More revenue from real customers
Block abuse rings before they flood the funnel with accounts that will never pay
High-Risk Events
Detect High-Risk Events. Score Every Visit
Detect Multi-accounting, Account sharing, Impossible travel, and Account takeover out of the box, each with Medium or High confidence
Less money lost to abuse and fraud
Catch multi-accounting and promo abuse before they drain margins
Acquisition budget spent on real users
Know which signups are fraudulent before spend is wasted
Growth metrics worth acting on
Separate real signups from fake ones so CAC, LTV, and conversion data reflects reality
Four High-Risk Events, ready out of the box
Ready out of the box
Detect the four most common account-level risks from day one, with no rule setup
Hidden connections, made visible
Link accounts, devices, and visitors so shared, farmed, and hijacked accounts surface directly
Confidence on every event
Each High-Risk Event comes with Medium or High confidence, separate from the Risk Score of each visit
All High-Risk Events, one view
Track events, affected accounts, and confidence over time in the analytics dashboard, API, and webhooks
High-Risk Events · last 7 days · 4 events · 2,941 hits
Multi-accounting
One person running several accounts
Account takeover
Account accessed by someone other than its owner
Impossible travel
Locations too far apart for the time between them
Account sharing
One account used by several people
no events ·12,847medium confidence ·517high confidence ·2,424
From first visit to detected High-Risk Event
01
Persistent identity
Identify users across sessions, even with cleared cookies and rotated IPs
02
Signal collection
Collect 300+ signals across device, browser, OS, IP, and network layers, including risk signals
03
High-Risk Event detection
Link user accounts, visitors, and devices over time to detect Multi-accounting, Account sharing, Impossible travel, and Account takeover
04
Results in the analytics dashboard
Review each High-Risk Event with its confidence, the accounts involved, and full data per event
Stop abuse in any vertical.
SaaS
Stop trial abuse, freemium exploitation, and plan-limit bypass from accounts that will never pay
iGaming
Eliminate bonus abuse, affiliate fraud, and promo multi-accounting before payouts reach fake accounts
E-commerce
Prevent repeat use of sign-up bonuses, vouchers, and first-time-buyer offers across multiple accounts
Fintech
Stop financial account takeover, scammers exploiting signup bonuses, bypassing KYC through multiple accounts, and abusing referral programs
Cryptocurrency and Web3
Defend airdrops and reward campaigns from sybil attacks and coordinated farming rings
Media and Subscriptions
Detect password sharing and credential reselling before revenue bleeds to free riders
See the High-Risk Events in your traffic.
Free 5,000 one-time identifications, with transparent pricing that scales with your needs
Frequently asked questions
High-Risk Events are four detections ShieldLabs runs out of the box across accounts, devices, and visitors: Multi-accounting, Account sharing, Impossible travel, and Account takeover. Multi-accounting: one person running several accounts; Account sharing: one account used by several people or devices; Impossible travel: activity on one account from locations too far apart for the time between them; Account takeover: an account accessed by someone other than its owner. Each event comes with Medium or High confidence and is available in the analytics dashboard, API, and webhooks, ready to use with no rule setup.
A Risk Score rates a single visit; a High-Risk Event describes what is happening to an account across many visits and devices. They are separate axes and work together. Risk Score: a 0-100 rating built from the signals collected on one visit, in three bands, Trusted, Suspicious, and Dangerous; High-Risk Event: one of four account-level detections with Medium or High confidence; Together: the score flags a risky visit in the moment, and the event shows the account-level risk behind it. ShieldLabs shows both side by side in the same analytics dashboard.
Yes. Account takeover is one of the four High-Risk Events ShieldLabs detects directly, including takeovers that follow credential stuffing. Links every login to the devices and locations the account normally uses; Detects access from a new device and a new location that does not fit the owner; Reports the event with Medium or High confidence and the linked account in the analytics dashboard, API, and webhooks. ShieldLabs detects account takeover out of the box, with no custom rules to write.
High-Risk Events appear in real time, as soon as the activity on an account is detected. The first Risk Score is available on the first visit, within roughly 5 minutes of integration. A new visit is scored on arrival; Links between accounts, devices, and visitors update continuously; A detected event shows up immediately with its confidence and the accounts involved. ShieldLabs delivers High-Risk Events to the analytics dashboard, API, and webhooks the moment they are detected, with 99.9% identification accuracy behind them.