and some is pure extraction. The guidance complements the CoMP API and is worth reading before you configure anything.

Then measure. Fraudlogix’s free tier or Pixalate’s public rankings will both give you a number without a contract, and knowing your number changes which of the paid tools you actually need.

What none of these tools do

Every product above answers the same question: is this traffic real. None of them answer the question that costs most app publishers more money week to week: your inventory is clean, your eCPM just dropped 40% in one geo, and nobody will notice for four hours.

Fraud tools flag. They do not act on yield. A vendor can tell you a demand partner’s traffic is invalid, and you still have to open the ad server, find the tag, and switch it. That gap between detection and action is where revenue leaks, and it exists whether or not you have a fraud problem. We wrote about the signals that your ad stack has outgrown manual reaction times, and about what an AI ad ops layer actually does once it sits on top of your existing setup.

Run both. Fraud detection protects your reputation with buyers. Automated ad ops protects the revenue your clean inventory should already be earning. If you are still working out where your eCPM should sit before you can tell whether a drop is fraud or auction dynamics, our guide to eCPM benchmarks is a reasonable starting point, and the adtech glossary covers the terminology these vendors use without explaining.

FAQ

What IVT rate is normal for a mobile app?

Pixalate’s Q1 2026 global figure for mobile app traffic was 39%, but that measures open auction programmatic traffic across the whole ecosystem, including inventory built for fraud. A well-run app with clean acquisition sources typically sits in the low single digits to low teens. If you are above 20% and you are not buying incentivized traffic, look at your UA sources before you look at your monetization stack.

Does high IVT get my app removed from demand partners?

It can, though the more common outcome is quieter. Buyers reduce bids, deprioritize your supply path, or exclude your bundle from specific campaigns without telling you. That shows up as falling fill and eCPM rather than a removal notice, which is why measuring your own rate matters more than waiting for a complaint.

Is SDK-based detection worth the integration cost?

For malvertising protection in an app, usually yes, because creative-level threats reach the user directly and tag-based approaches have less visibility inside a native app. For IVT measurement, usually no: bid request analysis and tag-based post-bid detection get you most of what you need without a client release.

Can AI bot traffic be monetized rather than blocked?

Some of it. IAB Tech Lab’s 2026 guidance frames this as separating allies from extractors: search crawlers and licensed AI partners behave differently from scrapers, and blanket blocking gives up value you could negotiate for. What you cannot do is serve ads against it and count those impressions, which is where non-human traffic becomes an IVT problem rather than a licensing question.

Do I need more than one fraud vendor?

Most app publishers need one IVT measurement vendor and one ad quality vendor, because those are genuinely different products. Running two IVT vendors in parallel is something large platforms do to validate methodology against each other, and it is hard to justify below significant scale.

Ready to find out what your setup is actually losing? Fraud tools tell you whether your traffic is real. They do not tell you what your ad stack leaves on the table between a performance drop and someone reacting to it. UndrAds runs a revenue leak audit on your existing GAM or mediation setup: how often your eCPM drops, how long each drop lasts before anyone acts, and what that window costs per month. No SDK, no app changes, no migration. Talk to the UndrAds team to book the audit.