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Democratizing Mobile Attack and Threat Data to Defeat Fraud
Threat and risk data is critical to combating mobile fraud. Everyone knows that. The more important challenge has been “when,” “where” or “how” to leverage this data to defeat…
Use one unified platform to build, test, monitor and respond with mobile fraud detection features in Android & iOS apps inside the DevOps CI/CD pipeline. Protect mobile app, user, program and transaction integrity and stop fraud in mobile apps. Deliver comprehensive, in-app, protection against mobile fraud, spyware, accessibility service abuse and ATS malware, auto tapping, keystroke injection and other non-human methods to generate fake events, fake accounts, fake transactions with ease. Certify mobile anti-fraud compliance build-by-build without any burden on the mobile engineering team. All CI/CD pipelines. No code, No SDKs, No servers required.
Mobile developers have enough on their plate. With Appdome, brands deliver comprehensive mobile fraud prevention with less work, using automation to build, test, release and monitor mobile anti-fraud in Android & iOS apps. Gain continuous anti-fraud compliance, with less cost and complexity today.
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When mobile fraudsters and fraud attacks happen in your Android & iOS apps, Appdome's Threat-Events™ intelligence framework delivers rich data and telemetry to your mobile application so you stay in control of the brand experience, gather threat intelligence, stop fraud, and help users with remediation fast.
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With ThreatScope™ Mobile XDR, you gain resilience, prove the value of the mobile anti-fraud features in your Android & iOS apps, keep track of new and emerging cyber security threats across 300+ attack vectors, and respond to any attack impacting your mobile app, brand or business automatically.
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We’re mobile developers too. We built Appdome to make it easy on mobile developers to maintain agility and continuously deliver mobile fraud features in Android & iOS apps built in any coding language or framework including Obj-C, C+, Java, JS, C#, C++, Swift, Kotlin, Flutter, React Native, Unity, Maui, Xamarin, and more. Plugins and APIs are out-of-the-box ready for all parts of the mobile DevOps ecosystem. Contact us to start making mobile fraud prevention easy!
With Appdome's Synthetic Fraud Defense, brands can maintain the integrity of in-app purchases, promotions workflows. Synthetic fraud, and synthetic ID fraud, are automated techniques attackers use to create fake inputs, actions and users in Android & iOS apps. Detect automated, virtual or emulated environments, auto clickers, auto tapping, keystroke injection, process injections and hacking tools used to impersonate users, open fake accounts, abuse loyalty and referral programs and/or input fake reviews with ease. With Appdome, control what, when and how to enforce these defenses.
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Appdome's Mobile Anti-Spyware feature set detects and defends mobile apps against spyware, ATS Malware, Accessibility Service Malware, keylogging, overlay attacks, clipboard attacks, and mobile apps with screen capture, screen mirroring and remote desktop capabilities from interacting with Android & iOS apps. Stop PII harvesting, MITRE input capture attacks, plist harvesting. Protect user credentials, PII, credit card and other data used in identity fraud, synthetic identity fraud, ATOs, and other attacks. Control what, when and how to enforce defenses.
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Vishing, short for "voice phishing," is a type of social engineering attack. Attackers use phone calls to deceive mobile customers into revealing sensitive information, or to manipulate users into taking certain actions inside the mobile app. Appdome offers two powerful defenses to Vishing attacks. The first is anti-RDC (Remote Desktop Control). The other is Simultaneous Activities which detects when users are in an active session in the mobile app while (after) they've initiated a mobile call. Appdome provides mobile brands full data and control on what, when and how to enforce these defenses..
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Appdome's Mobile Geo Compliance feature set allow brands to trust the mobile device location for Know Your Customer (KYC) compliance, transaction integrity, anti-fraud and in-app offers and promotions. Quickly identifying at-risk transactions, profile fraud risk, geo-fencing offers, and ensure user identity. With Appdome, mobile brands can detect Geo-spoofing, location-spoofing, Fake GPS apps, use of VPNs, teleportation and other attacks that undermine device location integrity. Gain full data and control on what, when and how to enforce these defenses.
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With Appdome's Prevent Auto-Clicking feature, mobile brands can detect when on-device auto clicker apps, including automatic tap, click assistants, and other auto clicking apps, are interacting with the protected Android and iOS mobile app's buttons, links, ads, videos, fields and similar UI elements. Stop fake events, fake actions, prevent reward program abuse, referral program abuse, pay-per-click fraud, sneaker bots, and similar methods that fraudsters use in to gain unfair advantage and commit fraud. Appdome provides mobile brands full data and control on what, when and how to enforce these defenses.
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Appdome's Block App Overlay Attacks feature detects and defends mobile apps from all forms of overlay attacks. Overlay attacks have become the go-to method of mobile fraud, Account Take Overs (ATOs), credential theft, and password harvesting. In an overlay attack, the attacker uses a transparent field or screen (or fake version of the real screen) and places it over the legitimate app entry field, login page, sign up page, transaction, check out or other part of the mobile app. In this way, mobile end users are tricked into interacting with the attacker's overlay. Control on what, when and how to enforce these defenses.
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Appdome's Threat-Score™ empowers mobile brands with attack-specific fraud risk profiles in their mobile app. Threat-Scores are generated and passed to the mobile application when attacks occur, without any server call out. They can be linked to specific Android & iOS events, and customer userID, sessionID and DeviceID. Threat-Score's fraud risk profiling is used to identify at-risk transactions, reduce or eliminate chargebacks, and customer support expenses. Threat-Scores are also used to design attack-specific fraud responses in the mobile app itself, to reduce mobile fraud exposure and improve consumer trust.
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If you're looking for better anti-fraud data, Appdome's ThreatScope™ provides real-time, detailed mobile fraud attack data from the mobile app, including attack type, geo-source and ThreatScore™ for each event as well as meta data about the impacted device, such as device make, model, DeviceID, Android & iOS version and more. With ThreatScopre, you know exactly what, when, where and how the mobile fraud attack was attempted in your mobile app, whether existing defenses worked to stop the attack, and what new defenses should be deployed to further minimize mobile fraud in your mobile apps.
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With Appdome Threat-Events™, mobile developers and brands can stay in full control of the mobile end user experience when mobile fraud attacks happen. Appdome's Threat-Event in-app intelligence and control framework detects the mobile fraud in the app without any server or call-out and passes enriched Threat-Event data to the business logic of the mobile app for threat response. Build custom threat response, enforcement and user notification workflows that delight mobile end users when mobile fraud occurs.
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Appdome automates the work out of Mobile Fraud Prevention so your engineering team can focus on what they do best - building great mobile apps. Let's face it, delivering continuous Mobile Fraud prevention is extremely hard. SDKs, Wrappers and CLIs promise to make it "easier." But actually making these products fit inside your changing Android & iOS apps and your highly dynamic DevOps process is too hard, complex and time consuming. If you're looking for a better way to deliver Mobile Fraud Prevention, try Appdome.
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Get a price quote and start saving money on mobile fraud prevention today. Appdome’s mobile anti-fraud solution helps mobile brands save $millions of dollars by avoiding unnecessary SDKs, server-side deployments, engineering work, support complexity, code changes and more.
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