Fraud

Torq

5 Automated Anti-Phishing Protection Techniques

In an age when attackers create over a million phishing sites each month, and phishing serves as a beachhead for 95 percent of all attacks against enterprise networks, how can businesses respond? Part of the answer lies in educating users to recognize and report phishing, of course. But user education only goes so far – particularly because the same statistics cited above show that, on average, only 3 percent of users will report phishing emails.

unravel

Mastercard Reduces MTTR and Improves Query Processing with Unravel Data

Mastercard is one of the world’s top payment processing platforms, with more than 700 million cards in use worldwide. In the US, nearly 40% of American adults hold a Mastercard-branded card. And the company is going from strength to strength; despite a dip in valuation of more than a third when the pandemic hit, the company has doubled in value three times in the last nine years, recently reaching a market capitalization of more than $350B dollars.

datadog

Detect application abuse and fraud with Datadog

Protecting your applications from abuse of functionality requires understanding which application features and workflows may be misused as well as the ability to quickly identify potential threats to your services. This visibility is particularly critical in cases where an adversary finds and exploits a vulnerability—such as inadequate authentication controls—to commit fraud.

Bits of Security, PedidosYa: Fraud Detection using Datadog and Sherlock

From day one, most organizations,especially the big ones, are targeted with a broad range of attacks. These range from information exfiltration attempts to fraud. Although a great majority of them can be addressed with the help of a Web Application Firewall, there are some that require more extensive tooling. Join me as I show you how we use Sherlock and Datadog to block 30,000+ fraudulent users per week in seconds. We will also discuss other applications and how you can implement similar solutions.
splunk

Creating a Fraud Risk Scoring Model Leveraging Data Pipelines and Machine Learning with Splunk

According to the Association of Certified Fraud Examiners, the money lost by businesses to fraudsters amounts to over $3.5 trillion each year. The ACFE's 2016 Report to the Nations on Occupational Fraud and Abuse states that proactive data monitoring and analysis is among the most effective anti-fraud controls.

keboola

How can DataOps improve your financial institution's fraud program and mitigate risks?

Fraud comes in different forms, from client-facing credit card fraud to internal fraudsters twisting the loan portfolio. Banks (and other financial institutions) need to stay vigilant and act fast to prevent the loss of both money and reputation that follows each fraudulent incident. Fraud is expensive, but fraud prevention, detection and remediation can also be costly.

CISA's recommendations on how to recognize and avoid email scams

Just as remote work has grown at an unprecedented rate across the world, so too have the number of email scams. Email is now the most popular attack vectors among adversaries. We've prepared a guide to help you understand the anatomy of popular email-based scams, how they work, and what you can do to avoid them. Key insights from the e-book.