How modular the workflows can be, the combination of factors to determine the score, and thus, achieve a higher level of confidence in identifying fraudulent users, ultimately helping to mitigate the issue of false positives. Review collected by and hosted on G2.com.

The ability to add specific rules per merchant is crucial. The requirements for the food industry are not the same as those for retail. Creating rules for different industries can be somewhat confusing for new users or those accustomed to different models. Not being able to have workflows per merchant is a limitation. Review collected by and hosted on G2.com.

I like the Sift interface because it is easy to navigate and very fast despite storing a lot of information. This is important for us, as we handle alerts from other systems and I have never noticed any delay. It connects all the information very quickly, which is crucial for reviewing where they connect and what they are doing on the platform. I also think it's great that the system can handle multiple instances without delays. Review collected by and hosted on G2.com.

I believe that the readability of the data is somewhat important, we use it mainly for logins, so there are times when it does detect as if it were a new device, but it's not a new device, rather the SDK disconnects for a while and that's why it registers it as if it were another device which is the same. Maybe something a bit easier to understand in that regard. On our side, I think they could improve their integration with the APIs so that we can connect more things, because without a doubt it could connect with some things. Although there is so much information it receives that I think it's a bit difficult. Review collected by and hosted on G2.com.

What I like best about Sift is how effectively it empowers me in my role as a Risk Investigator. The platform's machine learning models and real-time decisioning allow me to detect and act on suspicious activity quickly and with confidence. I also appreciate how intuitive and customizable the tools are—it helps streamline my investigations and focus on high-risk cases without getting buried in false positives. Sift’s commitment to innovation and collaboration makes it easier for me to stay ahead of evolving fraud tactics Review collected by and hosted on G2.com.

One area I think Sift could improve is in the granularity of data visibility and customization. While the platform is powerful, there are times when I need deeper insights into model reasoning or more tailored workflows to align perfectly with our internal processes. It would also be helpful to have more flexibility in creating investigation rules or alerts directly within the system. That said, Sift is always evolving, and I appreciate that feedback is often taken seriously and acted on. Review collected by and hosted on G2.com.

What I like most about Sift is that it does not impose any limitations on its use, providing great freedom to configure and adjust the systems according to our needs. Additionally, it offers a wide variety of parameters and options that allow for creating and customizing numerous detection rules with great precision. Its graphical interface is highly intuitive and easy to navigate, making the user experience very friendly and efficient. Furthermore, the platform features extensive, detailed, and well-structured documentation, which greatly facilitates understanding its functionalities and fully leveraging all its capabilities. Review collected by and hosted on G2.com.

What I don’t like about Sift is that sometimes some records are lost when downloading data. Additionally, when downloading different files, some contain more information than others, which requires manually merging them—a process that is very tedious and time-consuming. Review collected by and hosted on G2.com.

It is easy to use, you can even have your investigation much effectively as you can justify your decisions according to the details we see in the Sift scores of the customers. How many users are using the device of the customer, order history, and location of the customer. We can check the IP location of the customers, if it matches their address. We can check as well if the customer is linked to other customers of Remitly in other factors or attributes. Sometimes we can see also if there are other customers who are sending under the same IP address and it became a red flag that we have to mitigate. We can cross check also how may times customers are submitting transactions and based it also on their ages. Review collected by and hosted on G2.com.

I think if there are some linkage but it is inaccurate when we check. Review collected by and hosted on G2.com.

Sift provides strong fraud detection capabilities with accurate risk scoring that helps reduce chargebacks and manual review effort. The platform is relatively easy to integrate and offers clear dashboards that make monitoring fraud trends and decision outcomes straightforward. Its automation features help scale fraud prevention without significantly increasing operational overhead, and customer support is responsive when issues arise. Review collected by and hosted on G2.com.

Some advanced features require additional configuration and fine-tuning to achieve optimal results, which can take time and expertise. Pricing can become relatively high as transaction volume grows, and deeper customization or reporting sometimes requires support involvement rather than being fully self-service. There is also a learning curve for new users when interpreting certain risk signals. Review collected by and hosted on G2.com.

