Operations | Monitoring | ITSM | DevOps | Cloud

Fraud

The Role of Technology in Detecting and Preventing Business Fraud

Fraud is an ever-present threat to businesses, costing companies billions of dollars in losses each year. The ability to detect and prevent it has become increasingly important as criminals continue to find new ways to exploit vulnerabilities in corporate systems. Fortunately, technology can play a major role in helping organizations identify and stop fraudulent activities before they occur. Read on to find out how!

5 Ways to Use Log Analytics and Telemetry Data for Fraud Prevention

As fraud continues to grow in prevalence, SecOps teams are increasingly investing in fraud prevention capabilities to protect themselves and their customers. One approach that’s proved reliable is the use of log analytics and telemetry data for fraud prevention. By collecting and analyzing data from various sources, including server logs, network traffic, and user behavior, enterprise SecOps teams can identify patterns and anomalies in real time that may indicate fraudulent activity.

Phishing and Identity Fraud Protection for Remote Teams

Did you know that remote teams are more vulnerable to phishing and identity fraud schemes? In this blog post, we will discuss the dangers of phishing and how you can protect your team from falling victim to scams. We will also provide tips for preventing data loss and protecting your company's confidential information.

Fight the phish using Bubble Wrap

Bubble wrap®. That obsessively addictive plastic material, made up of hundreds of small air-filled bubbles we all love to squeeze. Although I tend to think of Bubble Wrap as the original fidget toy—melting away our anxieties with every satisfying pop—most people associate it with helping to protect their most precious collectibles when in transit or being placed in long-term storage.

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.

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.

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.