Banks are increasingly looking beyond internal account data to better understand fraud risks and customer behavior across digital finance ecosystems. Plaid’s latest Bank Intelligence expansion reflects the growing demand for predictive, network-driven financial infrastructure.
Plaid has expanded its Bank Intelligence platform with a new suite of fraud prevention and customer retention capabilities designed to provide financial institutions with a broader view of customer behavior across the digital finance ecosystem. The update introduces new network-driven signals that allow banks to identify fraud risks earlier while also gaining insight into customer loyalty and deposit migration trends.
The expansion reflects a growing challenge for financial institutions: while banks maintain visibility into activity occurring inside their own systems, they often lack awareness of what customers are doing across external apps, fintech platforms, and competing financial institutions. By leveraging insights derived from hundreds of millions of connected accounts across its network, Plaid is positioning Bank Intelligence as a way for institutions to move from reactive decision-making toward real-time, predictive financial intelligence.
Using network intelligence to detect fraud before it escalates
One of the key additions to the platform is the Connection Risk Score, a machine learning-driven tool that evaluates the risk level of a third-party app connection attempt in real time. The system analyzes network-wide behavioral patterns and transaction signals to determine whether a connection appears legitimate or potentially suspicious. This enables banks to make more precise decisions during the account-linking process, allowing low-risk users to connect seamlessly while escalating higher-risk activity for additional verification.
Plaid is also introducing Network Alerts, a feature designed to address the growing problem of account takeover fraud. Rather than viewing fraud as an isolated incident within a single institution, the system treats financial compromise as a network-level event. When suspicious activity is detected, Plaid can notify multiple institutions connected to the same customer, helping fraud teams respond before attackers move across linked accounts and services. This coordinated approach reflects the increasingly interconnected nature of modern digital finance, where threats often spread rapidly between platforms.
Helping banks identify churn risk and strengthen customer relationships
Beyond fraud prevention, Plaid’s expanded Bank Intelligence platform introduces new tools focused on customer retention and relationship analysis.
The new Retention Score is designed to predict direct deposit churn risk before customers fully transition activity to competing institutions. Instead of relying solely on historical internal account data, the model uses anonymized behavioral signals across the Plaid network to identify patterns associated with declining engagement. Alongside this, Plaid launched a Primacy Score, which measures how central a financial institution is within a customer’s broader financial ecosystem. The score evaluates factors such as connection depth, competitive positioning against other financial apps, and overall engagement consistency. Together, these insights allow banks to better prioritize customer relationships and allocate retention resources more strategically. For example, a customer with high account primacy but increasing churn risk may represent a critical relationship requiring immediate intervention, while lower-value relationships can be managed more efficiently without unnecessary retention spending. The overall objective is to help financial institutions operate with a more holistic understanding of customer behavior in an increasingly fragmented financial environment.
Positioning Plaid as intelligence infrastructure for digital finance
The expansion of Bank Intelligence further strengthens Plaid’s positioning beyond simple account connectivity and data aggregation.
As fintech ecosystems become more interconnected, financial institutions increasingly require infrastructure capable of delivering:
- real-time behavioral insights
- predictive fraud intelligence
- cross-platform customer visibility
- network-level risk analysis
Plaid’s advantage comes from the scale of its network, which connects thousands of financial institutions and powers integrations across more than 8,000 digital financial applications. By turning this network data into actionable intelligence products, Plaid is building toward a future where financial institutions can understand not only what customers do internally, but also how they behave across the broader financial ecosystem.
About Plaid
Plaid is a financial infrastructure and data network provider that enables consumers to securely connect financial accounts to digital applications and services. The company works with thousands of financial institutions and powers connectivity for more than 8,000 apps across payments, lending, investing, and personal finance. Headquartered in San Francisco, Plaid focuses on building infrastructure that supports a more open, connected, and data-driven financial system.