What I like best about Sift is its ability to provide real-time, data-driven fraud detection while maintaining a seamless customer experience. It effectively combines machine learning with customizable rules, allowing teams to make accurate decisions quickly without heavily impacting good users.

Another key strength is its flexibility and visibility—the platform makes it easy to investigate cases, review signals, and understand the reasoning behind decisions. This helps improve both efficiency and confidence in handling complex risk scenarios.

Overall, Sift stands out for helping teams balance risk prevention and customer trust, enabling smarter and faster decision-making. Review collected by and hosted on G2.com.

One of the main challenges with Sift is that it can feel complex and overwhelming, especially when handling cases with multiple signals, linked accounts, and data points. This sometimes makes it harder to quickly identify the most critical information needed for decision-making.

Additionally, the annotation and documentation process can be time-consuming, particularly when detailed inputs are required across different fields. Missing even a small detail can impact quality, which adds pressure during high-volume workloads.

There are also moments where navigation and filtering could be more intuitive, as locating specific details or switching between related cases may take extra time.

Overall, while Sift is a powerful tool, improving usability, simplification of workflows, and clearer prioritization of key signals would enhance efficiency and user experience. Review collected by and hosted on G2.com.

Sift offers a clean, visual UI with seamless e-commerce integrations. Its real-time AI leverages a global network for high performance, though pricing is premium. While onboarding is thorough, the ROI is high through significant chargeback and manual review reduction. Review collected by and hosted on G2.com.

Common dislikes include steep premium pricing and a complex initial setup that often requires technical resources. Users also report occasional false positives that increase manual workloads and limited native reporting compared to competitors, occasionally needing external BI tools for depth. Review collected by and hosted on G2.com.

Real-time risk-scoring of bookings (so you can flag quickly which bookings might be fraudulent) and integration with your PG/fraud tool ecosystem.

Workflows and rules that allow automation of “high risk → block/cancel” actions, freeing you from manual triage.

Dashboards that allow you to monitor fraud decline rates, patterns, and anomalies across your flight & hotel services.

Dispute/chargeback management modules that help you gather evidence, view dispute status, and follow up with acquirers.

Ability to link behaviour (e.g., account creation, booking patterns, refund requests) with risk scoring, which helps you detect “fraud skipes” (skipping patterns) or evolving fraud schemes. Review collected by and hosted on G2.com.

Complexity and implementation effort

Some users report a steep learning curve. The platform offers many capabilities, which means setup, tuning, rule-building, and integration can take time.

For smaller teams or organisations without dedicated fraud specialists, the resources needed (for configuration, fine-tuning, monitoring) may be non-trivial.

Cost and pricing model

Sift uses a custom, quote-based pricing model (often aligned to your transaction volume, the modules you use, and your service level).

Because of that, for smaller merchants with limited volume or limited fraud operations budget, it may be less cost-efficient than simpler tools.

Transparency of scoring / “black box” concerns

Some users note that while the scoring and ML are effective, they don’t always get full visibility into why a decision was made — making explanations to business stakeholders or appeals harder.

Also, there are mentions of false positives or misclassification of legitimate users, which can impact revenue or customer experience.

Reporting / customisation limitations

A few reviews mention that the reporting/analytics could be stronger or more flexible; the rich machine-learning engine is top tier, but viewing, exporting, or fully customising dashboards may be less advanced than desired. Review collected by and hosted on G2.com.

I love the ease of use of Sift and how it can be integrated with most apps without any bugs or minimal technical errors. It's really valuable to me because without it, the work cannot be completed efficiently. The initial setup was perfectly easy and very intuitive. Review collected by and hosted on G2.com.

Sometimes, the comment section on the app hangs up or freezes, and it can affect other tabs that are also on Sift. I raised it to our IT Team to no avail. Review collected by and hosted on G2.com.