Handling financial transactions also comes with its own risks, such as online fraud, that can have serious financial implications on day-to-day bank operations. The good news is, blockchain technology could turn the traditional banking industry on its head by making banking services seamless, transparent and more secure for customers. So far,
33% of commercial banks are expected to adopt blockchain technology in 2019.

Blockchain technology is set to disrupt the banking industry in a number of ways:

1. Reduced Payment Costs

Technological innovations have enabled more people to work online and even receive payments for their work-from-home jobs through their smartphones or computers. With banks adopting blockchain technology, the cost of sending payments is expected to reduce drastically. This will help eliminate the verification requirements from third parties during bank transfers. The processing time for payments will also be reduced, and the additional fees that banks charge eliminated. For instance, Bitcoin and Ethereum can take 30 minutes or a few hours to settle a customer's financial transaction compared to bank transfers that can take up to three days.

2. Direct Clearance and Settlement of Transactions

Traditional banks use a centralized SWIFT protocol to transfer money between two parties, with the actual cash being processed by intermediaries. The processing of SWIFT payments can take approximately 30 minutes if both parties screen and approve the transaction. However, if the corresponding banks don’t reconcile their ledgers in time, the transaction fails. With blockchain technology, the clearance and settlement of transactions are instant. Blockchain allows banks to track and keep their decentralized ledgers in their public network rather than relying on custodial services and correspondent banks. According to Goldman Sachs, banks would save at least $6 billion in settlement fees and related costs annually by adopting blockchain technology.

3. Lower Security Exchange Fees

The purchasing and selling of securities in the current financial market are done through brokers, central security depositories, custodian banks, and clearing houses before processing is complete. The manual process is tedious, sometimes inaccurate and prone to deception as it passes through several parties during the exchange. Blockchain technology will help eliminate intermediaries and brokers who are present during the transfer of stocks and assets, saving $17 to $24 billion in processing costs. Through blockchain technology, clients can transfer their securities and assets via cryptographic digital tokens like Bitcoin and Ethereum much faster and with lower exchange fees. Big banks such as JP Morgan and CitiBank, who are large custodians of assets worth over $15 trillion, are already adopting blockchain technology to lower security exchange fees.

Blockchain technology has immense potential in revolutionizing the banking and finance industry. Many financial institutions are expected to adopt it in 2019 and beyond to enjoy the benefits it offers.

Great strides have been made in protecting the banking infrastructure from network-based attacks and securing the web and mobile application layer – often the front door into banks through customer interactions. Here Mike Nathan, Senior Director – Solutions Consulting EMEA at ThreatMetrix, A LexisNexis Risk Solutions Company, delves into the ins and outs of cybercrime in the banking sector, offering some insight into the most targeted and vulnerable victims of cybercrime.

Interestingly, fraudsters are not always responding by upping their own technological prowess but turning to con artist style tactics to simply circumvent increasingly sophisticated cybersecurity measures. We have seen a dramatic rise in social engineering attacks, a more analogue approach to hit the banks where it hurts and as a result, customers have now become the new weakest point.

So, what can be done to anticipate or prevent this sort of attack?

Based on my observations, several years ago around 70 percent of attacks against banks involved account takeovers. Accounts can be hacked into using stolen identity credentials, or off the back of a phishing campaign where the customer is tricked into entering their login credentials on a fake site. Once the account has been compromised, the fraudster then accesses their digital banking account and commits the fraud.

Today, however, account takeovers only account for half of the problem due to the rise in social engineering attacks, also known as Authorised Pushed Payments (APP). APPs involve fraudsters contacting account holders directly and tricking them into making a payment. Given that the customer appears to give consent to the transaction, and it is originating from a device that is associated with that user, these attacks tend to be more difficult to detect.

A phone call from a concerned “member” of the fraud team at a bank may make a consumer panic, and instantly put all trust in that person. The consumer might then willingly send all his or her money to a separate account for “safe keeping”. In reality, that money has disappeared and so will the member of the fraud team who made the initial call. This is a simple method of APP attacks      used today.

