Mesure de la Brand Safety et
de la Brand Suitability

Le CESP souligne que ces grilles sont basées sur la confiance accordée par le CESP à l’égard des informations fournies par les mesureurs.

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Les mesureurs sont répartis dans plusieurs onglets en fonction de leur accréditation ou non selon les standards IAB 2012 (aucune solution n’est accréditée par les standards IAB 2018).

Environnement Web

Environnement In-app

Environnement Web

Solutions accréditées - IAB 2012

Updated February 2024	Double Verify	Integral Ad Science
1) At what granularity level does your solution perform content analysis for Brand Safety? (calculation rules for scoring)
a) domain	Yes	Yes
b) subdomain	Yes	Yes
c) page	Yes	Yes
c-1) If yes, please explain how your page level control works? (query analysis, words on the page, meaning detection...)?	DV uses proprietary technology as well as peer review to classify pages with display and video assets. DV technology is able to see through to the URL and collects data points such as incoming and outgoing links, text, context and the frequency and prominence of words and concepts. DV also analyzes a site and page's HTML code and structure, along with domain registration records and articles about the site in prominent online reference and news sites. In addition, to ensure we are accurately reflecting the dynamic nature of online content, we frequently reassess sites to ensure we have the most current classification and we maintain records of previous content to create a model of a site and page's classification not just on a single moment, but over time. DV manually reviews high-profile sites to ensure the most accurate representation of the sites. Once a page is classified, DV javascript tag will call up advertiser brand safety settings to understand if an impression is deemed as suitable.	IAS crawls pages for page content (URL, page metada, entry links, external links and feed information) and carry out context analysis, semantic analysis, sentiment analysis
2) Which are the limitations in running the Brand Safety analysis (elements which explain that part of the page contents will not be accessible / limited access to the data)	Please see below for specific instances.	None
a) dynamic content in javascript	DV does not have limitations to performing brand safety analysis on pages that have dynamic content.	N/A
b) iframe (is your solution able to detect the URL iframe in a page?)	DV does not have limitations to performing brand safety analysis on pages that utilize iframes.	N/A
c) websites that stop bots from visiting their pages	DV will contact the publisher to request access for it's automated technology so that classification can be properly performed. In the event that the automated technology cannot be used DV may also use a manual classification process to categorize the website.	N/A
d) Which are the other limitations in running the Brand Safety analysis?	User generated content, such as comments that require user interaction to access; content that is located behind a login	N/A
3) What capabilities are available for monitoring and blocking in mobile app environments?	NA	N/A
4) How frequently do you update the classification of different websites/pages/apps?	DV updates classifications dynamically depending on multiple factors such as content risk levels, popularity/trends in volumes, news cycle, etc. For example, some pages containing multiple quickly refreshing content segments, such as homepages, have their classification refreshed close to 100 times every day. Other pages may have their classification refreshed daily or weekly. Additionally, DV mandates all websites with material traffic to have their classification refreshed every 30-90 days.	Updates are done on a constant and recurring basis, depending on a lot of factors including the update frequency of each page.
5) For how many languages do you support categorisation?	42	41
6) Does French is one of the original languages used for categorisation?	Yes DV supports and is MRC accredited for property-level verification in French as well as 33 other languages at the page and domain levels and accredited across 173 languages for language targeting and keyword blocking.	Yes
7) Is your solution compliant with the IAB filter categories?	Yes	Yes
8) Are you able to customize Brand Safety settings?	Yes	Yes
a) Sell Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Any dimension being reported - site/apps etc, as well as an inventory identifiers passed by sellers	Yes, Brand Safety customized thresholds and ad hoc context segments are available
b) Buy Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Inclusion lists (domains, sub-domains, languages), Exclusion lists (domains, sub-domains, languages, keywords), Override lists (domains, sub-domains, URLs), content categories including categories with customizable tiering	Yes, Brand Safety customized thresholds and ad hoc context segments are available
c) Buy Side approach: If yes, is your solution set up to enable clients to override your classifications?	Yes, DV's system is flexible and a Brand Safety profile is determined by the Clients. DV also allows for clients to maintain override lists in the event that even though a domain/page has a classification that the client chose as inappropriate it can be overridden and either allow the ad to serve or not count it as an incident.	Yes on client demand
c-1) If yes, at what granularity level?	Domain, subdomain, and URLs	domain, url
d) What is the time needed for the customization? (to be built, and to be made available for pre-bid processes)	This is available through the UI and is made available within minutes across DoubleVerify solutions and pre-bid integrations	Few hours. depends on the client's need of customization
9) Which are the processes to evaluate the accuracy of your Brand Safety segmentation?	Leveraging machine learning and manual review, DV classifies millions of websites on an ongoing basis. Our classification engine is purpose-built to analyze and create a detailed content profile of any piece of content using a comprehensive ontology, covering over 200,000 concepts using over 5.3 million rules. Each concept is associated with one or more patterns (words, phrases and regular expressions) that identifies that concept, as well as disambiguation rules to ensure that the relevant context is accurately identified. Multilingual ontologies are constructed by translating these concepts and adding language and culture-specific patterns. Classification is executed in over 40 languages. Manual Re-Review is conducted for high priority sites daily, with a sliding window, every 30-90 days
10) Are you able to prevent ads from being viewed post-bid?	Yes	Yes
11) Are you in the process of being accredited by MRC for Brand Safety based on the guidelines published in September 2018?	No	No
12) Have some of your features been accredited by MRC for Brand Safety?	Yes	Yes
a) If yes, which ones?	All aspects of Desktop and Mobile Web brand safety (ad verification) are accredited across multiple languages including: --unsuitable content incidents/blocks at domain and page level (in 35 languages at the domain and page level) -- URL keyword and language exclusion incidents and blocking (in 173 languages)	Firewall Brand Safety
13) Has your solution been accredited by MRC for alerting and blocking functions (IAB 2012 guidelines)?	Yes	Yes


