HUMAN Security today announced that its Ad Viewability Measurement product has received accreditation from the Media Rating Council (MRC) for viewability across display and video impressions. The accreditation covers desktop, mobile web, and mobile app environments, extending a set of certifications the company has been building across the programmatic advertising stack.

The announcement, dated April 27, 2026, marks a formal recognition of HUMAN's methodology by the MRC, the non-profit industry body established in 1963 that audits measurement services across digital, television, radio, and print media. Currently approximately 110 research products carry MRC accreditation, according to the council.

What MRC accreditation means in practice

MRC accreditation is not a simple certification. Measurement services seeking the designation must disclose all methodological aspects of their service, comply with the MRC Minimum Standards for Media Rating Research and other applicable industry measurement guidelines, and submit to MRC-designed audits to authenticate their procedures. The process is lengthy, and passing it signals that a product's measurement approach has been independently verified rather than self-declared.

Viewability standards established by the MRC define a viewable display impression as one where at least 50% of an ad's pixels are visible in a browser tab for a minimum of one continuous second following ad render. For large display formats at 242,500 pixels or above, a reduced 30% pixel threshold may apply, provided this practice is disclosed. Video carries a stricter two-second requirement at the same 50% pixel threshold.

What makes HUMAN's accreditation different from most viewability certifications is the integration of invalid traffic (IVT) filtering directly into the measurement product. Most viewability vendors measure what is visible on a screen. HUMAN's approach, built on its FraudSensor post-bid detection system, filters out impressions generated by bots and automated traffic before calculating viewability rates. The argument is straightforward: a viewable impression shown to a bot is not a real viewable impression. Separating those two things requires a security-first architecture, not just a measurement layer.

According to HUMAN Security's announcement, the system is powered by a behavioral signal network built over more than 14 years of operation and shaped through partnerships with major platforms and digital ecosystems. The company states it analyzes over a quadrillion digital interactions each year to distinguish legitimate human activity from automated threats.

FraudSensor and the supply path approach

The technical foundation of HUMAN's viewability product rests on FraudSensor, described in the announcement as HUMAN's post-bid solution for detecting advertising fraud. Unlike pre-bid tools that block suspicious inventory before a bid is placed, post-bid detection validates impressions after they are served, providing a complete picture of what reached an audience - and what did not.

HUMAN's viewability measurement goes beyond standard pixel-in-view calculations by analyzing what the company calls supply-path-level signals. Rather than simply measuring whether an ad was technically visible, the system identifies which specific supply paths, device types, and placements are driving viewability outcomes, and where quality problems originate. This approach produces what the company describes as granular, explainable reporting - the system flags not only where measurement is reliable but also where it is not, rather than providing aggregate numbers without qualification.

The contrast with incumbent measurement vendors matters here. Traditional viewability measurement has often been criticized for opaque methodologies that do not reveal the assumptions behind the numbers. When an impression is unmeasurable - because a measurement tag could not load, for example, or because the environment does not support standard measurement - many vendors either exclude those impressions from reported totals or apply statistical modeling without clear disclosure. HUMAN's approach, according to the announcement, explicitly flags unmeasurable inventory to prevent what it calls false confidence in reported metrics.

As PPC Land has tracked, HUMAN's viewability product has been building traction across the programmatic supply chain since at least October 2025, when AdRoll became the first demand-side platform to integrate both HUMAN's FraudSensor post-bid measurement and MediaGuard pre-bid technology. That integration enabled invalid traffic detection within 12 milliseconds across desktop, mobile, in-app, and connected TV environments. The AdRoll partnership demonstrated the product's commercial readiness ahead of formal MRC accreditation.

The IVT context

The backdrop against which this accreditation lands is significant. Industry data on invalid traffic rates has grown steadily more alarming over recent years. A Pixalate analysis of Q4 2023 programmatic data found that 25% of programmatic traffic failed supply chain object validation checks, with failing traffic showing a 64% higher IVT rate than validated traffic. Longer supply chains with more intermediaries showed an 80% higher average IVT rate than shorter ones.

More recent MRC standards updated IVT detection requirements to include machine learning guidelines, mobile in-app requirements, OTT-specific considerations, and detailed IVT discrepancy resolution procedures. The standards define IVT broadly as any traffic or associated media activity that fails to meet quality or completeness criteria, or otherwise does not represent legitimate traffic that should be included in measurement counts.

The problem is compounding. HUMAN Security's own analysis during Super Bowl LX in February 2026 tracked 74 million blocked retail scraping attacks within a single broadcast window, alongside a 33% rise in invalid bid requests and a 5% increase in AI agent activity. The event illustrated how automated traffic - some malicious, some legitimate - increasingly operates alongside real human users in ways that standard analytics tools are not built to distinguish.

