Financial institutions lose $30-40 billion annually to fraud, with attacks becoming more sophisticated and harder to detect. Traditional defenses struggle to identify coordinated fraud rings, synthetic identities, and authorized-but-fraudulent transactions.
Our approach:
Excessive false positives and rigid security measures create unnecessary friction for legitimate customers, leading to abandoned transactions and decreased satisfaction. Many institutions inadvertently block 15-20% of legitimate transactions in their efforts to prevent fraud.
The solution provides:
Traditional security approaches detect new fraud schemes only after significant losses occur, creating persistent vulnerability to emerging attack methods. The typical financial institution identifies new fraud patterns 45-60 days after they begin.
Our intelligence systems deliver:
Fraud and security teams waste valuable time investigating false positives, gathering case evidence, and managing disconnected security tools. These inefficiencies typically consume 50-60% of security resources that could be directed toward strategic protection.
Our unified approach provides:
Financial institutions struggle to demonstrate adequate fraud prevention and security measures during regulatory examinations, resulting in findings, penalties, and mandatory remediation. Compliance deficiencies typically occur due to fragmented security approaches and inadequate monitoring evidence.
Organizations gain:
A mid-sized German payment gateway with 180 employees processing approximately €700-800M in annual transactions, active in 6 EU markets.
A traditional Spanish insurance provider with 85 years of history, 950 employees, and €280 million in annual premiums across home, auto, life, and commercial lines.
A fast-growing UK-based mobile payment application with 165 employees processing approximately £1.3 billion in annual transaction volume with around 700k active users.
A mid-sized German payment gateway with 180 employees processing approximately €700-800M in annual transactions, active in 6 EU markets.

Stop fraudulent activities before they impact financial results with intelligent detection that identifies suspicious patterns across all channels and products. Financial institutions typically reduce fraud losses by 75-85% within the first year of implementation, directly improving bottom-line performance.

Protect legitimate customers while minimizing security friction through intelligent, risk-based controls that adapt to individual user patterns. Organizations see 15-25 point increases in NPS scores related to security and fraud handling, strengthening customer relationships and retention.

Accurate alerts, automated case building, and streamlined workflows eliminate wasted investigative resources. Security and fraud teams achieve 60-70% greater operational efficiency, allowing staff to focus on strategic protection rather than routine alert processing.

Meet and exceed financial security requirements with comprehensive protection, monitoring, and documentation aligned with industry frameworks. Organizations achieve 99%+ compliance with relevant security regulations while simplifying the audit and examination process.

Transform security from a cost center into a market advantage by offering protected financial services that inspire customer confidence. Financial institutions with superior security protection typically see 20-30% higher customer acquisition rates in security-sensitive segments.
The engagement begins with a comprehensive evaluation of your security posture, fraud patterns, and specific risk factors. This assessment identifies protection gaps, vulnerability points, and implementation priorities based on your business model and threat landscape.
A tailored security architecture addresses your specific risks while seamlessly integrating with existing systems and workflows. The design phase establishes data sources, integration points, alert workflows, and performance metrics aligned with your operational requirements.
The solution uses secure API connections to your core financial systems, transaction processors, and customer channels. Data integration establishes the foundation for comprehensive monitoring while ensuring security and privacy compliance.
AI detection models undergo supervised training using your historical data to establish baseline patterns and risk parameters. This calibration process optimizes detection accuracy for your specific customer behaviors, transaction patterns, and business operations.
Rigorous testing verifies system performance across all fraud scenarios, transaction types, and edge cases. This validation confirms detection accuracy, system responsiveness, and workflow functionality before full production deployment.
The solution deploys through a controlled rollout process with close performance monitoring and refinement. Ongoing optimization leverages emerging threat intelligence and performance metrics to continuously strengthen your security posture against evolving risks.
The Aspagnul team combines deep expertise in financial fraud, cybersecurity, and regulatory compliance specific to banking, payments, and investment operations. This specialized knowledge ensures that our solutions address the unique security challenges rather than applying generic security approaches that miss industry-specific threats.
Our team includes former financial security executives, fraud investigators, and regulatory compliance specialists who understand technical vulnerabilities and business operations in the financial sector.
Aspagnul maintains one of the most extensive financial threat intelligence networks, analyzing over 1 billion transactions monthly across global financial institutions. This intelligence provides early warning of emerging fraud schemes and attack vectors before they impact your organization.
Our network identifies new financial threats 45-60 days before they appear in public threat feeds, providing critical protection during the most damaging early phases of new attack methods.
Our platform is built specifically for financial institutions’ stringent security and compliance requirements. The infrastructure maintains ISO 27001, SOC 2 Type II, and PCI DSS certifications, with bank-grade encryption, access controls, and audit capabilities.
This purpose-built architecture provides the security, reliability, and compliance documentation that financial operations demand, validated through regular penetration testing and security audits.
Our implementation approach delivers initial protection improvements within 4-6 weeks while completing full deployment in 10-12 weeks for most financial institutions. This efficiency stems from pre-built integrations with major financial platforms and optimized implementation processes refined across hundreds of deployments.
Financial institutions achieve protection benefits quickly without the extended timelines typically associated with security implementations.
Aspagnul provides clearly defined performance guarantees based on fraud reduction, false positive rates, and detection accuracy metrics established during the assessment phase. This accountability includes financial compensation for any performance shortfalls, demonstrating our confidence in delivering measurable security improvements for every client.
Traditional fraud systems generate excessive false positives because they rely primarily on rigid rules that cannot adapt to legitimate but unusual transactions.
Our approach combines multiple detection layers—machine learning, behavioral analytics, and contextual analysis—to distinguish suspicious activities from legitimate variations.
Our solution is designed to complement and enhance your security investments rather than replace them.
The platform connects with all major financial systems, including core banking platforms, payment processors, digital banking solutions, and existing security tools through secure API integration.
Financial fraud evolves continuously, with new techniques emerging weekly.
Our protection remains current through three complementary approaches: 1) a global threat intelligence network that identifies new patterns across our client base, 2) specialized fraud research teams that proactively hunt for emerging schemes in underground forums, and 3) adaptive AI models that identify anomalies before they’re recognized as specific attack patterns.
Three fundamental differences separate our approach from conventional vendors.
First, we focus exclusively on financial security rather than general fraud prevention, providing detection models specifically trained on banking, payment, and investment fraud patterns.
Second, our architecture integrates fraud detection with cybersecurity intelligence, recognizing that modern attacks often combine multiple techniques across different channels.
Financial data security forms the foundation of our approach, with multiple protective layers including end-to-end encryption, data tokenization, access controls, and privacy-by-design architecture.
The solution operates within your security perimeter, with options for on-premises deployment, private cloud configuration, or hybrid models based on your security requirements.
Financial institutions typically see returns in four areas: direct fraud loss reduction (75-85%), operational efficiency gains (60-70% investigator productivity improvement), customer experience benefits (15-25% reduction in security-related attrition), and regulatory compliance value (65-75% reduction in remediation requirements).
We’re excited to hear from you and to start something special together.
Turn your financial operations with purpose-built AI solutions from Aspagnul that reduce costs, accelerate growth, and ensure regulatory compliance across financial institutions.