1) Is your solution compliant with the GARM categories and tresholds?	Yes	Yes
2) Does your solution offer support for the GARM categories and Brand Safety floor?	Yes	Yes
2) bis If yes, could you please provide some information on your methodological approach?	DV has developed a proprietary category taxonomy to provide coverage for the range of content that may pose a safety or suitability concern, in the spirit of the GARM standards. DV provides a Brand Safety Floor setting, inclusive of five content categories. The content within DV’s Brand Safety Floor aligns with the APB/GARM Brand Safety Floor.
3) Does your solution offer support for the GARM category risk levels?	Yes	Yes


Types of signal used for Brand Safety evaluation
1) Do you use textual analysis of the page?	Yes	Yes
a) Do you need a prerequisite for implementing textual analysis?	No	No
b) Do you have any limitations? If yes, which ones?	No	No
2) Do you use image analysis?	Yes	Yes
a) Do you need a prerequisite for implementing image analysis?	No	No
b) Do you have any limitations? If yes, which ones?	No	No
3) Do you use video analysis?	Yes	Yes
a) Do you need a prerequisite for implementing video analysis?	No	No
b) Do you have any limitations? If yes, which ones?	No	No
4) Does your solution allow a semantic analysis?	Yes	Yes
5) Do you use the metadata analysis?	Yes, DV looks at the Metadata when classifiying content.
6) Do you use other signals for Brand Safety evaluation?	Yes	Yes
a) If yes, could you please specify which ones?	DV Brand Safety consists not only of site, page, and app classifications, but also keyword targeting and inclusions/exclusion lists. For Keyword Targeting DV utilises the URL associated with the page to identify whether any of the keyword(s) designated as inappropriate by the client are present. Inclusion/exclusion domain and app Id lists are also provided by the client to dictate the sites, pages, and apps their ads should or should not be appearing on.	IAS has partnered with the Global Disinformation Index (GDI) to transform how we help brands avoid misinformation, ensuring journalistic integrity and reaffirming support for quality news sites. The new partnership builds on IAS’s expertise in brand safety and suitability, further protecting brands from running ads on sites that GDI has identified for misinformation.
7) Do you take into account user generated content for Brand Safety?	Yes	Yes
a) If yes, which ones (photos, videos, comments)?	Image, video, and textual user-generated content	Commentaires, photos, videos
8) What capabilities are available for monitoring and blocking in mobile app environments?	NA	N/A

