In this series, we’ve shown that fraud is extremely expensive and can damage a company’s reputation. Preventative measures, such as employee training and email filtering can help reduce insider threats, but still leaves threats from the outside unhindered. Easy to use fraud detection software solutions, such as the Expero Connected Toolkit, reduce the overhead required to track and predict fraud and provide a variety of tools for many user personas.

Alerts are a powerful tool for real time fraud detection systems. Alerts can be used to surface things one normally wouldn’t see in real time. You can imagine using alerts to notify users of phishing attacks, fraud, or anything suspicious. Real time alerts are important for escalating and properly mitigating threats. They can even be preventative, declining fraudulent transactions (or enabling unusual, but non-fraudulent, ones) as they occur, before they escalate into full on fraud or successful attacks.

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In this webinar we discuss how Graph and Machine Learning work together to detect, prevent, and investigate cyber fraud using capabilities that Expero has put together.

An insider threat is a vulnerability of a system resulting from people within the organization. This can be intentional or unintentional: accidental breaches due to negligence or phishing are possible. Using the Connected Toolkit, we can use data from within a company’s system to predict where potential insider threats will occur.