How Machine Data Can Help Find Anomalies & Fight Fraud

Fraud is a growing problem as more parts of our lives are being touched by digitization. Think of all the accounts in our lives, which are all susceptible to fraud. This can include credit card numbers, bank account numbers, an email address, a phone number, a home address, a user ID, prescriptions, loyalty rewards or a gamertag. So how do organizations such as Telefonica or Duke University fight fraud such as account takeover or the theft of faculty salary?

Download your complimentary copy of 'A Guide to Fraud in the Real World' to learn:

• How much fraud is growing across different industries
• Real-world examples showing how fraud touches every part of our lives
• How organizations are finding the fingerprints of fraud in machine data