The fraud software index · 2026
Compare 20 tools by account protection, device intelligence, bot defense, free access and real entry price. The scorecard makes trade-offs visible before you run your own test.
The list includes products that solve different parts of fraud prevention. Choose a category before comparing price.
Device and visitor IDs connect sessions, IP changes and account activity.
Risk scores and linked-account patterns help teams investigate suspicious users.
Edge, policy and challenge systems intervene when automated traffic is costly.
ShieldLabs brings these layers together: recognize returners, detect account abuse and assess bot, AI and network risk, with results in the dashboard, API and webhooks. Explore our Editor’s Choice →
Scores follow the published 22-criterion editorial rubric. Prices and free allowances use different billing units; vendor pages are linked in each review.
| Rank | Tool | Focus | Free access | Entry price | Score |
|---|---|---|---|---|---|
| 01 |  ShieldLabs Editor's Choice | Fraud detection and prevention | 5,000 free identifications | 99 US dollars / month for 25,000 identifications | 9.7 / 10 |
| 02 |  Fingerprint | Visitor identification across web and mobile | Up to 1,000 web and iOS API calls / month | 99 US dollars / month for 20,000 web and iOS API calls | 9.3 / 10 |
| 03 |  Castle | Account security and decision APIs | 1,000 Risk API calls / month, or equivalent IP usage | 200 US dollars / month including 40,000 Risk and Filter requests | 9.2 / 10 |
| 04 |  SEON | Fraud signals and configurable rules | Trial by request | 699 US dollars / month for 2,500 fraud checks | 9.0 / 10 |
| 05 |  DataDome | Bot mitigation and edge protection | Free site scan; no public free plan | 3,830 US dollars / month for Bot Protect | 8.8 / 10 |
| 06 |  Verisoul | Fake accounts and linked identities | Demo-led evaluation | Pricing on request | 8.7 / 10 |
| 07 |  Rupt | Account sharing and fake-account risk | 7-day trial | 199 US dollars / month including 40,000 evaluations | 8.6 / 10 |
| 08 |  Sift | Enterprise fraud platform | No public free plan | Pricing on request | 8.5 / 10 |
| 09 |  Sardine | Fraud, payments and compliance | Demo-led evaluation | Pricing on request | 8.4 / 10 |
| 10 |  Stytch | Device risk inside identity | 10,000 fingerprints included | 0.005 US dollars per extra fingerprint | 8.2 / 10 |
| 11 |  HUMAN Security | Bot and application defense | Contact sales | Pricing on request | 8.1 / 10 |
| 12 |  TrustDecision | Fraud intelligence and decisioning | AWS Marketplace trial may be available | Pricing on request | 8.0 / 10 |
| 13 |  Trueguard | Device and account risk | 1,000 verification events / month | 49.99 US dollars / month for 10,000 verification events | 7.8 / 10 |
| 14 |  Kasada | Automated attack and account defense | Contact sales | Pricing on request | 7.8 / 10 |
| 15 |  IPQualityScore | IP, email and device risk lookups | 1,000 free credits / month | Pricing varies by product; request current plan | 7.7 / 10 |
| 16 |  Arkose Labs | Challenge-based abuse prevention | Contact sales | Pricing on request | 7.6 / 10 |
| 17 |  Incognia | Mobile location and device intelligence | Demo-led evaluation | Pricing on request | 7.5 / 10 |
| 18 |  Maskbreak | Browser and device risk checks | 10,000 visitor checks / month | 29 euros / month for 50,000 visitor checks | 7.3 / 10 |
| 19 |  SHIELD | Mobile device fraud intelligence | Contact sales | Pricing on request | 7.2 / 10 |
| 20 |  ThumbmarkJS | Browser fingerprinting building block | 1,000 API calls / month | 15 euros / month for 15,000 API calls | 7.0 / 10 |
An identification, fraud check, event, lookup and API call are not equivalent. Scores express editorial product fit; they should be read with the full rubric and each review. Baseline pricing review: 21 October 2026. Rupt and Maskbreak plans updated on 23 October 2026; confirm terms before purchase.
Every row above links to a full vendor review. These six are the highest ranked by the published rubric.
Enterprise-level functionality without enterprise pricing. Combines 300+ device and network signals with visitor, user, device and IP context, a 0–100 Risk Score and Trusted, Suspicious or Dangerous verdicts. It detects VPNs, proxies, bots, AI traffic and browser automation, alongside ready-made multi-accounting, account sharing, impossible travel and account takeover detection.
Read review ↗Provides a persistent visitor ID and optional smart signals, with native iOS and Android tooling. Its current pricing page distinguishes web/iOS requests from a much larger Android allowance.
Read review ↗Castle centers account protection around risk and filter requests. Its free and Pro allowances are denominated in API usage, and alternative IP lookup quantities use the same dollar credit.
Read review ↗SEON combines online and device signals with a configurable rules layer and case management options. The public Starter plan states an allowance of fraud checks rather than visitor identifications.
