Comparison

SHIELD alternative: explained decisions for web, apps and APIs

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/claimBlocked

Emulator farm claiming referral rewards

  • Emulated device, not a phone
  • Same actor as 9 other accounts
  • Mobile proxy exit IP
Risk95
Your actionHold the referral payout
Kavra approach
Explained assessment and recommended action per request
SHIELD approach
Persistent device ID plus 20+ risk indicators, mobile-first
Visitor friction
Both run invisibly; trusted devices can skip challenges
Best for
Kavra: web, bots and proxies. SHIELD: deep mobile app tampering

What SHIELD does

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.

How Kavra approaches the problem differently

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.

  • Browser automation and fake browsers. Playwright, Puppeteer, Selenium, stealth plugins, headless Chrome and HTTP clients imitating browsers, caught across layers. See headless browsers.
  • The real connection. Kavra's own edge network sees how a visitor actually connects, not only what the page or app reports.
  • Own proxy intelligence. Real exit IPs of commercial residential and mobile proxy networks, measured continuously, on top of 30+ public reputation feeds.
  • Verified good bots and AI agents. Search crawlers and AI agents are verified by cryptographic signatures and published IP ranges, so you can allow them on purpose.
  • API and backend traffic. A server-side request API assesses calls that never load a page.

Kavra vs SHIELD: capability comparison

Both products detect spoofed devices without friction for real users. They put the weight in different places.

KavraSHIELD
Main outputHeadline, findings, domain risk, recommended actionPersistent device ID, risk indicators and trust scores
Center of gravityWeb, app and API requests, with network evidenceMobile apps and web, device-first
Device recognitionReturning devices recognized; rotation kept as one actorDevice ID persistent across reinstalls, factory resets and tampering, per SHIELD
Emulators, VMs, device farmsDetected by contradictions between claimed and observed environmentEmulator detection among the risk indicators; device clusters linked
App cloners and GPS spoofingNot dedicated signals; spoofed devices and emulators are coveredCore risk indicators, plus mid-session monitoring
Browser automationAutomation frameworks, stealth plugins, headless browsers, HTTP clientsBots among the risk indicators; web methods not publicly detailed
Proxy intelligenceOwn measurement of commercial proxy exit IPs plus 30+ feedsVPN and proxy risk indicators
Verified AI agents and crawlersRecognized by signatures and published IP rangesNot publicly documented
SDKsOne web script, native iOS and Android SDKs, server-side APIiOS, Android, JavaScript, Unity, React Native, Flutter, Cordova
Identity data you must sendNone; technical signals only, legal basis applied per visitor regionNo PII needed to start; GDPR compliance stated

When SHIELD may be the better fit

SHIELD's focus on mobile devices makes it a natural choice for some teams.

  • Your product is mainly a mobile app, such as ride-hailing or mobile gaming, and most fraud happens inside the app.
  • You need dedicated detection of app cloners, GPS spoofers and screen-sharing tools, including when they are switched on mid-session.
  • You build games in Unity and want an engine plugin, or you ship with Cordova.
  • Your fraud model mainly needs a device ID that survives factory resets as its key, with your own team writing the rules.
  • Location truth matters a lot, for example driver or rider location on a ride-hailing platform.

When Kavra is the better fit

  • Much of your traffic and fraud is on the web: signups, logins, checkouts, bonus claims and public APIs.
  • You face browser automation: credential stuffing, scalping, scraping or scripted signups.
  • Operators hide behind residential and mobile proxies and you want them recognized for what they are.
  • You want each decision explained in plain words for analysts, support and customer appeals.
  • You want to allow verified AI agents and search crawlers while stopping unverified ones.

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.

Device ID first vs decision first

Decision-first (Kavra)

  • What is on the other end: person, bot, AI agent or disguised tool
  • What gave it away, in plain language
  • Allow, verify or block, with presets to tune
  • Observe-only mode before anything is blocked

Device-first (SHIELD)

  • Which physical device this is, over time
  • Which fraud tools are active on it
  • Trust scores and thresholds to configure
  • Signals that feed your own risk engine

Sources

  1. SHIELD: home page
  2. SHIELD: device fingerprinting for mobile apps and websites
  3. SHIELD: platform AI info

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

Why teams choose Kavra

One script and one API call, and every request comes back explained.

  • Explained decisions

    Headline, findings, domain risk and a recommended action on every assessment.

  • Browser automation caught

    Automation frameworks, stealth plugins and fake browsers exposed across layers.

  • Own proxy intelligence

    Commercial residential and mobile proxy exits measured continuously.

  • Rotation stays one actor

    A device that changes its fingerprint is tracked as one actor with N rotations.

  • Your backend decides

    Kavra recommends and never blocks on its own. Start in observe-only mode.

FAQ

Frequently asked questions

Something else? Talk to our team.

What is SHIELD device intelligence?

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.

Does Kavra detect emulators and device farms like SHIELD?

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.

Is Kavra only for websites?

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.

Can I use SHIELD and Kavra together?

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.

See who is really on your site.

Run Kavra on your own traffic in observe-only mode. No risk to your customers, and a clear report of the fraud it finds.