Stops attacks in real time using on-device intelligence and automatically produces regulator-ready evidence.
Mobile fraud incidents growing at unprecedented rates, targeting banks, fintech, and e-commerce platforms
Businesses struggle to reclaim funds due to weak evidence and manual investigation processes
Delayed fraud detection leads to massive financial losses and customer churn
DPDP Act & RBI mandates hitting 2,500+ entities with penalties up to βΉ50 Cr
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
| Feature | PayShield | Protectt | Appdome | Sift |
|---|---|---|---|---|
| Device Runtime Protection (RASP) | β | β | β | β |
| Edge ML Scoring | β (<100ms) | Partial | β | β (transaction) |
| Graph/Cross-session Correlation | β | β | β | Partial |
| Agentic Automation | β | β | β | Partial |
| Device-signed Evidence Packs | β | β | β | β |
| Reclaim/Compliance Exports | β | β | β | Partial |
| Threat Coverage | 102 | 50 | 70 | Behavioral |
| Deployment | Cloud & On-Prem | 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.