Design Token
A named variable encapsulating atomic visual design attributes such as color values, typography rules, and spacing scales.

THE TECHNICAL LANGUAGE OF DIGITAL B2B INFRASTRUCTURE
The policies and controls used to reduce the risk that advertising appears beside content or in contexts that could harm a brand.
Ads that appear next to harmful or misleading content can damage reputation and trust, so brand safety controls protect the brand while balancing reach and cost.
A financial services advertiser excludes sensitive content categories in Google Ads, applies a list of 2,000 blocked YouTube channels and uses a verification vendor that reports the share of impressions flagged as unsafe each week.
Broad keyword blocklists can block legitimate news and reduce reach while raising CPMs. Classification of video, user-generated and live content is imperfect, and brand safety settings do not guarantee that every placement fits the brand.
Controls work at several levels: platform settings such as inventory type and content exclusions, keyword and URL blocklists or allowlists, contextual classification using taxonomies like the IAB Tech Lab Content Taxonomy, and pre-bid and post-bid verification. Industry frameworks separate a floor of content no advertiser should fund from a brand-specific suitability tier.
AI Governance, Cybersecurity
Google Ads Help — About content suitability — https://support.google.com/google-ads/answer/12764663; IAB Tech Lab — Content Taxonomy — https://iabtechlab.com/standards/content-taxonomy/
A named variable encapsulating atomic visual design attributes such as color values, typography rules, and spacing scales.
Software that perceives context, reasons about a goal, and uses tools or other systems to complete tasks with a defined degree of autonomy.
An HTML attribute signaling language and regional page variations to search engines for localized search results delivery.
Machine learning trains models on data to classify, predict, cluster or generate content, using supervised, unsupervised and reinforcement learning methods.
Why data gets trapped in separate tools and departments, how it leads to conflicting reports and manual work, and the usual ways to connect it.