Anti-Fraud Consulting Services
Engineering-driven fraud prevention services for banks, insurers, ecommerce, and fintech businesses. We advise on, design, build, and operate anti-fraud products at scale.
Fraud landscape in numbers
Over ⅓
of banks detect under 60% of fraudulent transactions before losses occur
80%+
of merchants say IT infrastructure is their biggest fraud challenge
97%
of financial organizations reported experiencing unauthorized debit fraud
22%
of surveyed executives say they may not have tools for real-time fraud detection
9.8%
of equivalent revenue is an estimated loss for US companies due to fraud
Our anti-fraud consulting and development services
Fraud risk assessment
As a part of our anti-fraud consulting services, we assess your business processes and IT systems to find weak points and recommend mitigation strategies. By combining auditing, data science, and security engineering, our team finds the vulnerabilities before they cause damage.
- Critical workflows mapping
- Internal controls evaluation
- Compliance framework assessment
- Risk scoring and vulnerability prioritization
- Final report with a remediation roadmap
Anti-fraud tools implementation
Our team helps to select and implement enterprise fraud platforms, payment fraud tools, and authentication solutions from vendors like FICO, Actimize, and Feedzai. We handle configuration, integrations, and workflow setup aligning it with your fraud scenarios, investigation processes, and risk policies.
- Connecting services to internal and external data sources
- Integration with banking systems, payment gateways, and CRMs
- Vendor tools customization and setup
- Fraud detection rules configuration and AI/ML models tuning
- Alerting and investigation workflows design
Data science and AI consulting
We define where data science and AI can deliver measurable business value and prepare your organization for successful AI adoption. Our AI engineers design scalable AI architectures, so you can reduce fraud risks through anomaly detection and predictive monitoring.
- Selection of the most impactful and feasible use cases
- Evaluating enterprise data to define gaps and risks
- Advisory on ML architecture and technology selection
- Recommendations on BI tools and data visualization strategies
- AI model governance framework design
Custom fraud-detection platform development
SoftTeco designs and builds custom fraud prevention tools and systems when existing products cannot meet business or technical requirements. Independently or within a team augmentation model, we provide specialized engineering, data, and architecture expertise to reduce your delivery risks.
- Fraud detection logic design
- Data pipeline development
- ML model training and integration
- Testing to reduce false positives/negatives
- Real-time transaction scoring and event processing
Fraud detection system optimization
Examining your payment fraud detection system allows us to find behavioral anomalies, emerging fraud threats, and new channels of financial fraud. We optimize fraud detection strategies, improve risk decisioning flows, and adjust fraud controls to reduce losses.
- Predictive models calibration
- Risk scoring methodology refinement
- Fraud rules and scoring models optimization
- Real-time fraud decision process enhancement
- Detection coverage and false positive rates identification
Fraud operations automation
Whether it is alert generation, triage, or investigation, we replace recurring manual activities with automated workflows to reduce operational effort and ensure consistency. Our experts implement AI tools, redesign processes, and secure integrations for smooth data exchange.
- Prioritization automation with predefined business rules
- Automated case management across their lifecycle
- Elimination of manual data gathering via integrations
- AI-powered recommendations implementation
- Automation effectiveness monitoring
Banking fraud call defence implementation
Our anti-fraud experts help businesses secure their users from caller ID spoofing. We implement features that allow apps to identify and display warnings about phone calls from spoofed numbers posing as participating financial apps.
- Cryptographic call verification adoption
- Scam call risk scoring engine building/integration
- On-device AI inference engine development
- Behavioral analytics module engineering
- Bank call authentication API design
Reduce fraud losses and ease compliance with our anti-fraud consulting services.
Anti-fraud solutions we deliver
01
Fraud platforms
We build comprehensive, all-in-one platforms that detect, investigate, and prevent anomalous activities. With features like real-time monitoring, case management, decisioning, analytics, and reporting, you get a system that helps to reduce losses, investigation time, and false positives.
02
Rules engines
Define and manage your fraud policy using configurable business logic. Rules engines analyze transaction, user, device, and behavioral attributes against predefined conditions to detect payment, identity, and banking fraud. You get a custom solution that can rapidly respond to emerging fraud patterns without code changes.
03
Risk-scoring engines
Risk analytics engines use account activity, user behavior, device, and identity signals to calculate a fraud score for each transaction. You can set dynamic decision thresholds and integrate engines with ML models, while score logic will remain fully explainable. The solutions improve decision accuracy, making it consistent, explainable, and real-time.
04
Fraud data platforms
SoftTeco creates custom repositories that collect, unify, and enrich fraud-related structured and unstructured data from multiple sources. We build real-time and batch pipelines, identity resolution workflows, and device and user profiling systems, so you always have a centralized view of your fraud-related data and a strong foundation for ML models.
05
ML detection models
A specialized ML model trained on your data enhances risk management by detecting more complex fraud patterns that traditional rules engines may miss. Fraud detection algorithms increase detection rates, adapt to evolving fraud tactics, and reduce manual effort, therefore reducing costs through improved accuracy and efficiency.
How we build fast
AI-accelerated development
With AI-assisted development, we reduce time to delivery by up to 50%. Fraud logic remains human-owned, and all the decisions are transparent, explainable, and traceable.
Established technology foundations
We do not reinvent the existing tech, but strategically assemble production-proven components into a cohesive system to avoid duplicating effort and reduce development costs.
Selective build-and-integrate approach
SoftTeco develops fraud intelligence, decisioning layers, and case management workflows to deliver competitive value, while integrating leading third-party components to support standard functionality.