Types of signal used for Brand Suitability evaluation
1) Do you use textual analysis of the page?	Yes	Yes
a) Do you need a prerequisite for implementing textual analysis?	No	No
b) Do you have any limitations? If yes, which ones?	No	No
2) Do you use image analysis?	Yes	No but soon with Context (IAS has acquired Context, a digital content classification company Context’s technology will be integrated into IAS’s Context Control suite of suitability and contextual targeting solutions. This will enable IAS’s marketing partners to identify brand suitable content beyond standard frameworks and contextually target with granularity.)
a) Do you need a prerequisite for implementing image analysis?	No	N/A
b) Do you have any limitations? If yes, which ones?	No	N/A
3) Do you use video analysis?	Yes	No but soon with Context (IAS has acquired Context, a digital content classification company Context’s technology will be integrated into IAS’s Context Control suite of suitability and contextual targeting solutions. This will enable IAS’s marketing partners to identify brand suitable content beyond standard frameworks and contextually target with granularity.)
a) Do you need a prerequisite for implementing video analysis?	No	N/A
b) Do you have any limitations? If yes, which ones?	No	N/A
4) Does your solution allow a semantic analysis?	Yes	Yes
5) Do you use the metadata analysis?	Yes, DV looks at the Metadata when classifiying content.	No
6) Do you use other signals for Brand Suitability evaluation?	Yes	Yes
a) If yes, could you please specify which ones?	DV Brand Safety consists not only of site, page, and app classifications, but also keyword targeting and white/Exclusion lists. For Keyword Targeting DV utilizes the URL associated with the page to identify whether any of the keyword(s) designated as inappropriate by the client are present. White and black domain and app Id lists are also provided by the client to dictate the sites, pages, and apps their ads should or should not be appearing on.	The IAS CTV content-level brand safe targeting solution will be based on curated PMPs, created through the SSP integrations in the Publica's system
7) Do you take into account user generated content for Brand Suitability?	Yes	No
a) If yes, which ones (photos, videos, comments)?	Image, video, and textual user-generated content	N/A
8) What capabilities are available for monitoring and blocking in mobile app environments?	NA

Solutions non accréditées - IAB 2012

Updated February 2024	Adloox
1) At what granularity level does your solution perform content analysis for Brand Safety? (calculation rules for scoring)
a) domain	Yes
b) subdomain	Yes
c) page	Yes
c-1) If yes, please explain how your page level control works? (query analysis, words on the page, meaning detection...)?	Query analysis and words on page (detection of the meaning and/or list exclusion)
2) Which are the limitations in running the Brand Safety analysis (elements which explain that part of the page contents will not be accessible / limited access to the data)	When Adllox tracking either JS or image pixel cannot be executed or when insufficient data points are being collected.
a) dynamic content in javascript	No
b) iframe (is your solution able to detect the URL iframe in a page?)	No, Adloox solution can detect the URL iframe in a page and the real delivery content URL
c) websites that stop bots from visiting their pages	No
d) Which are the other limitations in running the Brand Safety analysis?	Content Verification is not possible when the invocation tag is in multiple nested iframes, unless an ad server/ DSP / SSP is able to supply data through ‘Source URL’ macro.
3) What capabilities are available for monitoring and blocking in mobile app environments?	N/A
4) How frequently do you update the classification of different websites/pages/apps?	Daily
5) For how many languages do you support categorisation?	Adloox does not intend to share this information
6) Does French is one of the original languages used for categorisation?	Yes
7) Is your solution compliant with the IAB filter categories?	Yes
8) Are you able to customize Brand Safety settings?	Yes
a) Sell Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Custom blacklist / whitelist / keyword exclusion – URL/Domain level granularity
b) Buy Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Custom blacklist / whitelist / keyword exclusion – URL/Domain level granularity
c) Buy Side approach: If yes, is your solution set up to enable clients to override your classifications?	Yes enabling campaign level keyword blocking to be uploaded and adapted in real-time
c-1) If yes, at what granularity level?	URL/Domain
d) What is the time needed for the customization? (to be built, and to be made available for pre-bid processes)	Maximum 24 hours
9) Which are the processes to evaluate the accuracy of your Brand Safety segmentation?	Manual review & AI/ML
10) Are you able to prevent ads from being viewed post-bid?	Yes
11) Are you in the process of being accredited by MRC for Brand Safety based on the guidelines published in September 2018?	No but Adloox is certied by TAG, based on an independent Audit performed by ABC.
12) Have some of your features been accredited by MRC for Brand Safety?	No but Adloox is certied by TAG, based on an independent Audit performed by ABC.
a) If yes, which ones?	N/A
13) Has your solution been accredited by MRC for alerting and blocking functions (IAB 2012 guidelines)?	No but Adloox is certied by TAG, based on an independent Audit performed by ABC.


