Artificial Intelligence for Digital Payments Security
Abstract – Digital wallets are becoming the new way to pay. Most interesting factor here is to know companies who are most successful in this field actually came out of payment industry with no prior knowledge or payment intelligence but rather came with Artificial Intelligence. How to pay and where to pay, when to pay etc. Disrupted the most unknown and unsecured payment methods like contactless payment systems. Does any one ask any question from these ventures weather their suggested methods are safer, secured or how much vulnerable than chip-enabled plastic cards, and what it might take for contactless systems to be used as widely as cash. How the data or sensitive data of a customer been treated and used in their systems. The AI sub-field called “Artificial General Intelligence” (AGI) is most relevant. AGI is about autonomous agents interacting in an environment.
Introduction – Apple is in talks to launch its money transfer service may be as Apple Cash. JPMorgan quits R3 block chain consortium though. In the Q1 of 2017; $3.2 Billion United sates dollars went into FinTech Deals. The world is becoming increasingly interconnected through mobile phones and the Internet. The digital wallet revolution has not have lived up to its expectations yet. According to Gallup, just 13 percent of smartphone owners have a digital wallet app, while the majority of those who do have an app (76 percent), rarely use it. That may be disheartening for those of us involved in the industry, but there’s always a silver lining. Today, you can see how everyone else lives, in his or her own countries and abroad. But while the aspirations of people around the world are converging, opportunities are not.
Main Story – Machine learning gets the problem-solving call. Deep learning algorithms, AI and neural networks may be getting their day in the sun, but they’ve been around for a while. It’s just in the past 15 years that they have gained traction, technology that was once niche is now becoming more mainstream and cost-effective. Additionally, today’s marketplace is increasingly technology-dependent. I spoke at the NGT Africa Summit last week in Lusaka-Zambia to demonstrate issues around Privacy, Innovations, and Security in Digital Payments. One point agenda was to highlight the need to accelerate development of privacy & security as basic requirement in any innovation. With this advancement people can lift themselves out of single mindset (being just inventors or disruptors).
To use limited funds in the most effective way possible, we must fundamentally rethink our approach to development finance.
In 2017, why we dont have some very basic measure in place for every payment system for example when someone type his/her own password or PIN.
We humans are same and lazy enough and love not the accept or like changes but wants to shout slogans “change is the only constant thing”. Our habits of about using computers, mobile devices or almost everything in a ways that are unique and consistent with our own biology and physiology. System should be able to learn the behaviour and style and when the same person types 3rd person password or PIN system should be able to detect and raise alarm. The way some one click and type, the way any one use mouse and other input devices are pretty consistent with that person’s own behavior, habits, education level, and familiarity with a service or system. Basic security of typing wrong password is no longer good or doing anything good. Complexity and cost to be redistributed to implement the considered security measures in innovation. Aspirations, linked to opportunity, can breed dynamism and inclusive, sustainable economic growth. That’s something we all want to see. Meanwhile, tech giants like Apple, Google and Intel are investing billions of dollars in using machine learning AI’s to build out their next big projects.
We usually encounter in our organization where CMO says my marketing is good, CTO says my network is good and CIO says my IT is good and every claims the are best in their work area but still customer says I am not happy as my experience and satisfaction level are not same. In order to change economics and political science of innovation; ISO 12812: released new standards for mobile banking. Apple is looking for new ways to boost usage of Apple Pay, and the debit card could be one way to do that. On the other hand this makes lots sense as Apple used invention that was on table from long time but still its Pay usage has been lighter than expected since it launched two and a half years ago.
Chatbots harness software that uses artificial intelligence (AI) to process language from interaction with humans in chat programs and virtual assistants. For humans our habits and behaviors are very difficult to change and if we can identify legitimate users by their typical behavior patterns – we can detect anomalies on a totally new level. Same goes with fraudsters – ability to identify and quantify behavior patterns of cyber criminal will allow us to uncover and neutralize threats that may be undetectable by other means. The concept of chat bots are coming up very fast but its limited to smart devices holders. As chatbots make their way into our daily life, financial institutions are laying the groundwork to use the software to automate customer service, move transactions and lower costs. Just to reiterate chatbots are not new or very different then audio-based bots such as Apple’s Siri, Samsung Play, Amazon’s Alexa and Google Home are all now household names. AGI can be modeled as a feedback control system. This is an excellent idea of AI great because control systems have many great qualities.The bot uses cloud-based AI developed by LivePerson alongside self-service software to intelligently answer or “surface” answers to frequently asked questions.
AI may just be starting to see the era of its own in digital payments but if industry trends are to be believed, it’s fast becoming the soul of the global fraud-fighting mechanic.Applying Robotic Process Automation in Banking, fintech or any financial services business. Robotics is quickly gaining traction in banks to automate their everyday finance and risk processes. The best to protect data from stealing by hackers; may be by not converting and putting the data in system, In the old days people says keep smiling it does not cost you anything hang on this is not true any more. By not creating digital data can we survive answer is NO, smile has cost in todays time as you pay for your bills for shopping with smile or selfie pic. Threat modeling in context of security architecture using machine learning to fight frauds, supporting compliances and regulations and taking care of preventive measures of any leakage of sensitive information and data.
BI does not take any action it just tells something about data but if we add AI on top of BI so that AI can trigger and kicks actions on BI findings how it would look like. Bank of England issues statement recently about its plan for next generations settlement system that will be DLT (distributed ledger technology) Compatible. While my regular reading I found on Google search a very interesting fact about Apple, if its free cash meets expectations, will have roughly doubled its holding in a little over 4.5 years in the last quarter of last year Apple was reportedly bringing in about $3.6 million per hour in revenue. In perspective, that is more cash on hand than the market cap of Walmart and the foreign-currency reserves held by the U.K. and Canada combined. Applying Robotic Process Automation in Banking, fintech or any financial services business can bring significant savings and reduction in negative impacts. Robotics is quickly gaining traction in banks to automate their everyday finance and risk processes. The Royal Bank of Scotland is rolling out a customer service “hybrid bot” from vendor LivePerson that hands over to a human colleague if questions flummox its artificial intelligence. With this this tool customers can message for their day to day with queries.
Arguably, the most destructive cyberattack is distributed denial of service attack (DDoS). Other attacks cause great harm—steal computing power, exfiltrate sensitive information, hold files and devices for ransom. But DDoS attacks are brute destruction of critical services. As the Dyn attack demonstrated, they can extend far beyond single organizations. Use of AI servers with AI logics which been learnt over time DNS are essential, so they are a primary DDoS target—but they are preventable or defensible. A variety of techniques exist for fortifying them in todays time but AI would be much more effective compare to the tools at hand.
Distributing query processing by combining hosted and on-premises DNS services, deploying recursive servers to the network edge, and creating redundant DNS architectures
Using response policy zones to cut off botnets and create whitelists for legitimate traffic
Rate-limiting noncompliant devices
Sharing threat intelligence to stay ahead of attackers and create a unified front
In Digital Banking industry this year, the leaders who are creating state-of-the-art apps, chatbots, authentication and internet-of-things applications will throw on what they do but why and how answers may not come out. The issues will be debated, like how and with whom to share account data and whether or not to try to compete with top-rated mobile wallet apps. And the brightest minds in the industry should lend hands to share ideas, network and collaborate. Business Insider is forecasting that in the U.S. alone mobile payments volume will increase to $503 billion by 2020 and will be used by 56 percent of the consumer population during that year. Meanwhile, Sweden, Singapore, the Netherlands, France, Canada, Belgium and the U.K. are already on their way to becoming cashless societies – with Australia, Brazil, India and much of Africa following suit.
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