How This Briefing Works
This report opens with key findings, then maps the gaps between what Insider 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
“Web SDK pre-consent data capture scope”
Awaiting scanner verification of which events and attributes the SDK captures before consent is granted
pending
“Service worker persistence via web push”
Service worker installation for push notifications creates persistent device presence that needs forensic analysis
pending
“Third-party data activation flows”
The 100+ integration ecosystem and bidirectional warehouse connections require mapping to understand full data flow chains
pending
“AI model training data sources”
Whether predictive models are trained on cross-client data or isolated per-customer needs verification
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
Recommended Actions for Insider
- →- Inspect websites for Insider Web SDK deployment and assess what behavioral events are being captured before consent - Review whether web push notification opt-in installs a persistent service worker on your device - Assess the scope of Insider's 100+ integrations on sites you interact with to understand where your behavioral data flows - Request transparency on whether AI predictive models are trained on cross-client aggregated data or isolated per customer - Monitor for cross-channel identity unification that links your web behavior to email, SMS, and push notification interactions
Negotiation Leverage
- →Insider is a well-funded AI-native CDP with deep behavioral data collection and predictive capabilities. Key leverage points: (1) The AI-driven personalization engine modifies user experience without transparency — demand disclosure of what algorithms are influencing what visitors see. (2) The 100+ integration ecosystem with bidirectional data flows creates consent propagation challenges — require mapping of exactly which systems receive behavioral data. (3) Web push service workers create persistent device presence beyond browser sessions. (4) Predictive analytics (purchase propensity, churn prediction) represent algorithmic profiling that may trigger GDPR Article 22 automated decision-making provisions.
IOC Manifest
Indicators of compromise across 2 categories. Use for detection rules, CSP policies, or Pi-hole blocklists.
No indicators in this category
Ecosystem & Supply Chain
Evidence Artifacts
Artifacts collected during analysis, available with evidence-tier access.
Complete network capture with all requests and responses
2 detection signatures across scripts, domains, cookies, and network endpoints