Fraud Detection &
Risk AI
RDP is building India’s sovereign on-premise Fraud Detection & Risk Intelligence platform — purpose-built GPU infrastructure, transaction processing software, and validated AI models for real-time fraud prevention, credit risk, AML, and regulatory.
Why Fraud Detection & Risk AI, Why Now
India’s digital payments ecosystem processes over 10 billion transactions per month through UPI alone. As transaction volumes surge, so do fraud attempts — synthetic.
Target Segments
Public Sector Banks
SBI, PNB, BoB — real-time fraud detection across UPI, NEFT, RTGS, cards, and internet.
Private & Foreign Banks
HDFC, ICICI, Axis — advanced AI for credit risk, market risk, and transaction monitoring
Payment Aggregators
Razorpay, PhonePe, Paytm — real-time transaction scoring at millions of TPS with.
Insurance Companies
LIC, ICICI Lombard — claims fraud detection, underwriting AI, and actuarial risk modelling
NBFCs & Fintechs
Bajaj Finance, Lendingkart — credit scoring, collections AI, and portfolio risk analytics
Payment & Fintech Companies
UPI platforms, digital wallets, payment aggregators, neo-banking
Full Stack Architecture
Three integrated layers — hardware, software, and AI — purpose-built for bfsi at institutional, state, and national scale.
INTELLIGENCE — Fraud & Risk AI Models
Transaction Scoring · AML Detection · Credit Risk · Identity Verification · Anomaly Detection
SOFTWARE — Risk AI Platform
Stream Processor · Rules Engine · Case Manager · Graph Analytics · Regulatory Reports · ISV Apps
HARDWARE — RDP Proprietary Infrastructure
AI-POD · Inference GPU · NVMe Storage · Lossless Fabric · Edge Nodes · HA Cluster
RDP Proprietary Infrastructure
| Component | RDP SKU | BFSI Role | Key Specification |
|---|---|---|---|
| Compute Node | RDP AI-POD (Rack Scale) | Primary AI for real-time transaction scoring and model training | 8× GPU per node, NVLink |
| Inference Server | RDP BFSI AI SKU | Sub-10ms fraud scoring at 100K+ transactions per second | A100 / L40S, HA redundant |
| Transaction Store | RDP NVMe All-Flash Array | High-speed transaction data lake, feature store, and model datasets | Up to 500 TB, 10 GB/s |
| Network Fabric | RDP Lossless Fabric | Ultra-low latency interconnect for real-time scoring pipelines | 100GbE / 400GbE |
| Branch Edge | RDP Inference Edge | Branch-level AI for local fraud screening and biometric verification | Compact GPU, 24×7 |
Risk AI Platform
Apache Kafka / Flink
Real-time streaming for transaction event processing at scale
Apache Spark
Distributed analytics for batch risk scoring and model training
Neo4j / TigerGraph
Graph database for network analysis, mule detection, and entity resolution
MLflow / Kubeflow
Model lifecycle management — training, validation, deployment, monitoring
NVIDIA Triton Server
High-throughput model serving for real-time fraud scoring
Drools / BRMS
Business rules engine for regulatory compliance and policy enforcement
Real-Time Fraud Scoring
AI-driven transaction risk scoring at sub-10ms latency for UPI, cards, NEFT
Anti-Money Laundering AI
Network analysis, suspicious transaction detection, and STR generation
Credit Risk Engine
Real-time credit scoring, PD/LGD/EAD models, and portfolio analytics
Identity Verification AI
Biometric matching, document verification, and synthetic identity detection
Claims Fraud Detection
Insurance claims anomaly detection, provider network analysis, and subrogation AI
Regulatory Reporting AI
Automated generation of RBI, SEBI, IRDAI compliance reports
Pre-Validated AI Models
| Risk Domain | Model Type | Application | Performance |
|---|---|---|---|
| Transaction Fraud | Gradient Boosting + DNN | Real-time scoring of UPI, card, NEFT/RTGS transactions for fraud probability | 99.5% detection, <0.1% false positive |
| AML / CFT | Graph Neural Network | Mule account detection, suspicious network identification, and STR prioritisation | Detects 10× more networks |
| Credit Scoring | XGBoost + Neural Net | Real-time credit decisioning, PD estimation, and behavioural scoring | Gini > 0.75, KS > 0.50 |
| Identity Fraud | CNN + Biometric | Synthetic identity detection, document forgery analysis, and liveness verification | 99.9% biometric accuracy |
| Claims Fraud | Anomaly Ensemble | Insurance claims anomaly scoring, provider fraud rings, and subrogation AI | 35% more fraud detected |
| Market Risk | Transformer + LSTM | VaR estimation, stress testing, and portfolio risk scenario analysis | 95% back-test accuracy |
Deployment Configurations
Three pre-validated tiers — each with hardware, software, AI models, and RDP SLA support. Custom BOQ on request.
