I find SAS Fraud, Anti-Money Laundering & Security Intelligence intuitive and easy to use, and users don’t have a large learning curve. I like how easy it is to configure workflows for different users and investigators, and to segregate responsibilities so sensitive information, including staff incidents, isn’t shared. I find it helpful for meeting SLAs for EDDs, completing reviews on time, checking that everything is done correctly, and automating nine-month reviews. It also makes it easier to back up information. I like that it checks for an existing case on the same account before creating a new alert or case, which helps avoid duplicate alerts and lets the user choose whether to continue or stop. Calibrating workflow rules is easy, and the approval steps and audit trail help provide accountability, especially for sensitive cases. Review collected by and hosted on G2.com.

I think users could handle more of the operations themselves, like calibrating rules, instead of needing a developer to fix and test them behind the scenes. It would help to test rules online, check for false positives, and get admin approval before applying them. I also see a possible use for AI in repetitive processes and reviews. The initial setup wasn’t easy and had a learning curve, though moving from SAS Enterprise Case Management to SAS Viya was seamless. Review collected by and hosted on G2.com.

What I like best about SAS Fraud, Anti-Money Laundering & Security Intelligence is that it keeps fraud and AML-related information organized in one clear place. The interface feels professional and makes it easier to review alerts, risk indicators, customer details, and investigation notes without jumping between too many different sources. I also like that it supports integrations with different data sources, which helps make the review process more complete. Performance is generally stable, even when reviewing detailed cases or reports. From a pricing and ROI perspective, the value comes from saving time, reducing manual work, and helping teams focus on the highest-risk cases first. The support and onboarding are also helpful because the platform has many features, so guidance is important for new users. The AI and intelligence features are useful because they help prioritize alerts and identify patterns faster, while still allowing the user to review and make the final decision. Overall, it improves visibility, saves time, and supports better compliance and security-related decisions. Review collected by and hosted on G2.com.

What I dislike is that the platform can feel a little complex at first because there are many alerts, menus, and investigative details to review. in my company, the system is useful, but some workflows could be more intuitive for new users. Performance is generally stable, though larger searches or reports may take longer depending on the amount of data. The AI and risk scoring features are helpful, but I would like clearer explanations behind some alerts so users can understand the reason faster. Overall, it is a strong tool, but simpler navigation and more guidance inside the platform would improve the experience. Review collected by and hosted on G2.com.

What I appreciate most about SAS Fraud, Anti-Money Laundering & Security Intelligence is its ability to combine advanced data analysis, artificial intelligence, and risk management to detect and prevent fraudulent activities in real time. Review collected by and hosted on G2.com.

Honestly, I wouldn't say there's an aspect I dislike. However, as with many advanced solutions for combating fraud and money laundering, one of the challenges can be the complexity of implementation and the need for quality data to fully leverage the platform's potential.

That said, I view this more as a challenge than a disadvantage. Once properly configured and powered by reliable data, the solution can provide real added value in terms of risk detection, compliance, and operational efficiency. Review collected by and hosted on G2.com.

I appreciate the platform's ability to monitor 100% of transactions in real-time with high accuracy. Its advanced machine learning significantly reduces false positives, allowing our team to focus on genuine threats while streamlining regulatory compliance and case management workflows. Review collected by and hosted on G2.com.

The initial setup and integration process can be quite complex and time-consuming, requiring significant technical expertise to configure properly. Additionally, some users have noted limitations in the maximum number of rules allowed (such as the 3000 rule cap) and occasional latency when processing extremely large datasets. Finally, the system sometimes generates a high volume of low-priority alerts, which can make filtering for genuine threats more labor-intensive than desired. Review collected by and hosted on G2.com.

What I like best about SAS Fraud, Anti-Money Laundering & Security Intelligence is its ability to consolidate large volumes of transactional data and identify suspicious patterns using advanced analytics. The platform provides robust rule-based and analytical capabilities that help organizations detect fraud, monitor AML risks, and support regulatory compliance. I also appreciate its flexibility in handling complex use cases and the depth of reporting available for investigators and business stakeholders. For large financial institutions, it offers a scalable solution that can be tailored to evolving regulatory and fraud detection requirements. Review collected by and hosted on G2.com.

