Bad actors get banned, then come back with fresh fingerprints.
Teams catch some through device and IP signals, but the
sophisticated ones have already built around those checks.
Your tools can tell you a device showed up. They can't
tell you who is behind it.
The identity behind the account exists across the entire
internet, and that's where we look.
Traditional Tools
Limited signals inside your platform
IP address
Device fingerprint
Email (surface)
On-platform behavior
Surface signals
With
Identify signals beyond your platform
Aliases
Darkweb
Archived / Deleted content
Cross-platform handle patterns
Banned accounts
From one identifier to the whole picture.
Identifier received
Researching sources
Profile complete
What Trust & Safety teams use us for
Vantage Exim
Company profile
KYB
Registry
Companies House
RunningFound
Website
Web presence
RunningNo Signal
Team
LinkedIn / social
RunningNo Signal
News
Press mentions
RunningNo Signal
Financial crime & KYC/KYB
A profile passes your KYB checks but the business has no web presence, no employees on LinkedIn, no digital trail beyond the registry filing. Our agents score how much corroborating evidence exists for a stated identity. Thin profile? That's the signal. We map beneficial ownership, connected entities, and shell company clusters across sources formal databases don't capture.
Marketplace
Dark web
Complaints
Watchlists
Threats
Past aliases
@quick_deals_99
Seller profile
Marketplace risk & seller integrity
A seller listing counterfeit products often operates on multiple platforms under similar handles. Our agents cross reference a seller's identity across marketplaces, forums, and complaint threads to surface history your platform alone can't see. When they come back under a new name, our agents link the new account back to the same operator.
LinkedIn
University
GitHub
Press
Marcus Lee
Backend Engineer · claimed
Verified
Workforce integrity & verification
A candidate or contractor submits credentials your team can't fully verify. Our agents trace their identity across professional platforms, public records, academic archives, and the open web to confirm the person is who they say they are. Fake degrees, fabricated work history, and synthetic identities surface when there's no corroborating evidence behind the claim.
@new_user_42
New account · today
alias: rk_trades
Username match
Banned · 2023
Enforcement action
Device · VPN
Shared fingerprint
Forum account
Activity match
Shared behavior
Similar patterns
Same operator
High confidence
Platform abuse & trust and safety
A banned user comes back on a new device with a VPN and a fresh account. Our agents take one identifier and trace every connected alias, dark web record, and platform presence to link them back to the same person. For coordinated abuse, they map the network of accounts that share principals, overlapping activity, and structural patterns.
They track devices. We track the person across everywhere.
Traditional fraud tools capture what happens on your
platform: device fingerprints, IP addresses, behavioral patterns, payment signals.
They're good at catching known bad actors from a shared signal network. But they
can't tell you if "Julian Wong" is actually Julian Wong.
Traditional Tools
Tracks devices and IPson your platform
Catches known bad actorsfrom shared signal networks