How This Briefing Works
This report opens with key findings, then maps the gaps between what Glassbox 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
“Requires scanner verification of runtime behavior”
Analysis based on Glassbox public documentation, AWS Marketplace listing, and privacy policy
What This Means For You
What To Do About It
Role-specific actions based on observed behavior
Recommended Actions for Glassbox
- →- Conduct a thorough review of Glassbox's default data capture scope to understand exactly what is being recorded before masking is applied. - Configure data masking rules proactively for all sensitive fields, recognizing that automatic capture will record everything until masking is explicitly configured. - Establish Session Vault retention limits aligned with actual compliance requirements rather than accepting default long-term storage. - Review all integration connections to understand where session replay data flows beyond the Glassbox platform. - Implement consent mechanisms that accurately describe the scope of automatic session capture to end users.
Negotiation Leverage
- →Leverage: Glassbox's ISO 27701 certification and privacy-by-design positioning creates an expectation of strong data governance. Hold them to this standard contractually. The tension between automatic capture and data minimization provides negotiation leverage for restrictive data processing terms. Key questions: What is the default data capture scope before any masking is configured? How is masking applied -- client-side before transmission or server-side after capture? What is the retention policy for Session Vault recordings and can it be customer-configured? Does Glassbox access session recordings for product improvement or benchmarking? Protections to require: Contractual commitment that masking is applied before data leaves the client browser. Maximum retention limits for Session Vault. Right to audit the scope of automatic capture. Data portability and deletion guarantees. Indemnification for PII exposure resulting from gaps between automatic capture and masking configuration.
IOC Manifest
Indicators of compromise across 3 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
129 detection signatures across scripts, domains, cookies, and network endpoints