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Enterprise payment security

Enterprise payment-security products built for real-time financial ecosystems.

DataSchutz develops enterprise-grade fraud prevention and adaptive authorisation platforms for banks, NBFCs, fintechs, payment processors and sovereign payment systems.

Our product family is designed to help financial institutions evaluate contextual trust before funds move, combining cryptographic authorisation, adaptive decision intelligence, explainable AI and privacy-conscious risk evaluation.

Platform 01 / Enforcement

CELT-UV

Cryptographic Adaptive Fraud Prevention Platform

CELT-UV is a cryptographic authorisation platform that evaluates contextual payment risk before authorisation by combining adaptive AI, cryptographic tokenisation, behavioural intelligence and explainable decision making.

Platform 02 / Patent pending

DART

Dynamic Authorisation and Risk Tokenisation

DART (Dynamic Authorisation and Risk Tokenisation) is an adaptive authorisation platform designed for instant-payment ecosystems. It continuously evaluates contextual trust signals—including user trust, device trust, behavioural continuity, QR authenticity and session integrity—to support intelligent authorisation decisions before funds move. The platform dynamically determines the appropriate response, ranging from seamless approval to step-up authentication, transaction hold or rejection, while optimising operational cost through adaptive risk-based decision making.

Complementary platforms

How CELT-UV and DART Work Together

DART evaluates changing trust signals within the payment journey. CELT-UV uses that contextual intelligence to apply secure, transaction-specific cryptographic authorisation controls before the payment is released.

CustomerPayment origin
Payment RequestTransaction context
DARTContextual trust evaluation
CELT-UVCryptographic authorisation enforcement
Authorisation DecisionApprove · step up · hold · reject
BankPayment execution

DART evaluates trust by continuously interpreting user, device, session, merchant, beneficiary and environmental signals.

CELT-UV enforces authorisation by binding contextual policy and cryptographic controls to the specific transaction.

Product 01

CELT-UV

Cryptographic Adaptive Fraud Prevention Platform

CELT-UV introduces transaction-specific cryptographic authorisation using contextual intelligence. It combines adaptive payment controls, AI-led decision intelligence and cryptographic enforcement so risk policies can be applied before funds move.

01 / Security foundation

Cryptographic Security

Creates a transaction-specific cryptographic control layer designed to bind authorisation to policy, context and payment intent.

  • Cryptographic Ephemeral Limit Token (CELT)
  • AI-generated authorisation tokens
  • Transaction-specific cryptographic binding
  • Policy-bound tokens
  • Dynamic key entropy
  • Replay protection
  • Secure revocation
  • Hierarchical key management
  • Tamper-resistant validation
  • Cryptographic transaction fingerprinting
02 / Controls

Adaptive Authorisation

Adjusts limits and permissions to the transaction rather than relying only on static account-level rules.

  • Adaptive transaction limits
  • Dynamic spending ceilings
  • Merchant-specific policies
  • Device-bound authorisation
  • Geographic constraints
  • Time-aware authorisation
  • Velocity controls
  • Frequency controls
  • Adaptive token lifetime
  • Channel-specific controls
03 / Intelligence

AI Decision Intelligence

Fuses behavioural and contextual signals into continuously recalculated authorisation policies.

  • Adaptive Risk Density Engine
  • Behaviour analytics
  • Behavioural drift detection
  • Device trust
  • Merchant reputation
  • Customer spending intelligence
  • Transaction context
  • Continuous risk recalculation
  • Edge Risk Fusion
  • AI-generated authorisation policies
04 / Threat coverage

Fraud Prevention

Evaluates transaction, identity, merchant and behavioural anomalies across card-present, card-not-present and account-based payment activity.

  • Card-not-present fraud
  • Card-present fraud
  • Stolen card misuse
  • Account takeover
  • Merchant fraud
  • Synthetic identity indicators
  • Transaction anomalies
  • Velocity fraud
  • First-time merchant analysis
  • Impossible transaction detection
  • High-risk merchant detection
  • Transaction chaining analysis
05 / Scam defence

APP Fraud Prevention

Adds beneficiary and intent awareness to authorised push payment decisions.

  • Beneficiary trust
  • Recipient behaviour
  • Coercion indicators
  • Social engineering detection
  • Transaction purpose consistency
  • First-time beneficiary protection
  • Context-aware payment authorisation
  • Beneficiary reputation
06 / Financial crime

AML Intelligence

Extends contextual evaluation into transaction-flow and network indicators relevant to real-time AML controls.

  • Mule account detection
  • Layering identification
  • Smurfing detection
  • Network relationship analysis
  • Behavioural AML scoring
  • Transaction flow intelligence
  • Real-time AML integration
  • Dynamic AML enforcement
07 / Transparency

Explainable AI

Produces evidence that helps risk and operations teams understand why an authorisation outcome was reached.

  • Explainable authorisation decisions
  • Human-readable explanations
  • Transparent AI reasoning
  • Decision traceability
  • Fraud explanation engine
08 / Collective defence

Federated Intelligence

Supports collaborative fraud learning while keeping raw customer data within the participating institution’s control.

  • Cross-bank learning
  • Privacy-preserving updates
  • Collaborative fraud detection
  • Distributed intelligence
  • No raw customer-data sharing
09 / Resilience

Progressive Recovery

Responds proportionately when trust weakens, preserving safe payment pathways where policy allows.

  • Smart Fallback
  • Progressive Recovery
  • Step-up authentication
  • Adaptive authorisation downgrade
  • Temporary spending reduction
  • Delayed authorisation
  • Token regeneration
  • Issuer escalation
10 / Architecture

Integration

Designed for low-latency adoption across existing payment infrastructure and enterprise security environments.

