Sift Reviews

By using Sift, we can access the data that goes into an account's Sift Score as well as links to other accounts that have the data we require.

The functions to check locations, network view, signals glossary, and activity view are what I appreciate most about Sift. These are the things that I find most useful when using Sift to improve the accuracy of my reviews and identify red flags of fraud in accounts. Frequency of Use, We Customer support frequently used it to make sure that we have an accurate decision in every case that we do to fight any kind of fraud or identity theft.

There isn't anything that I find particularly beneficial about utilizing SIFT, but I can provide some suggestions. For example, since all of the properties are displayed, we could divide the network overview into two parts: common signals and unique signals. I propose creating two distinct boxes: one for the common features, such as the fingerprints of the billing and shipping names, and another for the unique attributes, such as the fingerprints of browsers and Android devices. This would enable us to look into the account more quickly.

When it comes to preventing fraud in our customers' accounts, Sift truly offers detailed information that facilitates an accurate and quick resolution of the issue if fraud is present. We gain from it since it expedites our job and saves time, which enables us to assist more clients.

As a Remitly Risk Investigator, I would say that what I like most about using Sift for mitigating an account's risks is that it actually gives you an accurate percentage of how risky an account is but that information is also based on our action and Sift accurately checks the details input by users and Sift filters it. It also provides us with accurate information when it comes to categories or attributes and also summarizes the data it collects

For my experience, I think it would be necessary to improve the visual representations of the date it collected or better if they could put a detailed definition of an information it filtered like, sending a finger print -- I noticed almost the accounts are the same. address but I'm not sure why it's called a shipping fingerprint - I'm thinking it's the same fingerprint access to a shipping address. So I think its best if there are descriptions on every characteristic if filters for us RI to have a better understanding

Sift has really helped us to filter and collect information related to both accounts and it will tell you the percentage of riskiness of an account at a glance

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.

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.

We're discovering patterns across our various merchants while using it and successfully mitigating false positives. The scores it provides based on the model's training assist us in countering chargebacks.

We can use it to identify the fraud detection and find the transaction details about the customer. it also help to find the device details, IP location and most of every important information that is required for the customers.

Whatever details I required about the account or transaction I got with sift, so basically there is no dislike as of now even it make my work very easy to find and work efficient.

It help me to identify the fraud and risk detection. we can check different kind of connection and network, and detect the status of risk about the phones, emails and device was jailbreak and many more.

I love that fact that Sift helped me track down around 90k spammers and restrict them. With Sift it becomes easy to collect all vital data and work around it.

I have not faced any issue till now while working out of sift. I am yet to explore many other things and I am pretty sure it would be really helpful. Would address if there is anything else.

My job requires me to identify potential scammers, bots and offline spammers who hamper my company's smooth business. Sift makes it so easier to pull out all those scammers and help us reduce the fraudulent transactions. I have been able to pull around 90k potential bots and spammers with so much of ease.

For me, the best thing about sift is how convenient it is to use, the most useful thing for me is the way how I can see each of my customer is connected with each other, this is one of my basis how I can mitigate my cases well since we can easily see on our end how some of my customers are connected due to connection similarities

The only thing I dislike about Sift is that sometimes there are information that I need to see but it doesn't appear immediately on my end

Mostly detecting fraudulent customers, we can easily detect it and it makes my job easier

It has all the data needed at one place. Easy to navigate and very helpful in catching all the fraud-related networks and IPs using the integrity signals. I like the segregation of data presented on the tool. I would also like to mention how useful it is in finding bots and frauds along with spam in the e-commerce industry. I use it every day for payment-related as well as content-related integrity signals presented by it to review the users

Since it's very vast and all the data of a user, it might be quite confusing at times to pick one particular data from it. If the terms are more elaborate it could be really helpful. The support to reach out to Sift can be improved

It helps track the duplicate contents, spam messages, fraud signals, payment fraud activities, home domains and the various VPNs used by the fraudsters. It also leanrs the workflow well and restrict users accordingly

The most helpful feature about using Sift is it provides more comprehensive information that cannot be found somewhere. Whenever I am investigating certain number of accounts, there are instances that our main tools are not able to find some essential information like specific name of devices or links which are very detrimental with the investigation. I find it really helpful because it gives me the important information that I needed to complete my investigation.

The only downside of using Sift is that it gives you unnecessary linked information that is too vague. Although not that much of a trouble but it could´ve been better not to include the generic information like name and last four digits of account number to save time in checking them one by one. Other than that, I don´t see other downside of using Sift.

Sift is a very big help for me when it comes to my investigation because it lets me see various accounts that are linked with specific information like devices, IP addresses, phone numbers, sender browser cookies, billing addresses as well as the account activity itself. It really amazes me that I can see what are the pages that a certiain person visited and it helps me to identify how fast they navigate their device. It is very important in my role as an investigator to identify whether a certain user is really possible in navigating fast because this is how we determine if they are really the one who is accessing their device or not. Overall, using Sift benefits me by making my investigation faster and more effective.

Sift is the fastest and simplest way to search people and organinzations and making anyone and anything searchable. What I like is that we can see other link accounts that is not showing on main page of our CRM tool, we can determine what device cx is using and fingerprints are also seen.

The least helpful is the realtime update as there is a delay sometimes

Determining ownership of device for Stolen info and ATO pattern; WE can actually what device cx is using and who is the owner by simply looking into the device name and type. We can actually determine if the device is already stolen.

I am a risk investigator in Remitly and I can say that this tool give me a strong evident information to find any linked accts/information for us to fulfill our task for preventing any fraud trxns/activities and especially mitigating any future risks too

Frequently of use, we are also relying on the information that sift is provided (Data)

Ease of Implementation,it is to put something into action or carry out a specific process which is we can decision right away our cases helping us to identify if our senders are involved to any high fraud risks accounts

Number of Features, yes we can see that there are so many features that we can use for helping us to have a strong evident information linked to our customers

Ease of Use , yes find it so easy to navigate tools and accurate information that the sift data providing to us

Ease of Integration,it is to integrate one thing with another, such as systems or services, information that the sift data providing to us

Customer Support, it is very reliable source and support to us

For me I don´t find any dislike when I am using the service of sift

The benefits Sift provided to me when it comes for mitigating fraud risks are first I can identify if there are hard link accts via IP address to other high risk accts or suspended accts because there are times that our own tools not able to get that information I can prove that there are accounts that I already suspended and prevent fraud transaction relying only to sift data and no accounts I mishandled so it means that the decisioned that I made using sift data for my holistic review is correct.