Starter
Single Branch / NBFC
Professional
Mid-Size Bank / Insurer
Enterprise
Large Bank / Payment Network
End-to-End on Sovereign Infrastructure
Complete pipeline from data ingestion to actionable intelligence — every step on RDP infrastructure.
INGEST
ENRICH
SCORE
VALIDATE
ACTION
MANAGE
Build With Us · Sell With Us
RDP’s BFSI AI platform is designed for India’s ecosystem. We’re inviting technology and channel partners, and direct inquiries from organisations.
Technology Partners
- Certify your fraud/risk AI on RDP sovereign infrastructure
- Access GPU labs for model validation with synthetic data
- Joint go-to-market with RDP BFSI sales team
- Co-branded solution briefs for bank procurement
- Core banking / UPI integration support
Channel Partners
- Sell complete fraud & risk AI solutions
- Pre-configured BFSI deployment packages
- RDP-backed implementation & SLA support
- Partner margins on hardware + software + services
- BFSI sales training & certification
Financial Institutions
- Schedule a BFSI solution workshop
- Request a proof-of-concept deployment
- Get a custom Bill of Quantities
- Evaluate starter tier with synthetic data
- RBI / IRDAI compliance advisory support
India’s Sovereign BFSI AI Infrastructure
Make in India Hardware
All RDP systems designed and assembled in India. GeM-listed for government bank procurement.
Financial Data Sovereign
Transaction data, customer records, and AI models stay on Indian infrastructure. Zero export.
RBI Compliant by Design
RBI data localisation, DPDP Act, and PCI-DSS compliance built into the architecture.
Enterprise Security
ISO 27001 certified infrastructure with encryption, audit trails, and access controls.
5-Year Lifecycle Commitment
Hardware support, AI model updates, and continuous improvement throughout lifecycle.
Full Stack — Single OEM
Servers, storage, networking, software, and AI from one Indian OEM. One BOQ, one SLA.
Regulatory Alignment
| Standard | Scope | RDP Coverage |
|---|---|---|
| RBI Data Localisation | Data Residency | On-premise — zero cross-border transfer of financial data |
| RBI KYC / V-KYC | Identity Verification | AI-assisted KYC, video KYC, and biometric verification support |
| PMLA / AML | Anti-Money Laundering | STR generation, CTR filing, and FATF-compliant transaction monitoring |
| PCI DSS | Payment Card Security | Encryption, tokenisation, and access controls for card data |
| ISO 27001 | Information Security | RDP infrastructure ISO 27001 certified for financial operations |
| IRDAI / SEBI | Insurance & Securities | Compliance reporting support for insurance and capital market regulators |
Projected Impact
| Metric | Before RDP AI | After RDP AI | Impact |
|---|---|---|---|
| Fraud detection rate | 70–80% (rules) | 99.5% (AI) | 25% more fraud caught |
| False positive rate | >50% (rules) | <5% (AI) | 10× reduction |
| Decision latency | 500ms–2 sec | <10ms | 50× faster |
| AML investigation | Manual, weeks | AI-prioritised, days | 5× faster |
| Credit decisioning | 24–48 hours | Real-time | Instant approval |
| Data sovereignty | Cloud/foreign risk | 100% on-premise | Zero RBI risk |
Ready to Build BFSI AI Capability?
From pilot to production — RDP designs, builds, and deploys sovereign AI infrastructure for India’s bfsi ecosystem.
Trademark Notice: All product names, logos, and brands mentioned are property of their respective owners. NVIDIA, CUDA, L40S, A100, H100, H200 are trademarks of NVIDIA Corporation. Use is for identification only.
Disclaimer: RDP Technologies provides AI compute infrastructure and does not provide financial advice, credit decisions, or regulatory determinations. AI models deployed on RDP infrastructure must be independently validated per applicable RBI, SEBI, and IRDAI regulations.
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