A 3D digital banking structure secured by a glowing padlock for enterprise fraud prevention A 3D digital banking structure secured by a glowing padlock for enterprise fraud prevention

Fraud Detection Solutions for Enterprise Risk Teams

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Strengthen fraud detection across the customer lifecycle

Catch more risk while keeping legitimate customers moving and analyst workload under control. Neontri combines behavioral signals, real-time decisioning, and AI-assisted investigation across the customer journey, integrated with your current fraud stack.

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How stronger fraud detection improves 
your business resilience

Earlier visibility into fraud risk

Signals across the customer journey give risk teams more context to identify suspicious behavior before it develops into a larger problem.

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Faster, more consistent risk decisions

Risk information is available closer to the point of activity, allowing decisions to be made without relying as heavily on retrospective investigation.

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Time saved on repetitive analyst work

Reducing manual triage and data gathering gives specialists more capacity for complex cases that require judgment.

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Stronger fraud controls with operational continuity

Capabilities can be introduced around existing systems, allowing organizations to improve fraud operations without replacing the entire technology stack.

Broader insight into emerging threats

Additional intelligence beyond internal transaction history provides greater context around attack patterns that may be difficult to identify in isolation.

Find the gaps before fraud does

 

Turn weak points into a clear action plan. We assess your rules, signals, workflows, and investigation load so your team knows what to address first.

 

TALK TO A FRAUD EXPERT

What Neontri delivers to strengthen fraud detection

01

Behavioral and device signal analysis

Device characteristics and behavioral patterns are analyzed from onboarding through every transaction. Models are tuned to your user population to reduce false positives while staying sensitive to anomalous activity.

02

Real-time transaction risk decisioning

Live risk models evaluate activity before authorization completes, enabling immediate risk decisions at the point of transaction.

03

Identity fraud prevention at onboarding

Identity verification and risk assessment run at the moment of account creation, flagging synthetic identities and fraudulent applications before they become active.

04

Account takeover protection

Login and account management events are monitored in real time, with risk-based step-up controls triggered by anomalies without locking out genuine customers.

05

Bot detection and automated attack prevention

Credential stuffing, account creation abuse, and payment flow automation are identified through device intelligence before attacks scale.

06

AI-assisted fraud investigation

AI agents support alert triage, rule optimization, and dispute processing in a centralized workspace, so risk teams can focus on decisions rather than queue management.

Built to strengthen your existing fraud stack

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Cross-industry fraud intelligence

Shared risk signals provide context beyond your own transaction history, expanding visibility into attack patterns developing across the wider network.

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Modular architecture

Behavioral intelligence, real-time decisioning, and AI-assisted operations can be introduced independently rather than requiring a full platform replacement.

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Integration with existing systems

API-based integration connects new capabilities with established fraud tools and workflows, reducing disruption during implementation.

Trusted by leading financial institutions

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“A solution co-developed with Neontri has reduced the number of queries directed to the central system, resulting in lower infrastructure costs and customer service time.”

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Piotr Durakiewicz

Team leader – departament of electronic banking applications

“The IT specialists they provided possessed the necessary experience and required competencies. We recommend Neontri as a trustworthy and reliable business partner.”

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Wojciech Moraczewski

Senior Manager

“Neontri’s execution and deep understanding of corporate processes made our project remarkably smooth. Their extensive enterprise experience delivered impressive results from solution to implementation.”

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Patryk Dąbrowski

Head of Software Development

“Neontri stood out with their commitment, technical competence, and understanding of KIR’s business needs.”

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Robert Trętowski

Vice president

Your fraud stack doesn’t need another patch

 

Bring the right detection, decisioning, and investigation capabilities together around the systems already in place.

SCHEDULE A 30-MIN CALL

Our 5-step
fraud detection implementation approach

A top-down view of a cross-functional team collaborating at a shared desk during a fraud detection implementation project

01

Discovery and risk mapping

We start by understanding your team’s priorities, constraints, and key fraud risks. Attack vectors, compliance requirements, and integration boundaries are documented upfront to define the scope.

02

Fraud program assessment

Our team reviews detection rules, signal sources, workflow coverage, and investigation capacity. This shows where rules are sufficient and where behavioral or ML-based scoring can identify patterns that rules miss.

03

Findings and prioritization

Gaps are ranked by fraud exposure, feasibility, and compliance impact. We align on the priorities with your team and agree what should move into delivery planning.

04

Delivery planning

We turn agreed priorities into workstreams, owners, milestones, and deliverables. The scope may include risk scoring, case management, API integrations, identity verification, and continuous authentication.

05

Ongoing review

After launch, our specialists continue monitoring performance, refining rules, and providing advisory support. Detection logic and behavioral baselines evolve with fraud patterns and user behavior.

Strengthen you fraud defenses
with Neontri

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