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Vektor

Instant digital footprint intelligence for fraud and trust teams

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Trust and safety analysts lose over 15 hours every week manually cross-referencing suspicious handles across hundreds of isolated web services to triage fraud and impersonation risks.

Vektor consolidates cross-web identity signals into a unified intelligence graph using automated scan vectors across 450+ platforms with zero manual search effort. Fraud and compliance teams get instant risk scores, historical alias correlations, and actionable digital footprint summaries directly within their case management systems. This reduces investigation cycle times by 85% while cutting synthetic identity fraud losses before bad actors can exploit platform trust.

Vektor is building the autonomous identity verification layer for the next generation of online marketplaces, fintechs, and executive security teams.

COMMENTS — Community Discussion
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#Cyber#Fraud#Ops#Legal
Problem
  • When I triage flagged accounts during user onboarding, I want to verify their external digital history, but manual searching across dozens of forums and networks wastes 45 minutes per incident and allows fraudsters to slip through.
  • Why Now: Synthetic identity theft and bot-driven multi-accounting surged by 42% this year, making single-point email verification insufficient against coordinated fraud networks.
  • When I investigate high-risk executive impersonation or harassment reports, I want to map the perpetrator's alias footprint across the web, but fragmented OSINT tools require technical scripting and break constantly under rate limits.
  • When I conduct compliance and vendor due diligence, I want to ensure third-party contractors have legitimate public footprints, but existing enterprise background checks take 3 days and cost over $75 per search.
  • Existing Alternatives: Open-source command-line scripts like User-Scanner or Sherlock, manual Google dorking, expensive legacy threat intel feeds like Recorded Future, and slow manual analyst reviews.
Solution
  • High-Level Concept: Vektor is the automated digital footprint intelligence platform for enterprise risk, trust, and safety teams.
  • Instant 450+ vector surface scanner that correlates emails, usernames, and cryptographic aliases across social networks, developer hubs, and niche communities.
  • Entity graph resolution that maps correlated aliases, domain associations, and account creation chronologies into a single visual dossier.
  • Webhook and REST API integration with modern risk orchestration engines like Persona, Sardine, and Alloy for automated risk scoring.
Distribution
  • Early Adopters: Trust & Safety Managers and Fraud Operations Leads at mid-market fintechs, gig-economy marketplaces, and online gaming platforms with 50k+ monthly active signups.
  • Direct outreach to Fraud and Risk Directors via specialized community groups like Trusty and Merchant Risk Council (MRC).
  • Self-serve interactive web utility allowing security analysts to run 5 free scan lookups per month to generate bottoms-up developer-led adoption.
  • Co-marketing and technology integration partnerships with case management platforms and identity orchestration providers.
Pricing
  • Value Ladder: Free Tier (5 searches/mo)
  • Professional ($199/mo for 500 automated searches and exportable PDF dossiers)
  • Enterprise ($1.5k/mo base + $0.20 per API vector query with custom webhooks and SSO).
  • One Metric That Matters: Monthly Active Monitored Entities (MAME) resolved through automated scans.
  • Market Sizing: SAM is 12k mid-market tech companies needing fraud and risk enrichment; capturing 1% in Year 1 at $12k ACV yields $1.44M ARR.
Scale Costs
  • Residential and mobile proxy infrastructure rotating across global regions to maintain reliable scan execution without rate limiting ($15k/mo at scale).
  • Continuous scraper maintenance and automated schema regression tests to patch broken target endpoints within 4 hours.
  • SOC2 Type 2 compliance, strict GDPR/CCPA data minimization pipelines, and encrypted cold-storage logs for enterprise auditability.
Expert Opinions
Avg: 9.3
  • former Head of Trust and Safety at Tier-1 Marketplace
    9.4
  • Principal Risk Architect in FinTech Fraud Prevention
    9.1
  • Partner at Cyber & Enterprise Security Venture Fund
    9.3
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