New insight: Building an actionable exposure program

Detection & Response

Fraud Protection

We help teams assess relevant fraud signals and integrate protection with established investigation processes.

  • Assessment of relevant fraud signals
  • Security capabilities for digital channels
  • Integration with established investigation processes

The challenge

Keep fraud signals and cases together

Fraud signals lose value when digital-channel context and case ownership are separated. Cyberus helps security and fraud teams assess relevant signals, define escalation paths and strengthen the controls around suspicious activity.

Security support for fraud-risk decisions

Digital fraud can involve account takeover, device changes, automated abuse, deceptive transactions or manipulation of customer processes. Useful detection depends on the channel and cannot be reduced to one universal rule.

Cyberus reviews agreed journeys, available telemetry and investigation workflows. Recommendations support human decision-making and established case processes; they do not promise that every fraudulent event will be detected or prevented.

Tracing a fraud attempt

  1. Account approach. A stolen identity, new device or automated script targets a sensitive customer action.
  2. Signals gathered. Device, session and transaction evidence is available for the agreed journey.
  3. Step-up decision. A verification, limit or review holds the action until a person or rule judges it.
  4. Loss realized. If nothing intervenes, funds, data or account control pass to the abuser.

Why it matters

  • Business risk: Fraud aimed at digital journeys costs money and customer trust, and rules built for one channel often fail on another.
  • Decision it supports: Teams can decide which actions need extra verification, which signals to rely on and who approves customer-impacting steps.
  • What you receive: You receive a map of agreed journeys, signal and control gaps, and prioritized workflow changes for fraud staff to adopt.

Connect digital signals to investigation

Journey and abuse mapping

Identify high-risk customer actions and plausible ways controls may be bypassed or manipulated.

Why it matters
Attackers study how a process can be bent, so thinking like them reveals weak spots before losses do.
Supports
Choosing which journeys need attention first
Signal assessment

Review identity, device, session, transaction and behavioral evidence available for agreed scenarios.

Why it matters
Decisions are only as good as the evidence behind them, and some signals are missing or unreliable.
Supports
Deciding which signals to trust and add
Control review

Assess preventive checks, step-up verification, limits and exception handling around sensitive actions.

Why it matters
Checks that are too light invite abuse, and checks that are too heavy frustrate genuine customers.
Supports
Balancing friction against risk
Case integration

Define what evidence moves into fraud investigation and who can approve customer-impacting actions.

Why it matters
Investigators lose time when evidence is scattered or nobody can approve a freeze or block.
Supports
Speeding up case handling and approvals
Feedback and tuning

Use confirmed and closed cases to refine rules, thresholds and investigation guidance.

Why it matters
Closed cases show which rules catch real fraud and which only generate noise for the team.
Supports
Adjusting thresholds from outcomes

How a fraud-protection engagement runs

  1. Select priority journeys

    Agree channels, customer actions, fraud scenarios, impact and regulatory or operational constraints.

    Why it matters
    Picking journeys by impact keeps limited effort on the actions that would hurt most if abused.
  2. Map signals and controls

    Document available evidence, rules, verification steps, data quality and ownership.

    Why it matters
    Documenting evidence and owners exposes signals that exist but nobody uses.
  3. Test decision paths

    Use representative scenarios to examine alerts, investigation hand-offs and customer-impacting choices.

    Why it matters
    Scenario walkthroughs show whether alerts and hand-offs work before a live case tests them.
  4. Improve and measure

    Prioritize control and workflow changes, then define review measures using available case outcomes.

    Why it matters
    Measures drawn from case outcomes show whether changes helped, rather than relying on impressions.

Why choose Cyberus for fraud protection

Follow the relationship between identity, device, behavior and action.

  • Journey

    A defined high-risk action

  • Signals

    Identity, device and behavior context

  • Decision

    Risk-based investigation step

  • Learning

    Case outcome feeds tuning

Fraud Protection

Frequently asked questions

Will this service prevent every fraud attempt?

No. Fraud changes and controls involve trade-offs. The service helps assess signals and processes so teams can make better-supported risk decisions.

How is this different from a general security review?

It focuses on abuse of specific customer or transaction journeys and the link between technical evidence, fraud cases and business decisions.

Can existing data be used?

Yes. The engagement begins by reviewing available channel, identity, device and case data, including quality and access limitations.

Talk to a specialist

Tell us about your environment, timing and the outcome you need, and a member of the Cyberus team can follow up to discuss scope.

Team certifications

Individual qualifications held by members of the Cyberus team. They are not company accreditations, and not every consultant on an engagement holds every badge.

Strengthen fraud protection

Tell us about your digital channels and current investigation process.

Talk to a specialist
Talk to a specialist