Detailed Risk Scoring for Every Visit

The ShieldLabs risk score is a single 0-100 number assigned to every visitor, summarizing how anonymous or evasive the visit looks based on the risk signals that fired. The number: a higher score means more risk signals fired, and every score falls into one of three bands: Trusted (0-29), Suspicious (30-59), or Dangerous (60-100); The Details: every score arrives with the full list of signals that shaped it, so the result is explainable, not a black box; The identity: each score is tied to a persistent identifier, so it stays consistent across a visitor's past and future visits. ShieldLabs returns the risk score on the very first visit, so you can act on it in real time without building your own scoring model.

The risk score is calculated by combining every risk signal that fires on a visit into one weighted 0-100 result, so stronger evidence of evasion produces a higher score. Signals fire: 300+ signals are evaluated on each visit across device, OS, browser, network, and IP layers, including VPN, proxy, Tor, and anti-detect browser indicators; Cross-layer mismatches stack: inconsistencies between what the browser claims and what the connection reveals become signals of their own; Weights combine: strong risk signals move the score the most, softer ones add up in combination. The total is capped at 100. ShieldLabs delivers the score with its full Details list, so you always see which signals produced the result rather than trusting an opaque number.

Every 0-100 score falls into one of three bands, so the result is ready to use out of the box. Trusted (0-29): a visit with no meaningful risk; Suspicious (30-59): a visit worth a closer look; Dangerous (60-100): a visit with strong evidence of masking or evasion. ShieldLabs returns the score, its band, and the Details list with every visit, so you can choose the action for each case and act on the result in your backend.

ShieldLabs flags high-risk visitors on every visit and helps block fraudulent and abusive traffic, and you choose the action for each case. What ShieldLabs returns: the risk score, its band, the Details list of contributing signals, and the scoring reasoning; What you choose: allow, challenge, review, or block for each case; Why it works this way: the right action depends on the context of the user action in your product. ShieldLabs stops fraud and abuse with detection that is ready out of the box, with no rule setup.

Yes, risk scoring works without cookies because it runs on the same cookieless visitor identification layer that powers the score. Persistent identifier: visitors are recognized by device, browser, and network signals rather than cookie storage; Survives evasion: the score holds steady through IP rotation, cleared cookies, and incognito mode; Privacy-aware setups: it keeps working under privacy-focused browsers and Private Relay. ShieldLabs returns a consistent risk score on the first visit, backed by 99.9% identification accuracy and 99.9% risk signal detection accuracy, with no cookie consent banner or local storage required.