Fighting Insider Fraud: Using the Right TechnologiesRoger Darvall-Stevens of RSM Australia on Spotting the Warning Signs
To crack down on insider fraud, organizations should consider using artificial intelligence, machine learning, data analytics, data visualization software, predictive modeling and social network analysis, says Roger Darvall-Stevens, a fraud and forensic services expert at the consultancy RSM Australia.
See Also: Automating Security Operations
For example, emotional tonal or sentimental analysis involves using an email network and server to "identify words and phrases that are symptomatic of multiple opportunity and rationalization for the fraud triangle," he says. "And wherever there is a connect, use that as a red flag for fraud investigation."
In a video interview with Information Security Media Group, Darvall-Stevens also discusses:
- Factors to consider for mitigating insider fraud;
- Technologies that can play a role;
- How to map a fraud program against standards from the National Institute of Standards and Technology.
Darvall-Stevens is partner and national head of fraud and forensic services at the consultancy RSM Australia. He has more than 30 years of experience in forensic accounting and forensic investigations of fraud, bribery, corruption and improper conduct.