POST /referral/claimBlockedEmulator farm claiming referral rewards
- Emulated device, not a phone
- Same actor as 9 other accounts
- Mobile proxy exit IP
Comparison
SHIELD is a device-first fraud intelligence platform that gives each physical device a persistent ID and flags tools such as emulators, app cloners, GPS spoofers, VPNs, proxies and bots. Kavra assesses every request across network, device, browser and behavior, and returns a plain-language finding with a recommended action your backend applies.
POST /referral/claimBlockedEmulator farm claiming referral rewards
SHIELD calls itself a device-first fraud intelligence platform for web and mobile apps. Its core is SHIELD Device ID, which SHIELD says stays persistent across sessions, app reinstalls, factory resets and tampering, and in incognito mode, so fraudulent activity ties back to the same physical device. Trusted devices can then skip re-verification, one-time passwords and CAPTCHAs.
On top of the ID, SHIELD returns 20+ risk indicators that flag fraud tools and techniques, including emulators, app cloners, GPS spoofers, VPNs, proxies and bots. SHIELD Sentinel, its always-on session monitoring, profiles the whole device session so it can catch the moment a trusted user switches on an app cloner, GPS spoofer or screen-sharing tool mid-session. SHIELD also describes cluster analysis that links shared devices to expose fraud networks, behavioral biometrics, location intelligence and configurable risk thresholds with trust scores.
SHIELD ships iOS and Android SDKs, JavaScript for web and support for Unity, React Native, Flutter and Cordova. It markets to ride-hailing, fintech, digital banking, e-commerce, social media, gaming, iGaming and crypto platforms, and says no personally identifiable information is needed to start.
SHIELD is built around recognizing the device. Kavra is built around deciding what to do with the request. Each Kavra assessment has a plain-language headline, the findings behind it, risk by domain (automation, impersonation, network, tampering, abuse), network context and a recommended action: allow, verify or block. Your backend applies it. Kavra never blocks on its own.
Kavra analyzes 3,000+ data points per visit and looks for contradictions between layers. It recognizes returning devices across visits and links one actor behind many accounts, and when a device changes its fingerprint, Kavra keeps it as one actor with N rotations. The main differences show up on the web and on the network side.
Both products detect spoofed devices without friction for real users. They put the weight in different places.
| Kavra | SHIELD | |
|---|---|---|
| Main output | Headline, findings, domain risk, recommended action | Persistent device ID, risk indicators and trust scores |
| Center of gravity | Web, app and API requests, with network evidence | Mobile apps and web, device-first |
| Device recognition | Returning devices recognized; rotation kept as one actor | Device ID persistent across reinstalls, factory resets and tampering, per SHIELD |
| Emulators, VMs, device farms | Detected by contradictions between claimed and observed environment | Emulator detection among the risk indicators; device clusters linked |
| App cloners and GPS spoofing | Not dedicated signals; spoofed devices and emulators are covered | Core risk indicators, plus mid-session monitoring |
| Browser automation | Automation frameworks, stealth plugins, headless browsers, HTTP clients | Bots among the risk indicators; web methods not publicly detailed |
| Proxy intelligence | Own measurement of commercial proxy exit IPs plus 30+ feeds | VPN and proxy risk indicators |
| Verified AI agents and crawlers | Recognized by signatures and published IP ranges | Not publicly documented |
| SDKs | One web script, native iOS and Android SDKs, server-side API | iOS, Android, JavaScript, Unity, React Native, Flutter, Cordova |
| Identity data you must send | None; technical signals only, legal basis applied per visitor region | No PII needed to start; GDPR compliance stated |
SHIELD's focus on mobile devices makes it a natural choice for some teams.
The two can work side by side. An app-first business can keep a mobile device ID for in-app tampering signals and use Kavra on its website, login and API endpoints, where browser automation and proxy traffic arrive. Kavra's native iOS and Android SDKs also cover apps when you want one explained verdict across every channel.
SHIELD is a trademark of its respective owner. This comparison is based on public information as of September 2026 and may change. Kavra Lab is not affiliated with SHIELD.
How Kavra helps
One script and one API call, and every request comes back explained.
Headline, findings, domain risk and a recommended action on every assessment.
Automation frameworks, stealth plugins and fake browsers exposed across layers.
Commercial residential and mobile proxy exits measured continuously.
A device that changes its fingerprint is tracked as one actor with N rotations.
Kavra recommends and never blocks on its own. Start in observe-only mode.
FAQ
Something else? Talk to our team.
SHIELD is a device-first fraud intelligence platform. It assigns each physical device a persistent ID that, according to SHIELD, survives reinstalls, factory resets and tampering, and it flags fraud tools such as emulators, app cloners, GPS spoofers, VPNs, proxies and bots through 20+ risk indicators. It offers SDKs for mobile, web and game engines.
Yes. Kavra detects emulators, virtual machines, device farms and spoofed devices by checking what a device claims against how it actually behaves and connects. It links accounts that share an actor, so a farm of emulated phones claiming referral or signup rewards shows up as one cluster rather than many new users.
No. Kavra starts with one web script and one API call, and also offers native iOS and Android SDKs and a server-side request API for backend and API traffic. The same explained assessment, with findings and a recommended action, comes back whichever channel the request arrived on.
Yes. A common split is to keep a mobile device ID for in-app tampering signals such as app cloners and GPS spoofing, and use Kavra on the website, login and APIs, where browser automation and proxy traffic arrive. Your backend combines both into its own allow, verify or block rules.
Run Kavra on your own traffic in observe-only mode. No risk to your customers, and a clear report of the fraud it finds.