Blind spots waste media budgets
Undetected manipulated impressions, clicks and visits can feed optimisation systems as if they were valid contacts. Reported IVT may therefore underestimate exposure.
Anti-fraud systems can only report what they detect. Through controlled, authorised experiments we independently assess whether publisher and advertiser safeguards really function – before blind spots undermine budgets, inventory quality and trust.
Digital media quality is frequently assessed through invalid traffic rates, brand safety reports and vendor certifications. These measures matter, but do not answer the central question: does the system actually detect the defined fraud scenarios it is supposed to stop?
Undetected manipulated impressions, clicks and visits can feed optimisation systems as if they were valid contacts. Reported IVT may therefore underestimate exposure.
0.5% detected IVT does not necessarily mean 99.5% verified human contacts. Without experimental validation, independently established detection coverage remains unknown.
Flagging an event is not enough. Effective controls must classify, block, record and escalate problematic activity – with traceable responses.
Validate whether DSP, pre-bid, post-bid and measurement safeguards cover the risks they claim to address. Examine whether suspicious activity triggers action and whether optimisation systems are exposed to unverified signals.
On your authorised infrastructure, assess whether anti-bot and anti-fraud controls detect, classify and block agreed patterns without excessive false positives.
Define authorised inventory, stakeholders, permissions, limits, measurement points and stop conditions.
Document normal system behaviour and reporting as a reference.
Execute agreed scenarios only on authorised systems using identifiable test traffic.
Compare ground truth with platform signals, blocking decisions, logs, billing and response times.
Receive evidence-based findings, prioritised fixes and optional validation after changes.
An ad fraud stress test is a controlled, authorised experiment using predefined test scenarios to independently assess detection, blocking, classification and escalation controls.
The reported rate only covers activity classified as invalid under the measurement methodology. Undetected patterns are not automatically included, while coverage and false-negative risk may be unclear.
An audit reviews existing evidence, processes and risks. A stress test adds controlled experimental scenarios with expected responses, documented ground truth and verifiable observed control behaviour.
Depending on the agreed scope, test inventory, written permissions, DSP and adserver logs, anti-fraud reports and independent measurement points. Any inaccessible systems are documented as limitations.
No. It can verify the behaviour of particular controls under tested conditions, not guarantee protection against every present or future fraud technique.
No. Only explicitly authorised, controlled environments are in scope. Unrelated publishers, real users and unauthorised systems are excluded.
We can define the critical control questions and an explicitly authorised testing scope.
No testing of unauthorised third-party infrastructure · No deceptive real-user traffic · No unsupported effectiveness claims