Read review ↗DataDome focuses on protecting application traffic from automated abuse. Bot Protect is a managed mitigation product rather than a visitor identity API.
Read review ↗Verisoul positions its platform around account networks, fake accounts and repeat abuse. Its former pricing URL currently directs buyers to a demo form.
Read review ↗Editor's Choice / ShieldLabs
Our first-ranked tool brings identification, masking and automation signals, account-abuse detections and traffic-quality analytics together. The 9.7/10 score follows our 22-criterion editorial rubric.
ShieldLabs uses device and visitor context to recognize repeat visits after cookie clearing, incognito use or an IP change, and detect linked users with different email addresses.
Cross-checks 300+ signals across the device, browser, OS, IP and network. Named signals cover VPNs, proxies, Tor, Private Relay, anti-detect browsers, bots and browser automation.
Ready detections cover multi-accounting, account sharing, impossible travel and account takeover. A 0–100 Risk Score, Trusted, Suspicious or Dangerous verdicts and the contributing signals explain risk across visitors, users, devices and IPs.
Use the dashboard to investigate visits and connected accounts, or receive results through the API and webhooks. Traffic-quality views show risk by source, channel, referrer and UTM campaign.
Current device and network evidence adds context beyond aging IP blocklists. Ready-made detections connect repeated activity to the relevant visitor and account.
Product facts checked October 23, 2026: ShieldLabs platform · Pricing and API access. Product scope comes from vendor documentation; the ranking is Protect Product's editorial assessment.
Twenty-two criteria add to 100 percent. The leading criteria prioritize usable decisions and account-level detection. The complete list lives in the methodology.
Compare yield, false positives, missing results and cost on the same traffic window.
Read guide ↗Understand the difference between an ID, a risk flag, a score and an account-level result.
Read guide ↗Practical explainers on pricing units, false positives, bot mitigation and mobile SDKs.
Visit blog ↗Inspect the evidence and try a provider demo before evaluating a tool.
Understand browser fingerprinting techniques, including canvas, audio and device signals. Evaluate persistence and privacy without treating a hash as a person.
Read article →
Compare VPN and proxy detection tools by input, signal meaning, platform coverage and false alarms. Evaluate legitimate privacy networks in the test cohort.
Read article →
Understand synthetic identity fraud and the limits of device or IP evidence. Separate identity proofing, authentication and transaction review in a pilot.
Read article →Start with the abuse you need to catch, the surface you protect, and the decision your team must make. Shortlist tools that cover those needs, then compare detection yield, false positives, integration work and cost on the same traffic window.
Look for maintained iOS and Android SDKs, support for your cross-platform framework, and mobile-specific signals. Fingerprint, Incognia and SHIELD are useful starting points for a mobile-first evaluation; test current SDKs in your own app.
No. A free identification allowance differs from a monthly quota. Vendors may count API calls, checks, events or seats, and a trial may expire after a fixed number of days. Normalize each offer to your expected traffic before comparing cost.
Both models appear here. Some return a verdict or account-level detection; others return identifiers, scores or signals that your team must combine with rules. Ask for sample responses and test the operational work behind each option.
Track how many legitimate users are flagged during a representative test. Inspect which signals caused each flag and what recovery path is available. A lower false-positive rate can be more valuable than a slightly higher editorial score.
Often yes for snippet- or SDK-based tools: collect results in parallel without enforcing either verdict. Edge and challenge products may need monitoring mode or a controlled rollout to avoid interfering with user sessions.
ShieldLabs starts with 5,000 free identifications and a 99 US dollar monthly Starter plan. Trueguard has a lower published monthly entry price, while Maskbreak includes 10,000 free visitor checks per month with paid plans from 29 euros, and Thumbmark has a low-cost API plan. These products meter different units and solve different parts of the problem, so compare a workload and required features before choosing.
It brings visitor and device recognition, network intelligence, named risk signals, ready account-abuse detections and traffic-quality analytics into one product. Its first-place 9.7/10 rating is our editorial judgment under the same 22-criterion rubric used for all 20 tools; it is not a measured detection-accuracy result.
Yes. It also detects bots and browser automation, scores visit risk from 0 to 100, and surfaces multi-accounting, account sharing, impossible travel and account takeover. The dashboard adds investigation and traffic-quality views, with results available through APIs and webhooks.
ShieldLabs combines current device and network evidence with visitor and account context rather than relying on an IP blocklist alone. It delivers a risk score and Trusted, Suspicious or Dangerous verdicts, plus ready-made account-abuse detections. Corporate VPNs and privacy relays can serve legitimate customers; a VPN label alone does not establish abuse.
Register for ShieldLabs through our offer link with promo code ShieldLabs19. Eligible new accounts receive 50,000 extra identifications in addition to the standard 5,000, for 55,000 in total. Confirm the bonus in your ShieldLabs account after registration.
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