  • Issuer deployment
  • Payment gateways
  • Acquirer compatibility
  • POS compatibility
  • Wallet compatibility
  • API-first integration
  • HSM integration
  • Existing payment rails
  • PCI DSS-friendly architecture
  • Low-latency deployment
11 / Control room

Operations

Gives enterprise teams the telemetry, policy management and auditability required to operate adaptive controls.

  • Fraud telemetry
  • Audit trails
  • Adaptive policy engine
  • Continuous learning
  • Policy updates
  • Risk logging
  • Performance optimisation

Review how CELT-UV can align cryptographic enforcement with your authorisation architecture and existing payment rails.

Request Technical Briefing
Product 02 / Adaptive authorisation

DARTDynamic Authorisation and Risk Tokenisation

Patent-pending adaptive authorisation platform designed for sovereign instant-payment ecosystems.

Trust signalsDecision engineAI intelligenceAPP protectionPayment ecosystemsDeployment

Trust Signals

A live view of continuity, authenticity and confidence across the payment context.

  • User Trust
  • Device Trust
  • Behavioural Continuity
  • QR Authenticity
  • Session Integrity
  • Merchant Trust
  • Beneficiary Trust
  • Location Consistency
  • Environmental Context
  • Network Confidence

Adaptive Decision Engine

Transforms trust confidence into proportionate actions within the payment workflow.

  • Context-aware approvals
  • Adaptive step-up authentication
  • Transaction hold
  • Dynamic rejection
  • Merchant-aware decisions
  • Risk-adaptive workflows
  • Trust confidence scoring
  • Adaptive policy generation
  • Operational cost optimisation

AI Intelligence

Continuous learning for changing payment behaviour.

  • Behaviour analytics
  • Device intelligence
  • Merchant intelligence
  • Customer behaviour
  • Beneficiary familiarity
  • Continuous learning
  • Dynamic thresholds
  • Explainable AI
  • Decision traceability

APP Fraud Protection

  • Recipient familiarity
  • Beneficiary trust
  • Social engineering indicators
  • Coercion detection
  • Purpose consistency
  • Context-aware payment approval
  • Adaptive intervention

Payment Ecosystems

  • UPI
  • Pix
  • FedNow
  • PayShap
  • Future sovereign payment systems
  • API-first integration
  • Gateway compatibility
  • Low-latency architecture

Deployment

  • Banks
  • NBFCs
  • FinTech
  • Payment Processors
  • Government Payment Systems
  • Digital Wallets
  • Card Networks

Map DART’s contextual trust layer to your real-time payment environment, decision workflows and integration requirements.

Discuss Integration
Product comparison

Two platforms. Distinct roles. One payment-security architecture.

DART provides adaptive authorisation and risk tokenisation informed by contextual trust. CELT-UV provides the cryptographic enforcement layer for applying contextual authorisation.

CapabilityCELT-UVDART
Primary roleCryptographic adaptive fraud prevention and contextual authorisation enforcement.Continuous contextual trust evaluation and adaptive payment decision intelligence.
Core technologyCryptographic tokens, transaction binding, adaptive policies and risk fusion.Trust-signal fusion, behavioural intelligence and dynamic decision orchestration.
Decision modelGenerates and enforces transaction-specific authorisation policy.Continuously recalculates trust confidence throughout payment execution.
AuthorisationApplies policy-bound cryptographic controls before funds move.Supports approve, step-up, hold, intervention and reject workflows.
CryptographyCore platform capability for tokenisation, transaction binding, revocation and validation.Supplies contextual intelligence that can inform downstream enforcement.
Risk intelligenceTransaction, merchant, behavioural, fraud, APP and AML intelligence.User, device, session, merchant, beneficiary, location and network trust.
DeploymentIssuer, gateway, acquirer, POS, wallet, HSM and existing payment-rail integration.Bank, NBFC, fintech, processor, wallet and government payment-system integration.
Payment supportCard, account, wallet and multi-channel authorisation environments.Instant-payment and sovereign real-time payment ecosystems.
Ideal use casesCryptographic payment control, adaptive limits, fraud prevention and secure recovery.Real-time trust scoring, APP fraud intervention and adaptive workflow decisions.
Industries

Built for institutions operating inside the payment decision.

The product family is designed for organisations that need to evaluate trust, control authorisation and respond to fraud within low-latency financial infrastructure.

Banks

Apply contextual trust evaluation and cryptographic authorisation across issuer, account, card and digital-banking payment flows.

NBFCs

Introduce adaptive payment controls and behavioural risk intelligence into digital financial services and transaction journeys.

FinTech

Integrate low-latency trust scoring, explainable decisions and policy-led authorisation through API-first architecture.

Payment Processors

Embed contextual evaluation and enforcement into high-throughput routing, gateway and authorisation workflows.

Digital Wallets

Evaluate device, user, merchant and beneficiary trust while applying transaction-specific controls to wallet payments.

Government Payment Systems

Support adaptive fraud controls and contextual payment decisions across real-time sovereign payment infrastructure.

Card Networks

Extend risk intelligence and cryptographic policy enforcement across card-present, card-not-present and tokenised payment environments.

Product lifecycle

Context becomes policy. Policy becomes control.

Each payment contributes to a continuous operating cycle that connects contextual assessment, trust intelligence, cryptographic enforcement and learning.

01Assess Context
02Evaluate Trust
03Generate Policies
04Cryptographic Enforcement
05Authorisation Decision
06Continuous Learning
Enterprise engagement

Discuss a payment-security architecture built around your ecosystem.

Engage DataSchutz to review product fit, technical integration, authorisation workflows and enterprise deployment requirements.