Catch fraud early with real-time device intelligence

Boost onboarding security with ComplyCube’s multi-layered device intelligence solution. Detect threats early and prevent successful attacks with device tampering analysis, VPN, bot detection, and geolocation insights.

 

By linking device behaviour with identity and risk signals, ComplyCube helps uncover fraud patterns invisible to traditional checks. Whether it’s a stolen device, emulator, or hidden proxy, our solution flags anomalies in real time, keeping your onboarding flow secure and compliant.

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Stop AI-driven fraud

Use passive device, network, and behavioral signals to block bots, deepfakes, and synthetic identities in real time.

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Shield against attacks

Fingerprint devices and IP addresses to identify spoofing and risky devices while keeping trusted users moving fast.

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Prevent account takeovers

Identify suspicious logins on VPNs, tampered devices and remote access tools to keep legitimate customers in control.

Trusted by big names

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NETWORK DATA INTELLIGENCE

Spot hidden threats in network risk signals

ComplyCube’s device intelligence inspects every session for anomalies in network data, including IP mismatches, proxy use, VPN tunneling, and geolocation tampering. By surfacing threats at the network layer before the user accesses their account, organizations gain a proactive shield that filters out high-risk traffic from the start.

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FRAUD RISK SIGNALING

Detect fraud before onboarding begins

Go beyond basic device fingerprinting with ComplyCube’s layered fraud risk detection. The platform identifies signals like emulator use, account cycling, jailbreaks, and environment spoofing, silently, in session. This enables fraud teams to act earlier in the funnel, decreasing attack success rates, reducing false positives, and lowering reliance on post-KYC remediation.

DEVICE DATA ANALYSIS

Get deep device insights for secure, trusted sign-ups

Every device leaves a footprint. ComplyCube collects holistic runtime data from operating systems and browsers to detect emulators, tampering and spoofing. It also helps distinguish between legitimate users and devices configured to bypass detection or inject attacks. By using a multi-layered approach, organizations gain a deeper, more resilient understanding of user behavior.

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BOT DEFENCE AND DETECTION

Stop automated bot attacks at the source

Bots don’t behave like humans and ComplyCube knows the difference. By analyzing navigation patterns, input behavior, and interaction speed, the platform detects and stops automation tools before they reach signup or ID verification stages. This real-time protection defends against fake account creation, mass testing and replay attacks, all while preserving a seamless experience for legitimate users.

Certified Security for Every Sign-Up

ComplyCube delivers device intelligence with compliance built in. Certified to ISO 27001:2022 and aligned to SOC 2 and NIST frameworks, our solution protects every device risk check with audit-ready encryption, ensuring end-user, claimant, and policyholder data remains secure, from session start to fraud decision.

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Device Intelligence is Compliance's First Line of Defense

Regulators no longer see fraud as a technology problem, but a compliance imperative. With frameworks like NIST and ISO 27001 emphasizing pre-verification controls, and new KYC mandates pushing for earlier risk detection, ComplyCube’s device intelligence provides the proactive signal layer modern compliance teams need.

Running silently in the background, it evaluates each session’s device and network behavior, identifying rooted phones, emulators, session farming, and hidden threats. Every device risk check is logged, encrypted and fully auditable to support compliance reviews, internal risk audits, or regulator oversight. When combined with ComplyCube’s document and biometric flows, it forms a defensible, end-to-end onboarding stack aligned with global trust standards.

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Audit-friendly fraud controls

Log every device risk check with clear, timestamped records from rooted phones to spoofed setups. ComplyCube captures and encrypts signals silently, creating exportable logs for fraud review, QA, or audits without adding operational friction.

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Real-time threat outcomes

ComplyCube’s device intelligence flags risk as a session begins, detecting bots, tampering, and session abuse instantly. It blocks fraud early, removes friction for trusted users, and enables real-time decisions across fintech and digital platforms.

