Digital fraud is on the rise. According to the Global State of Scams 2025 report, 57% of adults worldwide encountered a scam in the past year, and nearly one in four victims lost money.

For organizations, the biggest challenge in reducing fraud is the lack of visibility. Most fraud happens outside company infrastructure, with alerts firing only after a suspicious transaction or account compromise.

To remediate the problem, organizations must rethink how and when defenses engage when it comes to possible fraud. Here are three essential capabilities organizations need to build a stronger and more proactive fraud prevention strategy..

1. Preemptive Intervention Before Fraud Occurs

Fraud defenses are ineffective if they activate only after an attack has taken place. Yet, the traditional fraud controls most organizations have rely on signals that trigger later in the attack lifecycle. This gap between the initial exposure and detection is all the time criminals need to extract credentials or commit financial fraud.

The research firm Frost & Sullivan, in collaboration with Memcyco, released a report that highlights how organizations must be able to detect and disrupt impersonation and credential-harvesting attacks during the exposure window.  

To make that shift, companies need security controls that identify fraudulent websites and impersonation infrastructure targeting their brand before victims submit credentials or interact with malicious content. Platforms like Memcyco aim to provide that early visibility and preemptive approach as a crucial extension to existing detection controls. 

With fraud campaigns becoming more sophisticated and quicker to deploy, organizations that extend fraud protection into these earlier stages of the attack lifecycle are far better positioned to prevent account takeovers, protect customer data, and reduce financial losses.

2. Strong Transaction and Behavior Monitoring

Unusual transactions and user behavior are the first signs of potential fraud, so they require continuous, real-time monitoring to detect suspicious activity before it escalates. 

To help with that, organizations can rely on analytics and machine learning systems that evaluate patterns across user sessions and financial activity to identify signals that may indicate fraud. 

Sift is a great example of such a solution. Its platform analyzes user behavior and transaction data in real time to notify organizations as soon as it detects any suspicious pattern or anomaly.

The earlier security teams get notified about potential fraud, the quicker the response, and the lesser the impact. The only way to do that practically in environments with hundreds or even thousands of users, accounts, and devices is to rely on automated monitoring and detection systems. 

Log retention also plays an important role in this process. More detailed logging, combined with longer retention periods, provides better visibility for security teams, allowing them to more accurately detect suspicious activity and conduct thorough investigations when fraud incidents do occur.

3. Visibility Into External Fraud Infrastructure

Fraud campaigns do not start inside an organization’s systems. Attackers build external infrastructure designed to impersonate legitimate brands or users to deceive victims without any prior interactions with company platforms.

The most common examples of this infrastructure include fake login portals, cloned websites designed to capture credentials or payment information, look-alike domains that closely resemble official company URLs, and impersonated customer support pages used to trick users into sharing sensitive data.

Attackers are spinning up this infrastructure in record numbers. Between May 2024 and April 2025, researchers identified more than 1.5 million unique domains used for phishing, a 38% increase compared to the previous year.

However, these assets often exist for days or even weeks before attackers begin actively targeting victims. This gives defenders enough time to react, but only if they have the visibility and monitoring capabilities needed to detect these threats early.

Luckily, there are several technologies organizations can utilize to gain actionable visibility into the external threat landscape. Threat intelligence platforms like Recorded Future, for example, help organizations track emerging threats and indicators associated with phishing campaigns, impersonation attempts, and malicious infrastructure.

Additionally, domain monitoring and brand protection services can quickly detect lookalike domains or other impersonation infrastructure and take it down before any phishing activity occurs.

Conclusion

Automation and impersonation are the two keywords driving the surge in digital fraud. Many organizations are left vulnerable, simply because they don’t have the visibility or controls needed to detect and disrupt these attacks before they reach their customers.

By combining preemptive response measures, behavioral monitoring, and external threat visibility, organizations can take back control over their susceptibility to fraud and prevent attackers from exploiting gaps between exposure and detection.