The PwC Economic Crime 2016 survey showed that more than one in three (36%) organisations experienced financial crime with company detection methods not keeping pace. The pressure is on the industry to find solutions to deal with financial crime efficiently. AI can offer a number of these solutions. Do you want to know more about that?
Financially-motivated crimes follow a cyclical pattern: new security measures emerge to combat existing criminal tactics, so criminals adopt new tactics to overcome the latest security measures, which then prompts a new wave of security measures to protect against the latest criminal tactics. Download our article to discover the cutting edge technologies that are shaping the anti-financial crime market.
Financial crime has become a major concern for financial institutions around the world. Penalties are becoming more important and the associated costs are substantial. To help organisations learn from their mistakes we examined a few of the biggest financial crime scandals to see what lessons could be learned from them.
As revealed in the 2017 IBM X-Force Threat Intelligence Index, the financial services sector was attacked more than any other industry last year. The average financial services client organisation monitored by IBM Security Services experienced 65 percent more attacks than the average client organisation across all industries. With this in mind we take a look at lessons the industry can learn from three of the biggest financial cyber attacks of the century.