Industry Ramps Up Moves To Combat Online Card Fraud
The Australian Payments Network (AusPayNet) today announced the start of an industry consultation on a new framework to accelerate the fight against online card fraud.
The announcement coincides with the release of the latest card fraud data for 2017 showing card-not-present (CNP) fraud accounted for 85% of all fraud on Australian cards. This is in line with global trends and reflects the rapid growth of e-commerce and online payments.
AusPayNet CEO, Dr Leila Fourie said that the success of chip technology in preventing in-person card fraud meant that criminal activity was migrating to online payment channels.
“This is the trend internationally, and the Australian industry has mobilised to ramp up the uptake of prevention measures,” Dr Fourie said.
“With fraud values in other areas of card payments either flat or falling, attention is now focussed squarely on online fraud,” she said.
“The framework released for consultation today is the result of collaboration among the entire range of stakeholders in online payments. Card issuers, retailers, card schemes, payment gateways, payment service providers, regulators and industry bodies have joined forces to ramp up the fight.”
Key elements of the CNP Fraud Mitigation Framework include:
- Targets for card issuers to reduce CNP fraud across their card base
- Merchants who record fraud above an agreed industry benchmark being required to use multi-factor authentication, except for exempt (low-risk) transactions
- Boosting the use of tokenisation and compliance with card-security standards (PCI DSS)
- Encouraging use of biometrics in authenticating CNP transaction
Recent Reserve Bank of Australia figures show that consumers spent more than ever on their cards in 2017, with the overall value of card transactions up 5% to $748.1 billion.
AusPayNet figures released today show that card fraud of all types was also up 5% to $561 million, and accounted for 0.075% of the overall value of card transactions. At 7.5 cents in every $100 transacted, the rate of card fraud remained largely the same as in 2016.
Strengthened protection offered by EMV/chip technology resulted in a 48% fall in counterfeit/skimming (in-person) fraud to $31 million, the lowest value since 2006. Lost and stolen card fraud accounted for 7% of all card fraud, unchanged from 2016 and down from 10% in 2012. While in-person fraud fell in 2017, CNP fraud was up 14% to $476 million.
“Through the framework, we are taking a leading-edge approach to tackling the global problem of increasing online card fraud. With a united front, we can have the same impact that the roll-out of chip technology has had in combatting face-to-face fraud,” said Dr Fourie.
CNP fraud occurs when valid card details are stolen and used to make purchases or other payments without the card, typically online or by phone.
“There are some simple things people can do to help the fight against online fraud,” Dr Fourie said.
“Only provide your card details on secure and trusted websites – look for the locked padlock icon. Be wary of offers that look too good to be true. Malware and phishing attacks are becoming increasingly sophisticated, so be suspicious of unsolicited emails and text messages from people you don’t know. Don’t click on the link provided and don’t be tricked into divulging confidential data such as your password,” she said.
Other steps people can take include:
- Registering for, and using their financial institution’s online fraud prevention solutions, whenever prompted
- Being wary of offers that seem too good to be true – doing checks to make sure the business is legitimate
- Always keeping PC security software up-to-date and doing a full scan often
- Regularly checking statements and reporting any unusual transactions to their financial institution immediately
Australians are not liable for any fraudulent transactions on their payment cards and will be reimbursed as long as they have taken due care.
There is Large Potential for AI to Contribute to Global Economic Activity
The McKinsey Global Institute looked at five broad categories of AI: computer vision, natural language, virtual assistants, robotic process automation, and advanced machine learning. Companies will likely use these tools to varying degrees. Some will take an opportunistic approach, testing only one technology and piloting it in a specific function (an approach our modeling calls adoption). Others might be bolder, adopting all five and then absorbing them across the entire organization (an approach we call full absorption). In between these two poles, there will be many companies at different stages of adoption; the model also captures this partial impact.
Source: McKinsey GlobalInstitute September, 2018