1) Is your solution compliant with the GARM categories and tresholds?	Yes
2) Does your solution offer support for the GARM categories and Brand Safety floor?	Yes
2) bis If yes, could you please provide some information on your methodological approach?	We use ML to categorize content using the GARM floor and risk levels framework allowing us to classify content ranging from domains, sub domains, urls and apps. Then we proceed to manual verification of the content classification to ensure there is a human revision component in our workflow
3) Does your solution offer support for the GARM category risk levels?	Yes


Types of signal used for Brand Safety evaluation
1) Do you use textual analysis of the page?	Yes
a) Do you need a prerequisite for implementing textual analysis?	No
b) Do you have any limitations? If yes, which ones?	Content Verification is not possible when the invocation tag is in multiple nested iframes, unless an ad server/ DSP / SSP is able to supply data through ‘Source URL’ macro. When Content Verification is not possible through a Javascript tag, Adloox utilizes a crawler to parse content and determine if a URL or domain meets clients brand suitability requirements.
2) Do you use image analysis?	No
a) Do you need a prerequisite for implementing image analysis?	N/A
b) Do you have any limitations? If yes, which ones?	N/A
3) Do you use video analysis?	No
a) Do you need a prerequisite for implementing video analysis?	N/A
b) Do you have any limitations? If yes, which ones?	N/A
4) Does your solution allow a semantic analysis?	Yes
5) Do you use the metadata analysis?	No
6) Do you use other signals for Brand Safety evaluation?	No
a) If yes, could you please specify which ones?	N/A
7) Do you take into account user generated content for Brand Safety?	Yes
a) If yes, which ones (photos, videos, comments)?	All levels (manual review)
8) What capabilities are available for monitoring and blocking in mobile app environments?	N/A

Types of signal used for Brand Suitability evaluation
1) Do you use textual analysis of the page?	Yes
a) Do you need a prerequisite for implementing textual analysis?	No
b) Do you have any limitations? If yes, which ones?	No
2) Do you use image analysis?	No
a) Do you need a prerequisite for implementing image analysis?	N/A
b) Do you have any limitations? If yes, which ones?	N/A
3) Do you use video analysis?	No
a) Do you need a prerequisite for implementing video analysis?	N/A
b) Do you have any limitations? If yes, which ones?	N/A
4) Does your solution allow a semantic analysis?	Yes
5) Do you use the metadata analysis?
6) Do you use other signals for Brand Suitability evaluation?
a) If yes, could you please specify which ones?
7) Do you take into account user generated content for Brand Suitability?	Yes
a) If yes, which ones (photos, videos, comments)?	Comments
8) What capabilities are available for monitoring and blocking in mobile app environments?	N/A

