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EasyDetect is Dojah’s intelligent fraud engine built to help you detect and stop fraud in real time. It analyzes every user event—transactions, loan applications, signups—and returns a verdict: Approve, Block, or Review. You define the rules (there are also templates to begin with). We apply machine learning. Together, they power precise fraud detection with less friction for good users.

What It Does

EasyDetect evaluates events using a hybrid decision engine that includes:
  • Your Rules – Simple or complex logic you create in minutes from the dashboard
  • Behavioral Analytics – Understand typical vs. anomalous user behavior over time
  • ML Risk Scoring – Learn patterns across accounts, devices, and event histories
  • Account Profiling – Track every user across multiple identifiers and flows
It’s real-time fraud detection with long-term risk intelligence built in.

How to Integrate and Use

You can go live with EasyDetect in under an hour. Here’s the typical setup flow:
  1. Create a Flow
    Define what kind of events you want to monitor (transactions, signups, etc). Each flow acts like a container for rules, signals, and verdicts.
  2. Create Rules
    Use the no-code rule builder to configure logic like “flag any new device + amount > ₦1M.” Choose from dozens of data points and operators.
  3. Make a Decision
    Choose your preferred action: block, approve, or review. Suspicious events are routed to case management.
  4. Send Events
    Send both backfill and live user events via our API. Start detecting fraud from day one without retraining time.
  5. Review Flagged Cases
    Investigate any event flagged for review via the dashboard. See all context, rules triggered, and user history.
  6. Report and Learn
    Export case data, track fraud metrics, and feed insights back into your decision-making.

Use Cases


Case Management

When EasyDetect flags an event as Review, it becomes a Case. Inside the dashboard:
  • Analysts can view why the event was flagged (rules, score, risk signals, behavioral analysis)
  • Investigate with full user history, metadata, and associated accounts
  • Decide to Approve or Block, or escalate for a second opinion
  • Add comments, status, and tags for internal tracking
  • Each decision feeds into the ML model, improving future detection
The Case Management panel is built for fraud teams, it’s not just a log. It’s an interactive command center.

Account Management

EasyDetect auto-generates a unified risk profile for every user by stitching together identifiers With each interaction, the profile gets richer, tracking behavioral history, past cases, and dynamic risk scores. Use the Accounts tab in the dashboard to:
  • Search for a user across flows
  • View all events linked to them
  • Flag suspicious account clusters
  • See historical risk changes over time
Perfect for identifying fraud rings or repeat offenders hiding behind new identities.

Analysis & Reporting

EasyDetect isn’t just reactive. It helps you learn. Inside the dashboard, you’ll find:
  • Flow-level performance metrics – Events by verdict, by rule, by status
  • Top triggered rules – See what logic is catching the most fraud
  • Case resolution trends – Track review outcomes over time
  • Export options – Download case data, verdicts, or full reports
Use this to fine-tune your rules, update ops playbooks, or show compliance teams how fraud is being mitigated.

Why EasyDetect

  • Built for fraud, not just data collection
  • Combines AI + human review workflows
  • No-code rule setup
  • Adaptive to any business flow
  • Actionable reporting & team visibility
  • Integrates via API or SDK
Whether you’re scaling a neobank, protecting loan decisions, or stopping resellers from gaming your coupons—EasyDetect gives you real-time trust signals, without slowing down your best customers.
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