These fraud techniques are especially effective with some of the most vulnerable people in our society, who tend to struggle with the evolution of banking and fintech. Advancements in certain remote access tools that allow the cyber criminals to access and control the customer’s computer are making the job even easier.

If fraudsters are evolving, so must the banking industry. The first step to tackle APP is through education. Ensuring all customers have extensive knowledge on the “dos and don’ts” when it comes to digital and phone banking is of paramount importance. Email alerts reminding customers that their bank would never ask for certain information over the phone, as well as adverts raising awareness on the risks of letting another person access their computer, are but a few options that can be used to ensure customers are protected and well-informed.

It is also imperative for the bank to place protections throughout the customer journey by monitoring user behaviour and spotting anomalies that indicate fraud. Banks must be actively looking for indictors of social engineering and account takeover attacks at crucial customer touchpoints including login, setting up a new beneficiary, and making a payment. By assessing activity in the context of historical activity for that individual, key red flags can emerge to identify suspicious behaviour. An example of this could be a payment from a desktop when the customer traditionally uses the mobile app, or a longer time between login and payment than normal or remote access tools being on the device for the first time.

Once the suspicious behaviour is identified, banks can choose between blocking the transaction or alerting the customer through other means to advise them that something is out of the ordinary. The art here is to strike the delicate balance between maximum protection against fraud – while avoiding blocking or questioning legitimate transactions, which can annoy customers and drain internal resources.

Avoid basing decisions on the typical banking customer but use advanced behavioural analytics to assess how that particular individual typically transacts. By using real-time intelligence on a user’s digital identity and their historical behaviour, banks can deliver security and customer satisfaction without compromise.

Banks implementing protocols like these can help ensure that customers are not placed in harm’s way and that cybercriminals are not entering into bank systems.

It is important to follow the latest fraud trends order to keep ahead of the curve. There will always be new technologies and techniques that increase the threat posed by criminals. However, in the same way technology may sometimes play against us, it also provides us with a number of tools which help us undermine attackers and keep businesses and customers safe.

Below Russell Bennett, Chief Technology Officer at Fraedom, discusses the future prospects for AI in the banking sector, and what 2019 may hold.

AI is incredibly complex and doesn’t represent a single technology. Rather, it’s a multidimensional field encompassing a range of different technologies and methods, each supporting and supported by the others[1]. The technology’s pace of evolution has grown exponentially in recent years and if AI’s benefits and limitations are understood, it’s believed this technology will have a tremendous impact on the banking industry in 2019.

With so much potential ready to be unleashed, where exactly will we see AI’s influence in the banking sector in 2019?

Chatbots and Virtual Assistants

While chatbots have been used by financial institutions for several years, thanks to advances in AI their capabilities have continued to grow. Whereas they were once only used to answer generic FAQs, for example, most chatbots are now capable of initiating and performing tasks on their own. Thanks to these developments, Juniper estimates that the introduction of chatbots and virtual assistants will save companies $8 billion per year by 2022[2]. This is set to be only one of the benefits to banks with Gartner suggesting that by 2020 consumers will manage 85% of their total business interactions with banks through fintech chatbots[3].

Juniper estimates that the introduction of chatbots and virtual assistants will save companies $8 billion per year by 2022

While this could be a source of worry for the banking workforce, in reality, there should be little concern. Rather than acting as a replacement for employees, banks instead seem to be looking at AI as a tool to help release pressure points and empower the workforce with Accenture even predicting that banks that deploy AI wisely will see a 14% increase in jobs[4].

In 2016, Santander became the first UK bank to launch voice banking technology[5]. Of course, since then a large variety of global banks have adopted this technology in one way or another, suggesting that banks are looking at utilising AI beyond chatbots. In fact, with Mariano Belinsky, managing partner of Santander InnoVenture, discussing natural language processing[6], it seems to only be a matter of time before virtual assistants come into use.

Driving Customer Insights

Last year, we saw a clear disconnect between banks and their smaller customers. In these situations, intelligent automation could well be the answer to support businesses and provide a better service as well as working seamlessly with third parties and fintechs, rather than against them.

