Preventing fraud has never been this difficult, thanks to many evolving fraud tactics that continuously push companies for better protection. However, can these new fraud prevention trends finally block their advance?
But first, let’s take a look at some insights from last year’s Global Fraud Report. About 77% of fraud prevention experts claim to have seen a significant increase in sophisticated fraudsters in the last 12 months.
While today’s landscape seems to be a concern, new technologies can still be used as many ways of preventing frauds. Knowing what to expect and prepare for will be the best starting move for any company in order to stay ahead.
Why is Fraud Prevention More Critical than Ever?
Fraud prevention is not just a tool anymore, but rather, a key that determines the future of a company. This is because the importance of fraud prevention has steadily increased over time due to these reasons:
- Fraudsters continue to evolve even more advanced fraud tactics. Thanks to the emergence of generative AI, they can pair real people’s information with fake personal identities to bypass fraud prevention.
- The resurgence of cybercrime-as-a-service helps to grow more fraudsters. These illegal tools can be used to commit mass fraud for other criminals. As a result, they can overwhelm companies by sheer number.
- Companies face more pressure of compliance and regulatory practice. In hopes of combating fraudsters, the government may push companies to implement complex and stronger anti-fraud systems.
At the same time, many well-known frauds, such as ATO (account takeover), payment fraud, and check fraud, stay on top of the latest fraud trends. Therefore, having better fraud prevention is more critical to ensure companies avoid risks from these trends.
5 Fraud Prevention Trends for 2025
Knowing the dangers of these latest fraud trends, how do companies stay committed to protect their businesses? Fortunately, these trending prevention tools might be just what they need to combat fraudsters:
AI-Driven Behavioral Analytics
One of many ways of preventing frauds is AI-driven behavioral analytics, and it’s more than just data collection. With the ML algorithms, companies can train artificial intelligence to understand pattern recognition, turning it into a powerful detector.
If the system identifies an unusual behavior from the data models, it can flag them as a potential threat. The major difference is AI can detect anomalies in user behavior at a faster rate, allowing immediate response and preventing fraud from causing damage.
Device Intelligence & Fingerprinting
Device intelligence is real-time analytics to analyze the user’s device, ensuring that only legitimate users can access the services. This fraud prevention tool uses many components in order to work, such as:
- Device fingerprinting, giving a unique identifier based on the device’s various configurations and systems.
- Location intelligence, allowing the tool to indicate the user’s authentic location based on their location-specific patterns.
- Detectors to detect many elements that can be a potential fraud indicator, like the usage of VPNs, emulators, rooted devices, and even remote access tools.
Risk-based Authentication (RBA)
Companies can also use risk-based authentication to protect their business in 2025. This is an adaptive authentication process that applies various authentication factors based on the level of risk the user possesses.
The risk indicators can be based on various things, like the user’s device, geographic location, transaction value, or even the presence of VPNs and malware on the device. A higher risk score means more authentication processes or even access denied.
Invisible Multi-factor Authentication (MFA)
MFA has been used for years; therefore, the upgrade to this tool is long overdue. Now, without a user’s output, invisible MFA can be a much more powerful fraud prevention tool that uses these advanced technologies to give a frictionless experience:
- Behavioral biometrics. Verification can be based on the user’s touchscreen or keystroke interactions, allowing machine learning algorithms to determine behavioral patterns to confirm legitimacy.
- Contextual analysis. This technology works just like device fingerprinting, where it uses device characteristics and geolocation to determine whether the user needs an additional authentication check or not.
- Device trust. On top of contextual analysis, the user’s device can be further examined for its health, integrity, and compliance with security policies.
- Continuous authentication. The authentication process of checking behavior and contextual analytics will be performed continuously, ensuring legitimate access with minimal disruption for users.
Real-time Fraud Orchestration Platforms
An all-in-one platform to prevent fraudulent activities more effectively sounds like a good idea. This is where real-time fraud orchestration platforms play their role, where they use real-time data orchestration to provide a unified view of user behavior.
Some platforms can also allow companies to perform a continuous risk assessment, viewing customer journeys based on trust and risk. These data then can be transformed to usable insights that can help to detect a complex and evolving fraud.
Preparing for 2025: How Business Can Stay Ahead
Following fraud prevention trends explained above should help businesses to prepare for 2025, but is it all they can do for now? To stay ahead of these continuously evolving fraud tactics, there’s more that they can do:
Conduct Fraud Risk Assessments Regularly
A fraud risk assessment isn’t just something companies do annually. Since fraud evolves at an alarming rate, it is a wise idea to assess the risk more often.
The assessment needs to feature potential fraud risks, the likelihood of occurrence, how it impacts the business, and how to respond to the fraud risks. This can help companies stay ahead not only of evolving fraud tactics but also of regulatory compliance.
Train Internal Teams and Align Fraud and UX Strategies
Since employees can potentially fall victim to fraud as well, companies need to know how to prevent corporate fraud. Training internal teams about fraud awareness can help prevent many threatening frauds.
As for the users/customers, UX (user experience) also plays a vital part in cybersecurity. Aligning UX strategy and fraud with AI and machine learning can enhance their experiences while, at the same time, making businesses stay ahead.
Invest in Scalable, Integrated Fraud Solutions
Companies can also rely on third-party fraud prevention solutions to combat fraud, such as Keypaz. Keypaz can help companies stay ahead with current trends in fraud and its detection, thanks to its device intelligence and real-time risk detection.
On top of that, Keypaz is also a flexible and scalable fraud prevention solution that suits any kind of business. With integrating Keypaz into your business, there will be no problem for companies to follow fraud prevention trends in 2025 and forward.