ShieldLabs

Fraud detection and prevention software helps digital products identify risky traffic and abusive account activity. ShieldLabs combines device, browser, operating-system, IP, and network signals to assess visits and surface ready-made detections. ShieldLabs also scores traffic quality and makes results available in the dashboard, API, and webhooks.

Fraud and abuse detection covers masked connections, automated traffic, and suspicious account activity. ShieldLabs detects VPNs, proxies, Tor, Apple Private Relay, anti-detect browsers, browser automation, bots, AI agents, and risk signals such as operating-system and timezone mismatches. ShieldLabs also detects multi-accounting, account sharing, account takeover, and impossible travel as ready-made High-Risk Events.

Traffic risk assessment combines more than 300 signals from the device, browser, operating system, IP address, and network. Each detected risk signal is returned by name, and a Risk Score summarizes the visit on a 0–100 scale. ShieldLabs reports 99.9% identification accuracy and 99.9% risk signal detection accuracy. The score remains explainable through the signals that contributed to it.

Multi-accounting is when one person operates multiple accounts on a product. ShieldLabs detects multi-accounting by correlating account activity with visitor, device, and network context, including activity across different email addresses. The default detection threshold is three accounts per visitor and can be adjusted in the dashboard. The result is a multi-accounting finding, not a report of linked registrations.

Bot detection identifies automated traffic, including browser automation and AI agents, and helps distinguish useful bots from abusive automation. ShieldLabs returns bot and AI traffic signals alongside device and network context, so a product can assess whether the visit is relevant to its own fraud and abuse workflow.

ShieldLabs offers 5,000 free identifications, with no credit card required. The free tier lets you integrate the product and review detection results before choosing a paid plan. Start Free from the ShieldLabs site to create an account and connect your product.

A Risk Score is a 0–100 assessment of risk for a visit. Its three ranges are Trusted (0–29), Suspicious (30–59), and Dangerous (60–100). The score is accompanied by the detected signals and their weights. ShieldLabs keeps the Risk Score separate from High-Risk Event confidence: one is a score, while the other describes confidence in a specific detected event.

High-Risk Events are ready-made detections for multi-accounting, account sharing, impossible travel, and account takeover. Each event has a Medium or High confidence level. ShieldLabs returns these findings separately from the Risk Score, so a high event confidence is not a Risk Score band and does not replace the score.

Account-sharing detection identifies an account used from multiple devices. The default threshold is four devices per account, and the threshold can be adjusted in the dashboard. ShieldLabs returns an account-sharing finding with Medium or High confidence when the activity meets the configured rule.

VPN, proxy, and Tor detection identifies common forms of masked or anonymized network traffic. ShieldLabs also detects Apple Private Relay and browser-level VPN or proxy evidence. These detections appear as named risk signals, giving teams context for a visit without treating every privacy-conscious user as abusive.