Shulou(Shulou.com)06/02 Report--

Garbage registration not only disturbs the user information database of business departments and occupies business resources, but also serves as a hotbed of black ash production "econnoisseur", burying many hidden dangers for the stability of enterprise business.

In the past, simple risk control strategies needed to be developed and written independently, on the one hand, more manpower was invested, on the other hand, with the improvement of the technical capability of black ash production, the risk control strategies of enterprises also faced faster iterative pressure.

Now, the problem of "junk registration" that plagues business units is about to usher in a new solution!

Dinsight real-time risk control engine: easier risk control policy configuration

Dinsight real-time risk control engine is a risk prevention and control product that realizes millisecond decision-making based on advanced technologies such as device fingerprint and flow computing. It integrates expert strategy, decision flow, strategy laboratory and other components. By configuring a visual strategy, policy business staff can simply and effectively configure risk prevention and control strategies under different scenarios and different risks.

Taking "garbage registration" as an example, top strategy experts provide strategies such as "single-day registration success fluctuation ratio", "similar IP registration restrictions" and "high-risk time registration restrictions". The behavior of black ash waste registration can be effectively identified through multi-dimensional identification strategies such as device, IP, time, behavior and so on.

Like the powerful visual interface of Dinsight intelligent risk control, technology rookies can also quickly get started with the configuration of wind control strategy and easily sweep away the annoyance of garbage registration.

Next, we will take the configuration of a basic policy in "garbage Registration" as an example to demonstrate the configuration method.

Easily configure risk control strategy in three steps

Taking the "single-day registration success volatility ratio" strategy as an example, the baby elephant demonstrates how to configure the risk control strategy in only three steps.

The first step is to enter the indicator configuration. In the "single-day registration success fluctuation ratio" strategy, you need to use the "natural day registration success number" indicator to create a new index called "natural day registration success times".

The second step is to enter the field configuration. Create a new field to calculate the registration success ratio.

Step 3, enter the policy configuration. Create a new "single-day registration success ratio" policy.

At this point, the risk control strategy of "single-day registration success fluctuation ratio" has been configured successfully!

The above is a basic module of the risk control strategy of "garbage registration". If we want to do a good job in the prevention and control of risk behaviors such as "garbage registration", we also need to be closely combined with the business scene of the enterprise, and use Dinsight intelligent risk control to do a good job in the construction of full-link wind control system.

At present, the products and solutions of Top Elephant Technology have covered banking, e-commerce, mutual fund, air travel and other industries, and leading enterprises such as Jiangsu Bank, Nanjing Bank, ele.me, Air China and other leading enterprises have cooperated with Ding Xiang to establish a more stable intelligent risk control system.

Real-time monitoring strategy effect, big data empowering enterprise risk control

Dinsight real-time risk control engine can not only realize the simple operation of policy configuration, but also make risk identification visualization and data.

As shown in the figure, after the successful completion of the policy configuration, you can view the risk identification of risk control in real time in the risk market.

The risk market shows the current risk trend through the dimensional data such as risk regional distribution, risk trend and real-time request. It can also provide data basis for risk control personnel policy tuning through dimensional data such as policy hit ranking, risk type proportion, request equipment distribution and so on.

In the overview, business staff can also query historical risk data, through the data to drive business decisions, and better improve the quality and efficiency of enterprise risk control ability.

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