Systems | Development | Analytics | API | Testing

Fraud Detection with Cloudera Stream Processing Part 1

In a previous blog of this series, Turning Streams Into Data Products, we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. We discussed how Cloudera Stream Processing (CSP) with Apache Kafka and Apache Flink could be used to process this data in real time and at scale. In this blog we will show a real example of how that is done, looking at how we can use CSP to perform real-time fraud detection.

Announcing new BigQuery capabilities to help secure sensitive data

In order to better serve their customers and users, digital applications and platforms continue to store and use sensitive data such as Personally Identifiable Information (PII), genetic and biometric information, and credit card information. Many organizations that provide data for analytics use cases face evolving regulatory and privacy mandates, ongoing risks from data breaches and data leakage, and a growing need to control data access.

Fraud Processing With Cloudera Stream Processing

SQL Stream Builder, part of Cloudera Stream Processing offering, allows developers and analysts to write streaming applications using industry-standard SQL. In this video, you will learn the interactive experience with syntax checking, error reporting, schema detection, query creation, and creating outputs on fraud detection with its powerful interface and APIs.

Identity Verification and KYC in a Digital Age

Identity verification is a crucial step in ensuring someone is who they say they are. This idea is brought through digital identity verification. This reduces the effects of individuals from creating a fraudulent identity, engaging in fraud-related crimes, or acting without the permission of someone else. Organizations must detect the identity of an individual as they manage many prominent security issues like identity theft, data breaches, and fraudulent transactions.

Magic link authentication using Asgardeo

Passwords are becoming obsolete, and the tech world is exploring various different technologies to allow users to log in without passwords. In a previous article, we discussed the perils of passwords and how FIDO2 can help us go passwordless. However, FIDO2 is no silver bullet as it comes with its fair share of caveats. Magic link is a viable alternative for all those who do not want to use FIDO2. This article discusses magic link in detail and demonstrates how we can use it with Asgardeo.

Scan your builds for vulnerabilities by using mobsfscan with Codemagic

With the increase in malware attacks on devices, engineers are putting more effort into ensuring the products they build are not vulnerable to these attacks. One such tool that can help mobile engineers reduce vulnerabilities is Mobile Security Framework (MobSF).

Predictions for the Future of Modern Data Authentication

Whether in the public fleet industry, telecommunications, or another sector that manages significant data sets, all companies need to ensure that they hold their data security to the highest standards. Many security features are still in their infancy, but the amount of information being stored and accessed daily has increased exponentially over the last few years. Thankfully the future of modern data authentication is bright.

Hunters Brings Data Integration to Security Operations

In this episode of “Powered by Snowflake,” Daniel Myers chats with Uri May, Co-founder and CEO of Hunters, a three-year old company that is bringing new levels of data integration to the world of network security operations. “Our differentiator,” May explains, “is that we want to seamlessly integrate as much data as possible. And that is something Snowflake facilitates very well because of its ability to scale, its performance, and even its business model of paying for storage and compute with different credits. We believe that more data means better efficacy, more accuracy, and faster detection times.”

Protecting Privacy While Enhancing Data Access Using the Snowflake Media Data Cloud

Increased regulatory scrutiny around data security has created a challenge for media companies, which need to protect consumer privacy while also finding ways to use the consumer data they’ve collected to enhance their advertising and marketing efforts and deliver a superior consumer experience. It can be a delicate balancing act. But those companies who have adopted the Snowflake Media Data Cloud report that it is a balancing act they can manage efficiently.