Environnement In-app

Solutions accréditées - IAB 2012

Updated February 2024	Double Verify
1) At what granularity level does your solution perform content analysis for Brand Safety? (calculation rules for scoring)
a) domain	DV evaluates the app, but also the layers of content within the app if a URL exists within the request.
b) subdomain	DV evaluates the app, but also the layers of content within the app if a URL exists within the request.
c) page	DV evaluates the app, but also the layers of content within the app if a URL exists within the request.
c-1) If yes, please explain how your page level control works? (query analysis, words on the page, meaning detection...)?	DV uses proprietary technology as well as peer review to classify apps and layers of contents within the app with display and video assets. Our technology is able to see through to the true Bundle ID and use both own classification and store categories/age/user ratings to determine if the App is appropriate based on the advertisers selections.. Where URLs are available InApp we can provide further classification based on our ability collects data points such as incoming and outgoing links, text, context and the frequency and prominence of words and concepts and provide page level classification. DV also created a first-to-market white/Exclusion list based on App ID (Bundle ID for Apple/Application ID for Android). This solution works across any / all partners so long as our JavaScript blocking wrapper is used.
2) Which are the limitations in running the Brand Safety analysis (elements which explain that part of the page contents will not be accessible / limited access to the data)	Please see below for specific instances.
a) dynamic content in javascript	DV does not have limitations to performing brand safety analysis on pages that have dynamic content.
b) iframe (is your solution able to detect the URL iframe in a page?)	DV does not have limitations to performing brand safety analysis on pages that are contained within embedded browsers used within apps to display content.
c) websites that stop bots from visiting their pages	DV will contact the app developer to request access for it's automated technology so that classification can be properly performed. In the event that the automated technology cannot be used DV may also use a manual classification process to categorize the app.
d) Which are the other limitations in running the Brand Safety analysis?	User generated content, such as comments that require user interaction to access; content that is located behind a login
3) What capabilities are available for monitoring and blocking in mobile app environments?	DV content categories, white/Exclusion lists, app rating, age rating, app store category
4) How frequently do you update the classification of different websites/pages/apps?	DV reclassifies apps every 30-90 days.
5) For how many languages do you support categorisation?	42
6) Does French is one of the original languages used for categorisation?	Yes DV supports and is MRC accredited for property-level verification in French as well as 33 other languages at the page and domain levels and accredited across 173 languages for language targeting and keyword blocking.
7) Is your solution compliant with the IAB filter categories?	Yes
8) Are you able to customize Brand Safety settings?	Yes
a) Sell Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Any dimension being reported - site/apps etc, as well as an inventory identifiers passed by sellers
b) Buy Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Inclusion lists for apps, Exclusion lists for apps, App star reviews threshold, App age rating setting, app override controls, content categories including categories with customizable tiering
c) Buy Side approach: If yes, is your solution set up to enable clients to override your classifications?	Yes, DV's system is flexible and a Brand Safety profile is determined by the Clients. DV also allows for clients to maintain override lists in the event that even though a bundle ID/App ID has a classification that the client chose as inappropriate it can be overridden and either allow the ad to serve or not count it as an incident.
c-1) If yes, at what granularity level?	Bundle ID/ App ID
d) What is the time needed for the customization? (to be built, and to be made available for pre-bid processes)	This is available through the UI and is made available within minutes across DoubleVerify solutions and pre-bid integrations
9) Which are the processes to evaluate the accuracy of your Brand Safety segmentation?	Leveraging machine learning and manual review, DV classifies millions of apps on an ongoing basis. Our classification engine is purpose-built to analyze and create a detailed content profile of any piece of content using a comprehensive ontology, covering over 200,000 concepts using over 5.3 million rules. Each concept is associated with one or more patterns (words, phrases and regular expressions) that identifies that concept, as well as disambiguation rules to ensure that the relevant context is accurately identified. Multilingual ontologies are constructed by translating these concepts and adding language and culture-specific patterns. Classification is executed in over 40 languages. Manual Re-Review is conducted for high priority sites daily, with a sliding window, every 30-90 days
10) Are you able to prevent ads from being viewed post-bid?	Yes
11) Are you in the process of being accredited by MRC for Brand Safety based on the guidelines published in September 2018?	No
12) Have some of your features been accredited by MRC for Brand Safety?	Yes
a) If yes, which ones?	All mobile app features are accredited by the MRC at the property level. This includes A- pp contextual classification in 35 languages - Exclusion list or Inclusion list apps based on App ID - App star reviews - App age rating - App store categories
13) Has your solution been accredited by MRC for alerting and blocking functions (IAB 2012 guidelines)?	Yes


1) Is your solution compliant with the GARM categories and tresholds?	Yes
2) Does your solution offer support for the GARM categories and Brand Safety floor?	Yes
2) bis If yes, could you please provide some information on your methodological approach?	DV has developed a proprietary category taxonomy to provide coverage for the range of content that may pose a safety or suitability concern, in the spirit of the GARM standards. DV provides a Brand Safety Floor setting, inclusive of five content categories. The content within DV’s Brand Safety Floor aligns with the APB/GARM Brand Safety Floor.
3) Does your solution offer support for the GARM category risk levels?	Yes


Types of signal used for Brand Safety evaluation
1) Do you use textual analysis of the page?	Yes
a) Do you need a prerequisite for implementing textual analysis?	No
b) Do you have any limitations? If yes, which ones?	No
2) Do you use image analysis?	Yes
a) Do you need a prerequisite for implementing image analysis?	No
b) Do you have any limitations? If yes, which ones?	No
3) Do you use video analysis?	Yes
a) Do you need a prerequisite for implementing video analysis?	No
b) Do you have any limitations? If yes, which ones?	No
4) Does your solution allow a semantic analysis?	Yes
5) Do you use the metadata analysis?	Yes, DV looks at the Metadata when classifiying content.
6) Do you use other signals for Brand Safety evaluation?	Yes
a) If yes, could you please specify which ones?	DV Brand Safety consists not only of site, page, and app classifications, but also keyword targeting and inclusion/exclusion lists. For Keyword Targeting DV utilises the URL associated with the page to identify whether any of the keyword(s) designated as inappropriate by the client are present. Inclusion/exclusion domain and app Id lists are also provided by the client to dictate the sites, pages, and apps their ads should or should not be appearing on.
7) Do you take into account user generated content for Brand Safety?	Yes
a) If yes, which ones (photos, videos, comments)?	Image, video, and textual user-generated content
8) What capabilities are available for monitoring and blocking in mobile app environments?	DV content categories, white/Exclusion lists, app rating, age rating, app store category

