REAL-TIME DECISIONING

Prevent fraud before settlement without the friction

Evaluate each incoming event with real-time features, rules, machine-learning, graph, device, and behavioral signals. DataVisor returns a synchronous detection result for immediate action, preventing fraud before settlement while reducing customer friction, false declines, and manual review — with end-to-end processing under 30 ms.

See decisioning in action

Solution pillars

Bring every detection layer into the moment that matters

Combine rules, supervised and unsupervised ML, device and behavioral intelligence, graph analysis, and third-party signals within one decision strategy.

ONE DECISION. ALL THE INTELLIGENCE.

Bring every detection layer into the moment that matters

Combine rules, supervised and unsupervised ML, device and behavioral intelligence, graph analysis, and third-party signals within one decision strategy.

CONTROL THE OUTCOME

Turn risk intelligence into the right action

Approve, reject or decline, step up authentication, send for analyst review, or trigger supplementary actions based on the risk, channel, customer, and business objective of each event.

ADAPT STRATEGIES WITHOUT WAITING

Give risk teams direct control over decision logic

Configure separate decision flows by event type, product, channel, risk threshold, and business policy, then test and publish each strategy to match the desired risk appetite as fraud patterns and priorities change.

Product Proof

See exactly how a decision was made

Show a real decision strategy and decision trace: the decision reasons, rule execution details, model results, features, and supplementary actions returned.

Raw event

→

Normalize
+ enrich

→

Real-time
features

→

Rules · ML ·
Graph

→

Decision +
case mgmt

Illustrative data flow — validation, enrichment, real-time feature computation, and decisioning working together in one pipeline.

From event to action in milliseconds

Follow a single event through DataVisor's real-time decisioning pipeline:

Receive the event and associated device, behavioral, graph, third-party, rule, model, and feature signals.

Enrich and standardize data, and compute real-time features.

Evaluate rules and models.

Resolve the strategy into a decision response including event metadata, features, auto-decision, supplementary actions, model results, and rule execution details.

Return a JSON decision response via the Detection API, and send review decisions and data-source updates back to customer systems via Postback.

DECISION INTELLIGENCE WITHOUT SILOS

Use the strongest signal for every decision

DataVisor lets teams orchestrate rules, supervised and unsupervised ML, graph analysis, device and behavioral intelligence, and third-party signals together in one decision flow. Real-time signal enrichment and combined evaluation support decisions before an event completes, instead of operating as a separate point solution.

Use Cases Across The Fraud And Risk Lifecycle

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CONTROL WITHOUT COMPROMISING GOVERNANCE

Test, explain, audit, and evolve strategies

Give evaluators full visibility into how every decision strategy is tested, explained, audited, and evolved.

• Decision explainability: decision reasons, rule execution details, model scores, features, and actions

• Audit trails: versioned strategy-change records including actors, timestamps, before/after states, and approvals

• Strategy versioning and rollback: unpublishing the active version and republishing the prior version

• Simulation and backtesting: quick and basic tests, historical backtesting

• Shadow testing: trial/shadow mode

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Connected Platform

Decisioning gets stronger with every layer of intelligence

Connect data enrichment and feature engineering, rules, supervised and unsupervised ML, device and behavioral intelligence, graph analytics, and third-party signals directly into the decision flow.

Real-Time Data Orchestration →

Rules, Features & Workflow Automations →

Supervised Machine Learning →

Unsupervised Machine Learning →

Device & Behavioral Intelligence — dEdge →

Knowledge Graph & Link Analysis →

Investigations & Case Management →

Performance At Scale

Speed that protects conversion as well as fraud loss

Approved performance metrics

>15,000

QPS

<30ms

end-to-end latency

Approved throughput and latency figures for Real-Time Decisioning.

Frequently Asked Questions About Real-Time Decisioning

Answers to common questions about decision speed, explainability, and strategy governance.

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Put your strategy to the test

Walk through a live event showing input signals, feature computation, model scores, rule evaluation, final decision, supplementary action, and explanation.

Request a decisioning demo