How This Briefing Works
This report opens with key findings, then maps the gaps between what AB Tasty discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection data and evidence underneath.
Key Findings
Analysis pending. Findings will appear here once intelligence collection is complete.
Claims vs. Observed Behavior
pending
“Awaiting scanner verification”
Runtime behavior not yet observed by BLACKOUT scanner
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
Recommended Actions for AB Tasty
- →Review whether your privacy policy specifically discloses EmotionsAI emotional profiling as a form of data processing distinct from standard A/B testing analytics.
- →Audit the 250+ dimensions collected by Universal Collect to understand what behavioral data AB Tasty captures and whether it duplicates other analytics implementations.
- →Assess the performance impact of AB Tasty's synchronous tag loading on page render times and establish monitoring for CDN latency.
- →Map all data flows through the Universal Data Connector API to understand where behavioral dimensions and emotional segments propagate to connected CDPs, DMPs, and CRMs.
- →Implement Content Security Policy headers that constrain AB Tasty's JavaScript injection capabilities to only approved campaign types.
Negotiation Leverage
- →Leverage: AB Tasty's European headquarters and GDPR compliance positioning are core selling points. Hold the vendor to these claims with contractual specificity, particularly around EmotionsAI. Key questions: (1) What specific data points feed the EmotionsAI emotional classification, and does this processing constitute automated profiling under GDPR Article 22? (2) What are the 250+ dimensions collected by Universal Collect, and which can be disabled without impacting core A/B testing functionality? (3) What data is transmitted to AB Tasty servers versus processed client-side? (4) Does AB Tasty retain or use collected behavioral data or emotional classifications for product improvement, model training, or benchmarking across customers? Protections to negotiate: explicit data processing agreement covering EmotionsAI as a distinct processing activity, granular control over which Universal Collect dimensions are active, data deletion SLAs upon contract termination, written confirmation that emotional profiling data is not used for cross-customer model training, and performance SLAs for the synchronous tag to protect page load times.
IOC Manifest
Indicators of compromise across 5 categories. Use for detection rules, CSP policies, or Pi-hole blocklists.
Ecosystem & Supply Chain
Evidence Artifacts
Artifacts collected during analysis, available with evidence-tier access.
Complete network capture with all requests and responses
215 detection signatures across scripts, domains, cookies, and network endpoints