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Alternatives
Protect Product / Field guide
#
Fraud detection alternatives by use case
The complete shortlist, from account-level platforms and mobile identity to bot mitigation and specialist lookups.
Use the scorecard to narrow a shortlist, then test candidates on the same traffic.
The complete index
##
Twenty reviewed products
Order and scores follow the published Protect Product rubric. Reviews explain best fit and material limits.
01 / 20 · 9.7/10
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ShieldLabs
A strong fit for teams that want identification, network risk, ready account-abuse detections and traffic-quality analytics together, with self-serve integration, API access and webhooks.
[Read review ↗](/reviews/shieldlabs/)
02 / 20 · 9.3/10
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Fingerprint
Best fit when recognizing a returning device is the primary job and native mobile SDKs matter.
[Read review ↗](/reviews/fingerprint/)
03 / 20 · 9.2/10
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Castle
Best fit for teams securing signup and login flows with API-led decisioning.
[Read review ↗](/reviews/castle/)
04 / 20 · 9.0/10
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SEON
Best fit for risk teams that want to define and maintain their own rules and investigation workflow.
[Read review ↗](/reviews/seon/)
05 / 20 · 8.8/10
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DataDome
Best fit when bot traffic and automated requests are the dominant operational problem.
[Read review ↗](/reviews/datadome/)
06 / 20 · 8.7/10
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Verisoul
Best fit when linked accounts and repeated actors matter more than a single isolated event.
[Read review ↗](/reviews/verisoul/)
07 / 20 · 8.6/10
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Rupt
Best fit for subscription and account teams that need a scored evaluation at a meaningful action.
[Read review ↗](/reviews/rupt/)
08 / 20 · 8.5/10
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Sift
Best fit for organizations running several fraud programs and an established risk-operations team.
[Read review ↗](/reviews/sift/)
09 / 20 · 8.4/10
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Sardine
Best fit for fintech or payments teams evaluating a broad risk platform.
[Read review ↗](/reviews/sardine/)
10 / 20 · 8.2/10
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Stytch
Best fit when the identity stack is already being built around Stytch.
[Read review ↗](/reviews/stytch/)
11 / 20 · 8.1/10
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HUMAN Security
Best fit for large properties with bot operations, response policies and edge deployment needs.
[Read review ↗](/reviews/human-security/)
12 / 20 · 8.0/10
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TrustDecision
Best fit for teams assembling several identity and fraud signals into a decision workflow.
[Read review ↗](/reviews/trustdecision/)
13 / 20 · 7.8/10
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Trueguard
Best fit for smaller teams seeking a low public entry price and multiple basic risk signals.
[Read review ↗](/reviews/trueguard/)
14 / 20 · 7.8/10
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Kasada
Best fit when bot mitigation and repeated account abuse need a managed rollout.
[Read review ↗](/reviews/kasada/)
15 / 20 · 7.7/10
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IPQualityScore
Best fit when a team needs a targeted enrichment lookup or several separate identity checks.
[Read review ↗](/reviews/ipqualityscore/)
16 / 20 · 7.6/10
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Arkose Labs
Best fit for high-value flows where a challenge is an acceptable response to suspected abuse.
[Read review ↗](/reviews/arkose-labs/)
17 / 20 · 7.5/10
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Incognia
Best fit for app-led journeys where mobile location and device context are central.
[Read review ↗](/reviews/incognia/)
18 / 20 · 7.3/10
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Maskbreak
Best fit for teams evaluating browser and network risk with a free monthly allowance.
[Read review ↗](/reviews/maskbreak/)
19 / 20 · 7.2/10
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SHIELD
Best fit for mobile-first businesses that need device intelligence against fake accounts and account takeover.
[Read review ↗](/reviews/shield/)
20 / 20 · 7.0/10
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ThumbmarkJS
Best fit for developer teams that want browser identity as a building block.
[Read review ↗](/reviews/thumbmarkjs/)
##
How to shortlist
For web account abuse, begin with products that link users and devices across sessions. For native mobile journeys, prioritize an up-to-date SDK and test device and location permission behavior. For traffic floods and scraping, evaluate an edge or bot mitigation product. For a narrow enrichment task, an IP or browser API may be enough. Then use the
[parallel test plan](/guides/parallel-fraud-tool-test/)
to compare outcomes and total costs.