Our anti-fraud projects
Anti-fraud consulting for an Asian bank
Our fraud prevention experts provide a gap analysis for a commercial bank, unveiling current inefficiencies, key risks, and no-control zones. To accomplish this, we interviewed key bank departments, including compliance, risk, IT, and operations, to define processes and requirements. The final report described the AML/CFT architecture, including its key components, the Customer Due Diligence (CDD) framework, and the Know Your Customer (KYC) approach. Additionally, our team defined the compliance documentation that needed to be developed.
Mobile security app for user device protection
SoftTeco upgraded iOS and Android mobile security apps that safeguard users against common cyber threats, including fraud calls, MITM attacks, and spam campaigns. The solution supports VPN, monitoring for possible data breaches, and inspecting Wi-Fi connections for security risks. Our team enhanced the apps with CallProtect and SmartNetwork features, added CSID to the Dark Web Monitoring feature, and integrated analytics and telemetry systems without disrupting the app’s complex logic.
AI-driven fraud: the new security challenge
I haven’t seen such huge growth in all kinds of scams, fraud, or cyber intrusions before. This year, it looks like a booming number of frauds in Latin America and particularly in Brazil, where we help our partner deliver a project. And as their number grows, anti-fraud solutions are becoming increasingly in demand in the market.
I think the growing number of fraud cases is linked to AI capabilities, even if Anthropic and OpenAI try to prevent their models from participating in hacks; anyway, there are ways intruders find to bypass that protection, so it becomes much easier to hack different systems. On top of that, now, at almost zero cost, one can build an AI copy of any website, so the potential for scams rapidly increases.
In this landscape, businesses should consider fraud prevention as a strategic investment, rather than a simple security measure. The price for fraud prevention is often far lower than the cost of recovering customer trust after an incident.
Specialized fraud prevention system components
Real-time transaction risk and decisioning engine
Digital banks, fintechs, and ecommerce businesses use them to score every transaction or login event in real time for payment fraud and account takeover. We develop APIs that stream such events, then build the decisioning engine around it using supervised models, business-editable rules engines, and other relevant tech.
- Pilot on client data in 8–12 weeks
- Tailored to your fraud patterns and your data
- Explainable, auditable scores with reason codes
Synthetic-identity and fraud-ring detection
We combine an entity-resolution and graph layer to build a specialized component that helps businesses to reduce fraud losses. It links applications, accounts, devices, addresses, phones, and payment instruments to expose scam calls and synthetic identities that per-record rules and single-transaction scores never see.
- Ring-detection prototype in 6–8 weeks
- Explainable link evidence investigators
- Catches network/ring/synthetic fraud
Embedded on-device protection SDK
Telecom operators, banks, fintechs, or any business with a consumer app can safeguard their customers by embedding a lightweight SDK in their app. It screens incoming calls against a continuously updated scam/fraud database, flags spoofed and fraudulent in-app scam/ATO warnings.
- Tailored SDK in approximately 3–6 months
- Real-time and offline-tolerant
- Protects the end user directly
Verified bank-call protection with IVR context
For institutions whose employees get impersonated by scammers over the phone, a solid protection layer becomes a must-have. We develop solutions that verify a genuine incoming call from the bank and kill spoofed impersonators. Moreover, if the call is real, the system provides a trusted, contextual screen for the user.
- Core verified-call and IVR context delivery in approximately 3–5 months
- Not gated – you own it and the data without vendor lock-in
- Works without waiting for STIR/SHAKEN to reach every network
01 / 08
Why choose SoftTeco for anti-fraud consulting
Vendor-neutral approach
We advise you on anti-fraud systems without relying on a specific company. Our consultants use objective criteria, focusing on your business case and technical requirements.
Compliance-aware by design
We consider regulatory requirements from the very beginning, providing support for AML/KYC processes, audit trails, data retention policies, and security controls throughout the solution.
End-to-end development
You don’t need separate teams for different tasks – we have the required expertise under one roof, from data engineering and ML to real-time backend development and SDK engineering.
Quick launch
It takes us just 5 days to start the project, and 6–8 weeks for an MVP delivery. Timelines may vary depending on project scope, data availability, and integration complexity.
Technologies we use
Backend
Frontend
iOS
Android
Cross-Platform
SQL
NoSQL
Cloud solutions
DevOps
Machine learning, AI,
data science, big data
Salesforce
CMS
QA automation
Anti-fraud software delivery workflow
Step 1. Project analysis
We identify your business objectives, assess the core fraud scenarios and types, review data sources, and examine regulatory constraints. In 1–3 weeks, you’ll receive a roadmap outlining the high-level target architecture requirements, risk-scoring approach, and recommendations.
Step 2. Data readiness and system design
Our team profiles internal and external data sources, assesses data quality and completeness, and reviews data governance requirements . You get the initial event and decision flow diagrams, end-to-end data flow design, and logical system architecture for fraud detection.
Step 3. PoC development
To validate the selected fraud detection strategy, we build a PoC before full-scale development. It takes 4–8 weeks to complete, with core activities including setting up the prototype data pipeline, building the initial scoring mechanism, and integrating selected data sources.
Step 4. Full-scale development and integration
Now we move towards a production-ready system, delivering the full solution. Our engineers expand fraud-detection logic, implement real-time and/or batch-processing pipelines, and integrate with enterprise systems using a staged validation and deployment approach.
Step 5. System monitoring and support
Finally, we establish system monitoring tools and processes to track availability, check fraud-detection accuracy, and evaluate model and rule performance. You get regular optimization and tuning recommendations, robust metrics tracking, and full operational support.
Testimonials
I would like to thank SoftTeco for the exceptional quality of services and for their impressive dedication to work. The product perfectly matches our vision and I would definitely work with them again.
