In an age when attackers create over a million phishing sites each month, and phishing serves as a beachhead for 95 percent of all attacks against enterprise networks, how can businesses respond? Part of the answer lies in educating users to recognize and report phishing, of course. But user education only goes so far – particularly because the same statistics cited above show that, on average, only 3 percent of users will report phishing emails.
Mastercard is one of the world’s top payment processing platforms, with more than 700 million cards in use worldwide. In the US, nearly 40% of American adults hold a Mastercard-branded card. And the company is going from strength to strength; despite a dip in valuation of more than a third when the pandemic hit, the company has doubled in value three times in the last nine years, recently reaching a market capitalization of more than $350B dollars.
Protecting your applications from abuse of functionality requires understanding which application features and workflows may be misused as well as the ability to quickly identify potential threats to your services. This visibility is particularly critical in cases where an adversary finds and exploits a vulnerability—such as inadequate authentication controls—to commit fraud.
With web applications and public APIs becoming increasingly important to how organizations interface with their customers and partners, many are turning to dedicated tools that can help protect these assets.
According to the Association of Certified Fraud Examiners, the money lost by businesses to fraudsters amounts to over $3.5 trillion each year. The ACFE's 2016 Report to the Nations on Occupational Fraud and Abuse states that proactive data monitoring and analysis is among the most effective anti-fraud controls.
Fraud comes in different forms, from client-facing credit card fraud to internal fraudsters twisting the loan portfolio. Banks (and other financial institutions) need to stay vigilant and act fast to prevent the loss of both money and reputation that follows each fraudulent incident. Fraud is expensive, but fraud prevention, detection and remediation can also be costly.
