How This Briefing Works
This dossier opens with key findings, then maps the gap between what Zenrows discloses and what BLACKOUT observed at runtime. From there: what it means for your organization, what to do about it, and the detection evidence underneath. BLACKOUT observes runtime browser behavior and cites the regulations that address each pattern — legal determinations are your counsel's call.
At a Glance
across 1 sites
vendor fires before consent
Briefing
Fraud detection vendor detected deploying defeat device (BTI-C01), behavioral biometrics (BTI-C06), session recording (BTI-C07), cross-domain sync (BTI-C08), consent bypass (BTI-C09), fingerprinting (BTI-C10), persistence (BTI-C13), and tag manager (BTI-C15). Signal corruption at 40 reflects significant measurement interference through security layer instrumentation. CAC subsidization at 100 indicates complete competitive intelligence transfer through cross-customer fraud pattern monitoring. Legal tail risk at 100 driven by maximum surveillance deployment through anti-bot infrastructure.
What This Means For You
Marketing teams lose conversion attribution when security challenges filter behavioral signals. Analytics teams face measurement distortion from fraud detection layer interference. Legal teams inherit maximum liability exposure when anti-bot platform deploys comprehensive surveillance. Revenue operations teams subsidize complete competitor intelligence through shared fraud monitoring infrastructure.
Risk Channel Breakdown
Security layer instrumentation corrupts website analytics by filtering behavioral signals through fraud detection workflows, creating measurement blindspots and distorting user journey attribution when visitors trigger bot detection challenges.
Cross-customer fraud monitoring transfers complete competitive intelligence as Zenrows observes which anti-bot strategies competitors deploy, security friction patterns across industries, and fraud detection responses across shared customer base.
Expands attack surface
Fraud detection platform deploying comprehensive surveillance, consent bypass, and tag management creates maximum liability exposure when security infrastructure itself enables visitor monitoring that violates privacy expectations and regulatory frameworks governing authentication workflows.
Threat Indicators
Runtime-observed (BTI-C)
Evasion infrastructure, auditor bypass
Keystroke/mouse tracking
Full session replay
Identity stitching
Ignoring CMP signals
Device identification
Long-lived identifiers
Container/loader (neutral)
Per-code narrative explanations of what each detected behavior means for your organization
Per-code evidence with full attribution chain, severity rankings, and consequence narratives See pricing →
Claims vs. Reality
BLACKOUT analyzed Zenrows's public claims against observed runtime behavior and identified 1 contradiction.
Full claim-vs-reality gap analysis with claim text, observed behavior, severity, regulatory citations (GDPR, CCPA, ePrivacy), and evidence pointers per gap See pricing →
What To Do
6 for current users · 3 for evaluators
contractual leverage points
Role-specific actions (security / legal / marketing / procurement), full negotiation brief with contractual language, and BTI-code-specific consequences See pricing →
Supply Chain & Pairings
Claims 0, observed 1
Full supply-chain mapping (loads / loaded-by lists with vendor identities) and the undisclosed-subprocessor list with observation evidence See pricing →