In our recent study of SMEs in the UK and US, we found that less than 20% of SME owners thought that banks they had dealt with over the past year fully understood their needs as a business, demonstrating a clear lack of engagement. In 2019, using automated data collection on an ongoing basis, behind the scenes, can ultimately ensure bank relationship managers are better equipped with in-depth knowledge about their customers; hence best positioned to support their business and provide a better service.

Less than 20% of SME owners thought that banks they had dealt with over the past year fully understood their needs as a business.

Security and Compliance

One of the key differences between AI applications and other, more traditional technological solutions, lies in AI’s ability to continuously learn from the data it is supplied with, hence refining its decision-making processes over time.

Cybersecurity is a current hot topic for the financial services sector and regulatory compliance is another. AI can add real value in both of these areas. Machine Learning platforms can be coded to identify user patterns and detect anomalous network behaviour, something that’s increasingly essential as cyber-attacks are often disguised with inconspicuous data or code.

In recent years, technology has been a disruptor and an innovator. Technology is increasingly helping shape customers’ wants, needs and expectations. With a raft of new regulation encouraging the use of technology in banking, there’s nowhere left for anyone to hide. The technology revolution is in full swing and for banks, it’s very much adapt or die.

In the very near future, it is likely that AI will completely revolutionise banking. It will redefine how banks operate, what innovative products and services they create and how they evolve the customer relationship. Banks must, therefore, embrace this new technology or risk of falling behind in an extremely competitive environment.

[1] https://www.accenture.com/t00010101T000000Z__w__/gb-en/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Local/en-gb/PDF_3/Accenture-Redefining-Capital-Markets-with-Artificial-Intelligence-UKI.pdf

[2] https://www.juniperresearch.com/press/press-releases/chatbots-a-game-changer-for-banking-healthcare

[3] https://www.gartner.com/imagesrv/summits/docs/na/customer-360/C360_2011_brochure_FINAL.pdf

[4] https://www.accenture.com/gb-en/insights/banking/future-workforce-banking-survey

[5] https://www.santander.co.uk/uk/infodetail?p_p_id=W000_hidden_WAR_W000_hiddenportlet&p_p_lifecycle=1&p_p_state=normal&p_p_mode=view&p_p_col_id=column-2&p_p_col_pos=1&p_p_col_count=3&_W000_hidden_WAR_W000_hiddenportlet_javax.portlet.action=hiddenAction&_W000_hidden_WAR_W000_hiddenportlet_base.portlet.view=ILBDInitialView&_W000_hidden_WAR_W000_hiddenportlet_cid=1324582275873&_W000_hidden_WAR_W000_hiddenportlet_tipo=SANContent

[6] https://www.americanbanker.com/news/what-santanders-latest-bets-say-about-the-future-of-fintech

This ground-breaking reform changed previously rigid rules to make the financial services sector more competitive and focused on the customer. 

Cloud-based digital banks have taken advantage of this initiative by offering better services to customers, as 8 out of 10 Millennials say they would switch banks for personalised service. Such fintech players and challenger banks now account for 20 per cent of the banking and payments market in Europe.

However, acquiring these new customers is not enough for digital banks to stay competitive, according to customer relationship marketing experts at the customer data platform Optimove. Challenger banks need to find new and personalised marketing strategies to keep brand-agnostic customers loyal – or else they will be made irrelevant by other agile providers with better product offerings.

Roni Cohen, Director of Data Science at Optimove, comments:  “In the age of Open Banking, the best way for these agile technology driven banks to effectively implement personalisation is to make the most of the available customer data, which is now also available to their competitors.

“A customer-centric approach using advanced technologies can help create a long-term competitive advantage. This can be done by looking at customer data to find out what value means to each person, and communicating with customers in an emotionally intelligent way to create value for each and every customer. By using AI, banks’ marketers can gain actionable insights and build effective campaigns and strategies that will target customers at the right time, the right channel and with the right offer for a fully personalized experience.”