Types of signal used for Brand Suitability evaluation
1) Do you use textual analysis of the page?	Yes
a) Do you need a prerequisite for implementing textual analysis?	No
b) Do you have any limitations? If yes, which ones?	No
2) Do you use image analysis?	Yes
a) Do you need a prerequisite for implementing image analysis?	No
b) Do you have any limitations? If yes, which ones?	No
3) Do you use video analysis?	Yes
a) Do you need a prerequisite for implementing video analysis?	No
b) Do you have any limitations? If yes, which ones?	No
4) Does your solution allow a semantic analysis?	Yes
5) Do you use the metadata analysis?	Yes, DV looks at the Metadata when classifiying content.
6) Do you use other signals for Brand Suitability evaluation?	Yes
a) If yes, could you please specify which ones?	DV Brand Safety consists not only of site, page, and app classifications, but also keyword targeting and white/Exclusion lists. For Keyword Targeting DV utilizes the URL associated with the page to identify whether any of the keyword(s) designated as inappropriate by the client are present. White / App domain and app Id lists are also provided by the client to dictate the sites, pages, and apps their ads should or should not be appearing on.
7) Do you take into account user generated content for Brand Suitability?	Yes
a) If yes, which ones (photos, videos, comments)?	Image, video, and textual user-generated content
8) What capabilities are available for monitoring and blocking in mobile app environments?	DV content categories, white/Exclusion lists, app rating, age rating, app store category

Solutions non accréditées - IAB 2012

Updated February 2024	Adloox	Integral Ad Science
1) At what granularity level does your solution perform content analysis for Brand Safety? (calculation rules for scoring)
a) domain	Yes (we exclude apps as well)	Yes, app
b) subdomain	N/A	Yes, app
c) page	N/A	Yes, app
c-1) If yes, please explain how your page level control works? (query analysis, words on the page, meaning detection...)?	N/A
2) Which are the limitations in running the Brand Safety analysis (elements which explain that part of the page contents will not be accessible / limited access to the data)	When Adllox tracking either JS or image pixel cannot be executed or when insufficient data points are being collected.	Yes supported by IAS but need publisher adoption of OM SDK 1.3 and above (content_url field communicated through OM SDK 1.3 and above).
a) dynamic content in javascript	No	N/A
b) iframe (is your solution able to detect the URL iframe in a page?)	No, Adloox solution can detect the URL iframe in a page and the real delivery content app	N/A
c) websites that stop bots from visiting their pages	No	N/A
d) Which are the other limitations in running the Brand Safety analysis?	N/A	N/A
3) What capabilities are available for monitoring and blocking in mobile app environments?	Blocking will be effective as usual but Adloox will filter out non brand safe apps using Bundle IDs. For delivery in a WebView context, Blocking capabilities will be similar to what we have on regular web environments.	Visibilite, fraude, brand safety
4) How frequently do you update the classification of different websites/pages/apps?	Daily	Updates are done on a constant and recurring basis, depending on a lot of factors including the update frequency of each app.
5) For how many languages do you support categorisation?	Adloox does not intend to share this information	41
6) Does French is one of the original languages used for categorisation?	Yes	Yes
7) Is your solution compliant with the IAB filter categories?	Yes	Yes
8) Are you able to customize Brand Safety settings?	Yes	Yes
a) Sell Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Custom blacklist / whitelist / keyword exclusion – App level granularity	Yes, Brand Safety customized thresholds and ad hoc context segments are available
b) Buy Side approach: if yes, what can you customize (alerts, thresholds,..) and at what granularity level?	Custom blacklist / whitelist / keyword exclusion – App level granularity	Yes, Brand Safety customized thresholds and ad hoc context segments are available
c) Buy Side approach: If yes, is your solution set up to enable clients to override your classifications?	Yes enabling campaign level keyword blocking to be uploaded and adapted in real-time	Yes on client demand
c-1) If yes, at what granularity level?	Apps	app
d) What is the time needed for the customization? (to be built, and to be made available for pre-bid processes)	Maximum 24 hours	Few hours. depends on the client's need of customization
9) Which are the processes to evaluate the accuracy of your Brand Safety segmentation?	Manual review & AI/ML
10) Are you able to prevent ads from being viewed post-bid?	Yes	Yes
11) Are you in the process of being accredited by MRC for Brand Safety based on the guidelines published in September 2018?	No	No
12) Have some of your features been accredited by MRC for Brand Safety?	No	No
a) If yes, which ones?	N/A	N/A
13) Has your solution been accredited by MRC for alerting and blocking functions (IAB 2012 guidelines)?	No	N/A