This blurring between human and machine traffic is precisely the context HUMAN is positioning against. According to the company's 2026 State of AI Report, automation is currently growing eight times faster than human web traffic, a figure that was central to HUMAN's separate announcement on April 21, 2026, covering the expansion of its Agentic Visibility capabilities to marketing teams. Against that backdrop, a viewability measurement product that cannot distinguish bot impressions from human impressions produces systematically misleading data.

MRC's assessment

According to the announcement, George Ivie, CEO at the MRC, stated that the accreditation reflects a rigorous evaluation process, demonstrating HUMAN's commitment to enabling transparency and trust across the adtech ecosystem by adhering to industry best practices for digital ad measurement.

MRC accreditations for viewability have been contested terrain in recent years. DoubleVerify received MRC accreditation for CTV viewability in April 2024, following its accreditation for desktop and mobile display and video. IAS earned MRC accreditation for third-party Amazon DSP measurement covering impressions, viewable impressions, and invalid traffic in November 2025. HUMAN's accreditation follows that trajectory, though its explicit framing around IVT-filtered viewability differentiates the product from traditional viewability vendors.

Google's own Active View measurement underwent significant changes in July 2025, when adjustments to MRC-accredited metrics for Invalid Begin to Render Impressions and General Invalid Traffic Begin to Render Impressions resulted in estimated 100% increases in reported counts across Display and Video 360. The changes reflected enhanced IVT detection rather than an actual increase in fraud, illustrating how measurement methodology changes can materially shift the numbers advertisers rely on.

Sovrn's experience

One early adopter cited in the announcement is Sovrn, a technology platform providing publishers, creators, and advertisers with advertising, commerce, and data tools. Sovrn has featured in PPC Land's coverage for its pricing innovations in programmatic, including its October 2024 decision to eliminate revenue sharing for publishers using its sales house product - a move designed to give publishers a larger share of media dollars.

According to Jeff Meglio, Managing Director of Sovrn, the partnership with HUMAN has produced more meaningful outcomes across the market, with viewability metrics providing confidence in performance measurement through detailed reporting that supports day-to-day operational decisions.

The Sovrn case also illustrates the retail media angle. As retail media networks scale, measurement quality becomes a central commercial concern. Publishers and platforms participating in retail media inventory need assurance that the impressions they are selling are both viewable and free of fraudulent activity. A combined IVT-and-viewability signal addresses both concerns simultaneously.

Where this fits in the supply chain

The announcement positions the accreditation as relevant to a broad set of participants: advertisers, agencies, platforms, and retail media networks. This reflects the layered nature of programmatic measurement, where the same impression can be assessed differently by multiple parties across a complex supply path.

According to the announcement, Geoff Stupay, SVP and Global Head of Product at HUMAN Security, described the behavioral signal network as built over more than 14 years through partnerships with some of the largest and most complex platforms, brands, and digital ecosystems in the world. The newly accredited viewability offering, according to Stupay, gives brands the precision they need across the media supply chain to confidently protect and optimize their media investments.

The product's applicability to retail media is worth noting in context. European retail media spending reached 13.7 billion euros in 2024, according to IAB Europe data, representing 21.1% annual growth. As retail media networks build out their advertising products, transparent and fraud-resistant measurement becomes a prerequisite for large-scale advertiser commitment. Without credible viewability data, advertisers have limited basis for comparing retail media inventory against other digital channels.

The MRC accreditation does not change the underlying technology. What it does is provide an independent institutional validation that HUMAN's methodology meets the standards the industry has collectively agreed to require. For advertisers evaluating measurement vendors, that distinction has practical significance when deciding which numbers to act on.

Timeline

Summary

Who: HUMAN Security, Inc., a cybersecurity and trust infrastructure company, with the Media Rating Council (MRC) as the accrediting body, and Sovrn as an early adopter of the accredited product.

What: HUMAN's Ad Viewability Measurement product received MRC accreditation for viewability across display and video impressions. The product combines post-bid viewability measurement with invalid traffic filtering via FraudSensor, and provides supply-path-level reporting that flags unmeasurable inventory rather than aggregating it into undisclosed statistical models.

When: The accreditation was announced on April 27, 2026. HUMAN's behavioral signal network underlying the product has been in development for more than 14 years.

Where: The accreditation covers display and video impressions across desktop, mobile web, and mobile app environments. It is relevant to advertisers, agencies, supply-side platforms, and retail media networks operating in programmatic advertising.

Why: Digital advertising increasingly involves a mix of human users, legitimate AI agents, and fraudulent bot traffic. Standard viewability measurement does not separate these categories, producing inflated or misleading viewable impression counts. HUMAN's approach applies IVT filtering before reporting viewability, producing numbers that reflect verified human exposure rather than raw technical visibility. The MRC accreditation validates that methodology against independently audited industry standards.

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