Real-Time Decisioning

Make the right risk decision before the money moves

Evaluate rules, machine learning, device and behavioral intelligence, graph relationships, identity signals, and transaction context in a single real-time decision. DataVisor gives teams the speed and control to stop fraud while keeping trusted customers moving.

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Decisions in 30 ms or less, at peak throughput above 15,000 QPS

Fraud & Risk Platform/Real-Time Decisioning
Solution Pillars

Bring every detection layer into the moment that matters

Combine supervised and unsupervised ML, rules, features, device intelligence, graph signals, identity context, and third-party data within one decision strategy.

One decision. All the intelligence.

Bring every detection layer into the moment that matters

Combine supervised and unsupervised ML, rules, features, device intelligence, graph signals, identity context, and third-party data within one decision strategy.

Rules · supervised + unsupervised ML · device & behavioral signals · graph · identity · third-party data
Control the outcome

Turn risk intelligence into the right action

Approve, decline, challenge, review, route, or trigger downstream workflows based on the risk, channel, customer, and business objective of each event.

Approve · decline · step-up · analyst review · downstream actions
Adapt strategies without waiting

Give risk teams direct control over decision logic

Configure strategies by product, channel, customer segment, or risk appetite and evolve them as fraud patterns and business priorities change.

Per-product, channel, and risk-appetite strategies · test before publish
Product Proof

Exactly how a decision gets made

A decision strategy and its full trace — the inputs evaluated, rules and models triggered, risk signals considered, and the action returned.

Event +
context
→
Real-time
features
→
Rules · ML ·
Graph
→
Decision
→
Trace +
action
Enrich each event with real-time context, compute relevant features, and evaluate rules, machine learning, and graph intelligence together to return a risk decision while the transaction is still in motion.
How It Works

From event to action in milliseconds

1

Receive the event and customer context.

2

Compute real-time features and enrich the event.

3

Evaluate rules, models, graph, device, and other signals.

4

Resolve the strategy into an action.

5

Return the decision to the customer system and retain the trace for analysis.

Decision intelligence without silos

Use the strongest signal for every decision

DataVisor lets teams orchestrate deterministic rules, adaptive ML, graph intelligence, and real-time signals together. Each layer contributes context to the same decision instead of operating as a separate point solution.

Decide In The Moment

Protect high-risk events across channels

Apply real-time decisioning to account opening, login and account takeover, card authorization, ACH and wire activity, RTP, digital payments, scams, and other high-velocity risk events.

Account Opening Login & Account Takeover Card Authorization ACH & Wire Activity RTP Digital Payments Scams
Proven In Production

Speed that protects conversion as well as fraud loss

30ms
Decision latency
15,000+
Peak QPS

DataVisor delivers this performance at production scale, giving risk teams the speed to stop fraud without slowing down trusted customers.

Connected Platform

Decisioning gets stronger with every layer of intelligence

Connect Real-Time Data Orchestration, Rules & Features, Supervised and Unsupervised ML, dEdge, Knowledge Graph, and Identity & Risk Signals directly into the decision flow.

Real-Time Data Orchestration → Rules, Features & Workflow → Supervised Machine Learning → Unsupervised Machine Learning → Device & Behavioral Intelligence — dEdge → Knowledge Graph & Link Analysis → Identity & Risk Signals →
Control Without Compromising Governance

Test, explain, audit, and evolve strategies

Give risk teams visibility into how decisions are made and how strategies change over time. Test and compare strategies before deployment, maintain a clear audit history, and evolve decision logic with greater control.

  • Decision explainability — reasons, rule execution, model scores, and features returned per decision
  • Versioned audit trail with actors, timestamps, before/after states, and approvals
  • Shadow mode, A/B, and champion/challenger testing before go-live
  • Draft → test → publish strategy workflows with rollback
  • Configurable risk thresholds and business policy per channel or product
FAQ

Common questions

How fast can DataVisor return a fraud decision?

DataVisor is built for real-time risk decisions, returning decisions in 30 milliseconds or less at peak throughput above 15,000 queries per second.

Can rules and machine learning be used in the same decision?

Yes. DataVisor can combine rules, supervised and unsupervised ML, device and behavioral intelligence, graph relationships, and other signals within a unified decision strategy.

Can teams understand why a decision was made?

DataVisor provides decision context and auditability so teams can trace the signals, strategies, and controls that contributed to an outcome.

See A Real Decision Flow

Put your strategy to the test

Walk through how DataVisor evaluates a live event, combines intelligence, and returns the right action in real time.

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