Big data analytics is proving to be a powerful tool for security by allowing organizations to analyze large amounts of disparate data for patterns and anomalies. Gartner predicts that the percentage of large global companies using big data for cybersecurity and fraud detection will increase from 8% currently to 25% by 2016. Big data analytics can help identify phishing attempts, screen out scam calls, and track fraudsters' behaviors across accounts to develop patterns. The University of Adelaide implemented the analytics tool Splunk to help deal with growing phishing attacks, and realized expanded security applications and benefits. While big data analytics is ahead of most organizations' abilities, its return on investment is typically too large to ignore.