Roni concludes: “As consumers see an increasingly personalised experience, challenger banks will be able to distinguish their brands with promotions and rewards tailored to each individual – just like retailers do.”

(Source: Optimove)

Fortunately, Viktoria Ruubel, Chief Product Officer at IPF Digital, is here to help you stay ahead of the curve, looking forward to 2019 and the top trends that will dominate the industry over the coming year.

1. Banking in your back pocket

Mobile banking has been around for barely five years, but now it is ubiquitous. In the next five years, 72% of the UK population is expected to be banking via their phones. Paper money is dated – new transactional experiences define our daily spending, with contactless cards sharing a crowded market with mobile tech like tap-and-pay.

2018 saw millennials flocking to digital wallet providers like Monzo and Revolut. In 2019, this sort of tech will go mainstream, with a wider range of providers and services, all targeting improved customer experience, financial inclusion, and digital service.

2. The global fintech opportunity

The global payments industry processed over $1bn per day in 2017. In Latin America, and Sub-Saharan Africa, where traditional institutions shied away from investing, fintech firms have plugged the gap in the market.

The restrictions enforced by old-fashioned lenders have catalyzed the development of mobile banking. Mobile payments enabled by technology grant financial inclusion to users who wouldn’t meet the criteria for traditional banks

Smartphone adoption lies behind the accessibility of mobile banking – with a smartphone and internet access you can be part of the financial system without a bank account. More people than ever can contribute to the movement of money around the world, resulting in more opportunities for individuals to improve their financial situations, and for business to leverage credit for growth.

In 2019, fintech companies will recognize the massive markets that await outside of the traditional financial ecosystem.

3. Open Banking matures

Open Banking has won over its early sceptics and now has a strong place in the market, driven by the adoption of PSD2 regulation, new strategic partnerships, and increased customer expectations. 2019 will see open API reach maturity, with new products, customer experiences, business models, and opportunities created along the way.

Stripe, Mint, N26 – these are just some of the players using open API to offer products to both banked and unbanked segments. Meanwhile companies like Alipay and WeChat are building exciting new infrastructure which could drive the financial services revolution globally.

4. Applying artificial intelligence

The rapid advances in AI-enabled customer intelligence will drive the great leap forward in the 2019 financial industry, notably consumer lending. Chatbots and virtual assistants grew in popularity over the last two years, and consumers are increasingly comfortable using them to request information. Advances in voice tech mean that virtual assistants could soon submit loan applications on your behalf with a vocal signature.

Meanwhile, digital devices and pay for each other, to each other. Lending will become ‘real-time’ and AI learning will allow credit products to be personalized to each customer’s behavior.

For example, AI technology could analyse customer spending, and then suggest saving plans, helping consumers budget and borrow more sustainably. AI would then remind customers when they might need to borrow, how much to borrow and the schedule they should follow for repayments.

5. Securing data with biometrics

In developed global markets with high levels of smartphone use, biometrics are the next big step for financial services, in 2019 and the medium term as well. Biometrics will soon be integral to verification processes and payments - mobile banking apps already allow users to log in and pay with facial recognition, voice recognition and fingerprints.

The more financial institutions rely on digital, the more data security becomes a concern. Biometric technology one solution, maintaining the transactional security crucial to any sound financial environment.

This is according to Henry Umney, CEO of ClusterSeven, as he offers his views on the regulatory and risk management trends in the banking and financial services industry for 2019.

Brexit will confound banks in 2019, whatever the outcome

The UK’s departure from the EU at the end of March will continue to have a significant impact on the banking, insurance and asset management sectors throughout 2019, almost regardless of the nature of the final departure. Brexit uncertainty is presently forcing banks to implement their most stringent contingency plans, in terms of re-locating critical business services, processes, and in extremis, specific roles and personnel. To this end, division of data, processes and responsibility need to be managed carefully to ensure these changes are executed smoothly, efficiently and with full auditability. Further complexity is provided by the UK’s Prudential Regulatory Authority’s (PRA) announcement that institutions will be able to continue to trade as branches of their head office, rather than as a (more capital intensive) subsidiary post-Brexit. This, alongside the European Banking Authority’s (EBA) recent announcement that it sees ‘back to back trading’ between the City of London and the EU as beneficial, suggests that there is a willingness to find a modus vivendi that allows complex cross-border transactions and business processes to continue as normal, almost regardless of the final Brexit outcome.

