PayShield combines Runtime Application Self-Protection (RASP), cryptographic device identity, and real-time fraud intelligence into one security platform β stopping mobile fraud before money leaves the system while automatically generating regulator-ready forensic evidence.
Global digital payment fraud losses exceeded $48 billion in 2025 and are projected to surpass $70 billion by 2030 as digital banking and real-time payments expand worldwide.
Over 52% of all digital fraud attacks now originate from mobile devices, targeting banking and fintech apps through malware, overlays, automated bots, and emulator-based attacks.
More than 70% of modern fraud attacks are automated, using bots and device farms to bypass traditional authentication and fraud detection systems.
Most financial institutions still detect fraud days or weeks after transactions occur, because existing tools lack runtime protection and real-time device intelligence.
More than 70% of digital banking transactions now occur on mobile apps, dramatically increasing the attack surface for fraud targeting consumers and financial institutions.
Financial institutions must comply with regulations such as PSD2, PCI DSS 4.0, DPDP, and digital banking security mandates, requiring stronger fraud prevention and verifiable audit trails.
Comprehensive mobile fraud prevention with AI-powered detection and automated compliance
Detects jailbreak, rooting, emulators & cloned apps instantly
Protects app memory & code execution in real-time with <100ms latency
Blocks silicone fingerprints & deepfake face injection
Tracks swiping patterns & navigation speed to spot bots
Auto-generates RBI-compliant audit PDFs for every blocked fraud
SDK integrates into Android/iOS/React Native apps in 2 weeks
102 threats covered - 2x compared to competitors
AI-powered async brain with automated workflows
Unique compliance-ready documentation
| Capability | PayShield | Appdome | Guardsquare | Protectt.ai | OTP / Legacy |
|---|---|---|---|---|---|
| Runtime App Protection (RASP) | β | β | β | β | β |
| App Shielding / Code Hardening | β | β | β | β | β |
| Device Integrity & Runtime Attestation | β | Partial | Partial | β | β |
| Cryptographic Device Identity | β | β | β | Partial | β |
| Hardware-Bound Payload Signing | β | β | β | β | β |
| Verified Telemetry Boundary | β | β | β | β | β |
| Backend Fraud Detection Engine | β | β | β | Limited | Limited |
| Graph-Based Fraud Detection | β | β | β | β | β |
| Tamper-Evident Forensic Evidence | β | β | β | Partial | β |
| Regulator Evidence Export (RBI / DPDP) | β | β | β | β | β |
| Post-Quantum Cryptography Ready | β | β | β | β | β |
| Edge ML Risk Scoring | β (<100ms) | Partial | β | Partial | Transaction Only |
| Threat Coverage (# of threats) | 102 | 70+ | 60+ | 80+ | Behavioral Only |
| Deployment | Cloud & On-Prem | Cloud | Cloud | Cloud | Cloud |
A device-edge, zero-trust architecture that detects, prevents, investigates, and enables recovery from fraud in real time.
Executes directly on the device to establish trust and detect threats.
Enforces real-time decisions to block fraud.
Correlates signals across sessions and timelines.
Generates regulator-ready evidence.
Real-world visibility into threat detection, SOC operations, and PayShieldβs multi-layer protection model.
Traditional cybersecurity tools werenβt built for mobile app environments. Modern mobile fraud and runtime threats evolve rapidly and require intelligent, adaptive defense that runs where threats originate β right at the device edge.
Live fraud patterns observed across Indiaβs mobile-first digital ecosystem and actively mitigated using PayShieldβs device-edge intelligence.
Account takeover, OTP fraud, mule accounts, fake banking apps
Device trust, behavioral biometrics, runtime protection, and real-time transaction blocking.
Loan fraud, synthetic identities, emulator-based onboarding
Liveness detection, device fingerprinting, and evidence-backed rejection of high-risk applicants.
Legacy system abuse, phishing-led credential compromise
Lightweight SDK integration, zero-trust enforcement, and regulator-ready audit trails.
Refund abuse, bot-driven purchases, fake return fraud
Device reputation scoring, bot detection, and behavioral anomaly detection at checkout.
Identity misuse, benefit leakage, impersonation attacks
Secure citizen app access, tamper-proof devices, and forensic evidence for audits.
Automated bot trading, session hijacking, order manipulation
Runtime integrity checks, anti-bot behavior analysis, and sub-100ms edge ML scoring.
Compromised employee devices, data exfiltration, insider risk
Continuous device posture assessment and zero-trust access enforcement.
SDK integrates into your app to enable telemetry and policy hooks.
Device signals, networks, and user behaviour are monitored in real time.
Adaptive policies decide allow/block with AI scoring.
Block attacks, generate evidence, and feed analytics & compliance exports.
A live view of how PayShield detects, blocks, investigates, and prepares evidence β before financial loss occurs.
Rooted device, bot activity, fake app
Edge ML scoring & policy enforcement
Dashboards, evidence & recovery
Flexible plans designed to scale from pilot validation to enterprise-grade fraud prevention and compliance.
Help us secure India's $3 Trillion Digital Economy
Connect directly with our team for a pilot or demo.