How This Briefing Works
This dossier opens with key findings, then maps the gap between what Deepseek 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
Deepseek leverages AI infrastructure to create sophisticated visitor profiling that extends beyond traditional analytics. The platform captures behavioral patterns for machine learning model training, synchronizes visitor identities across properties, and employs fingerprinting techniques to maintain persistent tracking that informs AI-driven intent prediction and targeting models.
What This Means For You
Customers visiting sites with Deepseek face AI-powered behavioral analysis that captures interaction patterns for machine learning model training. Behavioral data including scroll patterns, hesitation signals, content engagement timing, and cross-visit behavior are processed through ML algorithms to generate intent predictions. These AI-derived signals inform competitor targeting based on predicted purchase propensity rather than explicit behavioral indicators.
Risk Channel Breakdown
AI model training data injection creates 40% signal corruption as Deepseek captures behavioral patterns for ML algorithms rather than direct conversion measurement, distorting attribution analysis.
Cross-domain visitor profiling feeds AI-generated intent predictions to demand generation networks, creating 100% CAC subsidization as competitors target visitors based on machine learning-derived signals.
Expands attack surface
AI-powered behavioral analysis combined with persistent fingerprinting creates 60% legal tail risk through GDPR Article 22 automated decision-making violations and opaque data processing.
Threat Indicators
Runtime-observed (BTI-C)
Evasion infrastructure, auditor bypass
Keystroke/mouse tracking
Identity stitching
Device identification
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 Deepseek'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
5 for current users · 5 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
Full supply-chain mapping (loads / loaded-by lists with vendor identities) and the undisclosed-subprocessor list with observation evidence See pricing →