How This Briefing Works
This report opens with key findings, then maps the gaps between what Blueshift 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
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
Recommended Actions for Blueshift
- →• Audit LiveRamp audience syndication configuration to understand exactly which of the 500+ downstream destinations receive your customer data and how audiences are matched • Review cross-device identity resolution to determine if anonymous pre-login behavior is being retroactively merged with known customer profiles without appropriate consent • Map all data shared with Blueshift's third-party service providers and assess whether data processing agreements cover each relationship • Evaluate Customer AI Agent autonomy settings to ensure automated experimentation and campaign optimization operate within acceptable governance boundaries • Establish data portability and deletion procedures — confirm what happens to unified customer profiles and predictive model data upon contract termination
Negotiation Leverage
- →Key leverage: Blueshift's predictive models improve with data volume, making customer retention valuable to them — use this during renewals. The LiveRamp syndication is the primary negotiation point: demand granular control over which downstream destinations receive your data, and contractual right to disable syndication entirely. Request disclosure of all third-party service providers receiving your data under Blueshift's privacy policy. Key questions: (1) Can LiveRamp audience syndication be disabled at the account level while retaining core CDP and marketing automation features? (2) What specific data does Blueshift retain after contract termination, and what is the deletion timeline? (3) Are anonymized or aggregated customer profiles used to train predictive models that benefit other Blueshift customers? (4) What governance controls exist over autonomous Customer AI Agent decisions? Protections to negotiate: opt-out from LiveRamp syndication, data deletion SLA with verification, restriction on cross-customer model training, human-in-the-loop requirement for AI Agent actions above defined thresholds.
IOC Manifest
Indicators of compromise across 4 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
71 detection signatures across scripts, domains, cookies, and network endpoints