Botlab (previously known as botlab.io) is a non-profit, volunteer based research foundation focused on research, publication and open-source development related with ad fraud, malvertising, privacy violations and other malicious practices in the advertising supported internet.

WFA published the paper as an official guideline document to its members[8] for understanding and countering ad fraud.

In addition Botlab's work and commentary have been widely featured in ad industry press,[12][13][14] events and social media.

Botlab also contributed as co-author to Independent auditing of online display advertising campaigns, a research paper accepted to Hotnets academic conference in 2016[15] and was a major contributor in Entropy Method for Detecting Invalid Traffic at Scale,[16] a paper introducing an open source method for large scale detection of invalid traffic.

During 2015 and 2016 Botlab made available three open source solutions focused on detection and prevention of advertising fraud: In addition to being listed as one of the partners[20] by World Federation of Advertisers, since Botlab's founding in early 2015 its Principal Mikko Kotila acted as the co-chair for I-COM's Data Science Board,[21] I-COM is a global trade body backed by 100 associations in 40 countries,[22] today, exploring the creation of business value from Marketing Data & Measurement.