One drawback is that the platform has a relatively steep learning curve, especially for new users who are not familiar with the SAS ecosystem. Some configuration and customization activities can require specialized expertise, and certain workflows or interfaces feel less modern compared to newer cloud-native solutions. Performance can also be impacted when working with very large datasets if the environment is not properly optimized. While the platform is extremely powerful, it generally requires experienced teams to unlock its full capabilities. Review collected by and hosted on G2.com.

I like SAS Fraud, Anti-Money Laundering & Security Intelligence for its powerful analytics combined with real-time decision-making, which helps us identify potentially fraudulent transactions without slowing down legitimate orders. This capability keeps the customer experience positive. I appreciate the flexibility of the rules engine and risk scoring, which allows us to adapt to changing fraud patterns without constantly rebuilding workflows. The biggest advantage is the reduction in manual efforts, giving us more confidence that we are protecting our business and customers without being disruptive to the customer experience. I value real-time fraud detection, customizable rules engine, risk scoring, and case management tools as they are highly beneficial to our operations. The risk scoring is especially useful since it provides context for each flagged transaction, making it easier to prioritize reviews and make informed decisions. The flexibility of the rules engine is another aspect I appreciate, as it lets us fine-tune detection criteria as fraud patterns evolve. The case management functionality streamlines investigations by organizing alerts and supporting collaboration across our operations team. Finally, the reporting and analytics dashboards provide valuable insights into fraud trends, chargeback patterns, and overall fraud performance. Review collected by and hosted on G2.com.

Would like to see more out-of-the-box dashboards and reporting templates tailored for ecommerce businesses. Current reporting capabilities are comprehensive and robust, but creating custom reports can be time-consuming. More pre-built reports would be helpful. There are common fraud and chargeback metrics that many businesses use. Would be great if those were some of the pre-built options. Would also like easier integrations and easier configuration for third-party ecommerce platforms. Review collected by and hosted on G2.com.

I find the functionalities of SAS Fraud, Anti-Money Laundering & Security Intelligence like profiling, transaction scoring, rule authoring, rule execution, and transaction decisioning incredibly valuable. These features are crucial for my work, allowing me to author and deploy defenses for emerging fraud trends in near real-time. The product's high-availability architecture with 99.99% uptime, along with its horizontal and vertical scalability, stands out for me. Additionally, it enables the development, testing, and deployment of models that score transactions in real-time and includes the ability to create reusable velocity and temporal variables for fraud detection. Review collected by and hosted on G2.com.

I find the maintenance and upgrade process requires too much time and effort. Typically, it takes an initiative that spans 6-9 months from start to finish. I wish for the ability to bundle smaller maintenance fixes and automatically deploy them through CI/CD pipelines. Review collected by and hosted on G2.com.

It applies rules, models, and analytics to transactions and customer behaviour. It helps identify unusual patterns that may indicate fraud, and it generates alerts and cases for further investigation. Review collected by and hosted on G2.com.

What I dislike most is the complexity of the platform and the effort required to develop, test and maintain fraud detection rules and processes. Troubleshooting can also be challenging when issues involve multiple data sources, jobs or downstream dependencies. Review collected by and hosted on G2.com.

I love all the features of SAS Fraud, Anti-Money Laundering & Security Intelligence, especially the real-time monitoring and the ability to get data quickly in prepared reports. These features help me make firm decisions on suspicious activities. The system also helps detect suspicious transactions, prevent fraud, and identify money laundering risks while ensuring compliance with regulatory requirements. It has improved operational efficiency in our business by reducing manual work needed to identify and coordinate with other apps. Review collected by and hosted on G2.com.

As a regular user, I don't find much room for improvement, but for new users, it initially feels overwhelming and complex. It might require training and reference modules to get started more easily. Setting it up was moderately easy, but again, a training or reference guide would be helpful in the process. Review collected by and hosted on G2.com.

I use SAS Fraud, Anti-Money Laundering & Security Intelligence for our retail store environment and POS devices. It helps me meet compliance, improve security monitoring, and provides data-driven analytics. I definitely like the fraud detection and prevention features, especially with the rise in fraud activities like credit card fraud, identity theft, account takeover attacks, insurance fraud, and ACH/wire fraud. The initial setup was fairly seamless. Review collected by and hosted on G2.com.

I find there are too many false positives, which leads to wasted time that could be better spent reviewing legitimate transactions. I think better data integration could help with this. Review collected by and hosted on G2.com.