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Iotron AI

AI solution · Anomaly & Fraud Detection

Real-time anomaly and fraud detection built on your financial and operational data, with explanations your analysts can act on.

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01The problem

Static rules miss new patterns and drown teams in false alerts.

The Iotron approach

We match detection latency to the decision you need to make, and attach the reasons to every score so analysts can act on it.

02Use cases

Where it makes a difference.

Each one scoped against a real decision, evaluated on your data and integrated with the systems you already run.

  1. 01

    Transaction fraud scoring

  2. 02

    Behavioural and account anomaly detection

  3. 03

    Equipment and sensor anomaly detection

  4. 04

    Security-event monitoring and triage

03How it works

From data to decision.

The typical architecture, from your data to a decision people can trust. Every stage is evaluated, monitored and logged.

  1. 01InputStreaming ingestion
  2. 02Stage 2Feature computation
  3. 03Stage 3Hybrid rules + models
  4. 04Stage 4Risk score with reason codes
  5. 05OutcomeAnalyst queue and feedback loop

04Architecture & control

What it takes — and how it stays safe.

What goes in, what the system does with it, and the controls around every stage.

System

From data to decision

  1. 01Streaming ingestion
  2. 02Feature computation
  3. 03Hybrid rules + models
  4. 04Risk score with reason codes
  5. 05Analyst queue and feedback loop

Controls

Security & governance

  • Explainability
  • Feedback loops
  • Monitoring for drift
  • Documentation for audit and regulators

Applied at every stage, not added at the end.

05Industries

Where it is applied.

Industries where we build this capability into operations.

Anomaly & Fraud Detection: common questions

Real-time or batch?

Depends on the decision latency you need; both are supported.

Do you replace our rules engine?

We usually complement it.

Project scenario · Manufacturing & Industrial

Predicting failures on rotating equipment across three plants — without waiting for failure history.

See how the project runs

From our engineers

Real-time vs batch fraud detection

The decision latency your business can tolerate — not model sophistication — is what should decide whether fraud detection runs in real time or in batch.

Read the article

Get in touch

Ready to discuss Anomaly & Fraud Detection?

Tell us where anomaly & fraud detection could change a decision or a workflow. We will give you an honest view of feasibility, data needs and the first step.