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Cross-platform visibility

Deploy device intelligence seamlessly across multiple channels such as iOS, Android, Chrome, Firefox, Safari, and more. Whether via SDK, API, and hosted flow, ComplyCube fits your existing stack and ensures consistent risk detection with no extra dev effort required.

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Enterprise-ready protection

Trusted by global vendors, ComplyCube’s platform delivers encrypted, compliant device intelligence at enterprise scale. With support for ISO 27001, SOC 2, and NIST, it ensures secure signal processing and audit trails with zero trade-offs in performance.

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Generative AI Fraud and Identity Verification

Discover how fraudsters use generative AI to create fake documents and bypass ID checks, and how to stop them. Learn how biometric liveness, NFC, and advanced ID fraud check solutions can protect your onboarding flow from synthetic identities.

Explore Other Solutions

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Phone Intelligence

Confirm phone ownership and detect number spoofing by combining device intelligence with phone checks. Block mismatched or risky mobile signals, such as SIM swaps, VOIP usage, or spoofed environments to stop synthetic fraud before it reaches step-up verification.

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Email Risk Score

Analyze email reputation in context with real-time device signals. ComplyCube flags disposable domains, mismatched metadata, and high-risk patterns linked to session emulators or automation, helping prevent mass account creation and OTP  abuse in the future.

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Biometric Verification

Use biometric identity verification only when needed by layering biometric checks with passive device intelligence. Flag risky sessions, such as spoofed phones or jailbroken devices and escalate to face match when risk appears, reducing friction for trusted users.

Frequently asked questions

Device intelligence is a security measure that monitors the technical and behavioral traits of a user’s device and network in real time. It passively collects data like IP integrity, device fingerprint, OS configuration, and emulator detection the moment a session starts, all without interrupting the user. This intelligence is used to spot fraud tactics such as device spoofing, session farming, bot automation, and VPN obfuscation. By identifying these signs early, organizations can block high-risk access before a user ever interacts with your platform, keeping fraud out without adding friction.

Regulators and industry bodies across the UK, US, and EU increasingly expect businesses to take a proactive stance on fraud detection. In the UK, the FCA highlights the need to identify unusual access patterns and malicious behavior at login. In the EU, GDPR-compliant fraud tools must operate passively, and in the US, NIST’s Digital Identity Guidelines emphasize device-level risk signals as part of trust frameworks. Device intelligence helps meet these expectations. It flags potential threats early, such as tampered phones or cloaked IP addresses before they evolve into costly fraud events. This early intervention is especially valuable in high-volume digital environments where speed, scale, and compliance are critical.

False positive, where genuine users are flagged due to overly aggressive rules, can cause drop-offs, wasted analyst time, and reputational damage. Device intelligence reduces these by applying context to each risk decision. It assesses whether the device and network behavior is normal for that user, even if it is technically unusual. Instead of triggering alerts for every new device or location, intelligent models assess signals such as returning device IDs, behavioral rhythm, or passive trust markers. This approach cuts unnecessary friction while maintaining high fraud detection accuracy, helping businesses act decisively on true threats without delaying legitimate customers.

Yes, ComplyCube’s device intelligence is built to plug into any existing fraud stack. It’s deployable via API, mobile SDKs, or no-code modules, and works seamlessly across desktop, mobile and hybrid apps. This makes it ideal for scaling fraud protection across diverse customer touchpoints. It doesn’t require new workflows or added steps for your users. Instead, it runs silently in the background, augmenting existing tools like email risk detection, phone number validation, or behavioral analytics. This allows fraud teams to spot layered threats, close detection gaps, and scale early warning signals without starting from scratch.

ComplyCube’s device intelligence engine offers a high-fidelity, low-friction way to identify hidden threats before they escalate. It goes beyond surface-level checks to uncover emulators, session manipulation, root-level tampering, and bot-driven abuse in real-time. Every device risk check is logged, encrypted, and audit-ready for internal reviews, fraud case management or external oversight. ComplyCube ensures fraud prevention doesn’t come at the cost of privacy or compliance. It’s trusted by enterprises and scale-ups alike to keep threats out, and trusted users flowing.