How to Fight Fraud with Artificial Intelligence and Intelligent Analytics
Fraud Summit - San Francisco 2014 - Could artificial intelligence have been used to prevent the high-profile Target breach? The concept is not so far-fetched. Organizations such as MasterCard and RBS WorldPay have long relied on artificial intelligence to detect fraudulent transaction patterns and prevent card fraud. Register for this session to learn:
See Also: From Authentication to Advanced Attack Vectors: Top Trends in Cybercrime in Q1 2016
- The latest market research on fraud trends and the use of threat intelligence;
- How AI has evolved;
- Strategies for how new AI solutions can be used to predict and prevent fraud;
The use of artificial intelligence for fraud prevention is not a new concept, and it's not the stuff of science fiction, according to its proponents. In fact, AI solutions can be used to enhance security across a number of business sectors, including retail and financial.
By tracing the steps of card usage and device or endpoint access, security specialists are more effectively linking points of compromise and preventing fraud. Organizations rely on AI to trace those steps by analyzing the behaviors of transactions and devices.
Companies such as MasterCard and RBS WorldPay have relied on AI to detect fraudulent transaction patterns and prevent card fraud for years now. And some proponents feel AI could have helped retailers such as Target and Neiman Marcus to prevent their recent breaches.
In this session, Ed Ferrara of Forrester looks at the new requirements for security analytics and the fraud connection.
And then Paul Cordero of Brighterion offers insight from case studies of organizations that have applied AI to their own risk management programs.
ISMG's Fraud Summits are one-day events focused exclusively on the top fraud trends impacting organizations and the mitigation strategies to overcome those challenges.
All 2014 Fraud Summit San Francisco recordings:
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