September 25, 2026 · 5min read
RiskOps in Brazil: Unifying Identity, Fraud, and AML in a New Risk Architecture
In recent years, Brazilian financial market leaders have launched several initiatives to modernize the nation’s banking systems, including Pix, Open Finance, and Banking-as-a-Service. While these measures have driven innovation, they have also introduced new risks for fraud and financial crime. Faced with these threats and constant regulatory demands, reliance on traditional systems built on disconnected tools and operational silos has become unsustainable for fraud prevention and compliance teams.
With payments moving faster than ever and regulations changing frequently, banks need a unified view of the customer journey. Feedzai’s RiskOps delivers this holistic view by integrating Identity, Fraud, and AML into a single, high-speed architecture. In this article, we’ll explore how RiskOps helps banks make more precise decisions without compromising efficiency or user experience.
Key Takeaways
- Organizational silos that separate identity verification, fraud prevention, and compliance/AML tools create blind spots, leading to slow response times, more false positives, and inconsistent risk decisions.
- Brazil’s instant payment system, Pix, accounted for 54.7% of all payment transactions in H2 2025, according to the Central Bank of Brazil.1
- The rapid speed of payments requires continuous real-time identity validation, fraud evaluation, and AML monitoring. However, organizational silos can create blind spots, leading to slow response times, more false positives, and inconsistent risk decisions.
- Feedzai RiskOps platform offers a unified architecture that integrates Identity (secure onboarding, digital trust), Fraud (banking transactions, acquiring risk), and AML (screening, transaction monitoring) into a single high-speed decision engine.
The 3 Major Risk Operations Challenges in Brazil
Let’s take a closer look at the three biggest challenges that Brazil’s financial institutions face today.
The High Cost of Organizational Silos
Historically, identity verification, fraud prevention, and compliance/AML operations have operated in silos. This fragmentation creates severe blind spots in daily operations: onboarding data does not reach fraud detection systems, suspicious transactional behaviors are not cross-referenced with the customer’s digital identity history, and AML alerts require analysts to switch between different platforms to reconstruct operational context.
This isolation slows operational response, creates inconsistent decision-making, and increases false positives that impact legitimate customers. To overcome this bottleneck, the industry’s challenge is not to collect more data. Instead, it should focus on connecting the right data at the right time to enable integrated, precise risk decisions.
The Blueprint for a World of Safer Money
A blueprint for stopping financial crime, from the leaders who are doing it. Perspectives from law enforcement, financial services, and policy leaders on fighting fraud, scams, and financial crime.
Pressure from a Dynamic Regulatory Environment
The Central Bank of Brazil (BCB) acts rigorously to ensure the safety of the National Financial System (SFN). Regulations such as Joint Resolution No. 6 (focused on mandatory fraud data sharing) and the evolution of Pix’s Special Refund Mechanism (MED 2.0), combined with strict AML/CFT guidelines, bring technical requirements and operational deadlines that are difficult to meet using rigid legacy systems.2
The Speed of Instant Payments
In the second half of 2025, Pix accounted for 54.7% of all payment transactions, totaling 42.9 billion transactions.1 With Pix transactions and card payments executed in milliseconds, the line between identity validation, transactional analysis, and anti-money laundering monitoring must be continuous. The defense needs to be as agile as the transaction itself.
Identity, Fraud, and AML are the New Risk Architecture
A modern RiskOps approach connects different dimensions of risk into a single view of the customer journey. Within the Feedzai platform, this approach is built around three fundamental pillars: Identity, Fraud, and AML.
Identity
Trust begins the moment a customer opens a relationship with an institution, but it does not end after account opening.
- Secure Onboarding: Orchestrates registration and document validation during account opening, helping identify risks such as synthetic identities and accounts used for illicit activities before activation.
- Digital Trust: Continuously monitors digital identity. Signals related to digital behavior and the devices used by the customer are analyzed throughout the journey. This identifies behaviors associated with account takeover, anomalous device usage, and other situations where the user’s digital identity may be compromised.
Identity should not be a one-time decision made during onboarding, but a continuous component of risk assessment.
Fraud
The second layer focuses on transaction protection.
- Transactional Fraud for Banking. Allows institutions to evaluate payments and transfers in real time by combining transaction history, customer behavior, and predictive intelligence to identify potentially fraudulent activity.
- Risk Management for Acquirers: Applies the same logic to the acquiring ecosystem, allowing institutions to monitor risk across their merchant base, identify anomalous behavior, and assess fraud risk and exposure to chargeback attacks.
In this context, decision-making capabilities must match payment speed.
AML: Connecting Compliance to Risk Operations
The third dimension is anti-money laundering and counter-terrorist financing (AML/CFT).
- Customer Screening: Performs checks related to sanctions, Politically Exposed Persons (PEPs), and watchlists during onboarding and throughout the customer relationship.
- Transaction Screening: Real-time verification focused on immediately blocking transactions linked to restricted or prohibited parties. Its goal is to check sender and beneficiary names against global sanction lists, PEP lists, and high-risk jurisdictions before the transaction is settled.
- AML Transaction Monitoring: A behavioral analysis that seeks to identify atypical activities over time. It enables transaction monitoring to detect behaviors potentially associated with illicit activities, such as structuring (smurfing), atypical movements, and resource concealment patterns.
The true value lies in connecting AML context to identity, device, and customer history data, revealing a complete picture of suspicious transactional behavior.
RiskOps Studio: Integrating Operations from Alert to Decision
RiskOps Studio serves as the platform’s unified operational layer:
- Strategy and Risk Engineering. Using low-code/no-code capabilities, strategists can create and test rules in a secure sandbox environment using historical data before going live. This reduces reliance on IT and enables rapid responses to new fraud or regulations.
- Alert Management and Analysis. Consolidates Identity, Fraud, and AML information into a single dashboard. Analysts gain the necessary context to prioritize critical cases, make consistent decisions, and trigger remediation workflows without switching between systems.
A Paradigm Shift for the Future of Risk
The continuous accumulation of point solutions has created an unsustainable complexity of fragmented data and rigid processes. RiskOps reverses this logic: instead of asking, “What tool do we need for this new problem?” the organization asks, “How can we connect data, decisions, and operations to manage risk more intelligently?”
The future of risk belongs to institutions that can integrate Identity, Fraud, and AML across the entire journey, turning data into decisions and actions as fast as the market changes.
Additional Resources
Footnotes
1 https://www.bcb.gov.br/detalhenoticia/21079/nota
All expertise and insights are from human Feedzaians, but we may leverage AI to enhance phrasing or efficiency. Welcome to the future.