1) Is your solution compliant with the GARM categories and tresholds?		Yes
2) Does your solution offer support for the GARM categories and Brand Safety floor?		Yes
2) bis If yes, could you please provide some information on your methodological approach?	We use ML to categorize content using the GARM floor and risk levels framework allowing us to classify content ranging from domains, sub domains, urls and apps. Then we proceed to manual verification of the content classification to ensure there is a human revision component in our workflow
3) Does your solution offer support for the GARM category risk levels?		Yes


Types of signal used for Brand Safety evaluation
1) Do you use textual analysis of the page?	Yes	Yes
a) Do you need a prerequisite for implementing textual analysis?	N/A	No
b) Do you have any limitations? If yes, which ones?		No
2) Do you use image analysis?	No	Yes
a) Do you need a prerequisite for implementing image analysis?	N/A	No
b) Do you have any limitations? If yes, which ones?	N/A	No
3) Do you use video analysis?	No	Yes
a) Do you need a prerequisite for implementing video analysis?	N/A	No
b) Do you have any limitations? If yes, which ones?	N/A	No
4) Does your solution allow a semantic analysis?	Yes	Yes
5) Do you use the metadata analysis?	No
6) Do you use other signals for Brand Safety evaluation?	No	Yes
a) If yes, could you please specify which ones?	N/A	IAS has partnered with the Global Disinformation Index (GDI) to transform how we help brands avoid misinformation, ensuring journalistic integrity and reaffirming support for quality news sites. The new partnership builds on IAS’s expertise in brand safety and suitability, further protecting brands from running ads on sites that GDI has identified for misinformation.
7) Do you take into account user generated content for Brand Safety?	Yes	Yes
a) If yes, which ones (photos, videos, comments)?	All levels (manual review)	Commentaires, photos, videos
8) What capabilities are available for monitoring and blocking in mobile app environments?	Blocking will be effective as usual, but only in a WebView context	Brand Safety, Fraude

Types of signal used for Brand Suitability evaluation
1) Do you use textual analysis of the page?	Yes, application-by-application only	Yes
a) Do you need a prerequisite for implementing textual analysis?		Yes if OMD SDK 1.3 and above
b) Do you have any limitations? If yes, which ones?
2) Do you use image analysis?	No	No but soon with Context (IAS has acquired Context, a digital content classification company Context’s technology will be integrated into IAS’s Context Control suite of suitability and contextual targeting solutions. This will enable IAS’s marketing partners to identify brand suitable content beyond standard frameworks and contextually target with granularity.)
a) Do you need a prerequisite for implementing image analysis?	N/A	N/A
b) Do you have any limitations? If yes, which ones?	N/A	N/A
3) Do you use video analysis?	No	No but soon with Context (IAS has acquired Context, a digital content classification company Context’s technology will be integrated into IAS’s Context Control suite of suitability and contextual targeting solutions. This will enable IAS’s marketing partners to identify brand suitable content beyond standard frameworks and contextually target with granularity.)
a) Do you need a prerequisite for implementing video analysis?	N/A	N/A
b) Do you have any limitations? If yes, which ones?	N/A	N/A
4) Does your solution allow a semantic analysis?	Yes	Yes
5) Do you use the metadata analysis?		No
6) Do you use other signals for Brand Suitability evaluation?		Yes
a) If yes, could you please specify which ones?		The IAS CTV content-level brand safe targeting solution will be based on curated PMPs, created through the SSP integrations in the Publica's system
7) Do you take into account user generated content for Brand Suitability?	Yes	No
a) If yes, which ones (photos, videos, comments)?	Comments	N/A
8) What capabilities are available for monitoring and blocking in mobile app environments?	Adloox can filter out non brand safe apps using data retrived directly by its Javascript tag and relying on telemetry available through OM SDK.