This complex, conflicted environment will place a premium on understanding how disparate business processes and applications, including how end user supported processes (e.g. using spreadsheet-based applications) are configured, allowing institutions to respond quickly to new developments – and potentially even reversing previous decisions about re-locating people, roles and business units.

Regulators and auditors will demand mature model risk management

In the US, the momentum for a mature approach to model risk management will gather further pace as government frameworks including SR 11 7, CCAR/DFAST stress testing and CECL, for example, are more closely scrutinised and audited by regulators. Increasingly these governance frameworks are being extended to include the tools that feed the models and there is recognition of the significance of the spreadsheets and other end user supported applications to the models covered by these frameworks.

This approach to sophisticated model risk management will find favour with European regulators too, a trend that is already in motion with regulations such as TRIM and SS3/18. This is fundamentally driven by regulators’ collective objective of demanding visibility of critical models and enhancing the operational resilience of financial institutions. Effective data management, including that stored in spreadsheet-based and other end user supported applications, is central to these frameworks.

To meet the excellence in data governance and auditability as demanded by the regulators in the UK and US, financial institutions will be forced to apply the same level of controls to their end user supported application environment – as they apply to their broader corporate IT environment. This reflects that spreadsheets are often the ‘go to’ tool in developing a broad range of business and financial models.

The transition away from LIBOR will present a major operational challenge

Due to the enormity of the transition from LIBOR (London Interbank Offered Rate) to alternative reference rates (e.g. SOFR, Reformed SONIA SARON, TONAR), financial institutions will begin adjusting their processes and systems, in preparation for the switch to new reference rates by the end of 2021. The clock is ticking.

With a parallel universe of spreadsheets connected to enterprise systems such as risk, accounting models and a plethora of non-financial contracts, financial institutions will need to ensure that the relevant changes are also accurately reflected in the spreadsheet-based processes. Given the broad range of potential alternatives to LIBOR, it seems possible that multiple replacements may be in use in different jurisdictions. There will be a premium on being able to identify transactions and contracts quickly and efficiently, and applying the appropriate reference rate, quickly, efficiently – and again with full transparency and auditability.

GDPR has the hallmarks of expanding into a global framework, its compliance will need to be in organisations’ DNA

GDPR has all the makings of becoming a global standard. Already, California is taking the lead with the California Consumer Privacy Act (CCPA), which comes into force in 2020. Other US states are also considering similar regulations to protect the rights of their residents.

With a fine of $1.6 billion levied on Facebook this year, the EU has clearly demonstrated that it means business. In 2019, organisations will have to shift their GDPR focus to ‘sustainable compliance’. They will realise that inventorying IT systems for GDPR-relevant and sensitive data was merely a good first step to meet the compliance requirements on 25 May 2018. GDPR compliance will need to part of their DNA – requiring it to be a ‘business as usual’ activity. With unstructured confidential data (e.g. personal details of clients and employees) often residing in spreadsheets, visibility alongside continuous monitoring, controls and stringent attestation of information will be essential to meeting GDPR demands such as the right to be forgotten and data portability. Automated spreadsheet management will become critical to sustaining GDPR compliance.

As an enabler for increased competition and customer choice, open banking is transforming the banking sector for consumers, challenger banks, FinTechs and traditional players alike. The UK’s version of the second Payment Services Directive (PSD2), open banking is forcing UK banks to open their data sets via secure application programming interfaces (APIs), resulting in them re-positioning their services away from being one-stop shops for financial products, to open platforms, where consumers can embrace a more modular approach to banking by allowing third parties to access their financial data directly.

As we enter the second full year of an open banking environment, Kevin Day, CEO of HPD Software, the asset based lending and factoring software platform, discusses the opportunities and challenges that the sector is likely to face in 2019. 

Rapid and significant innovation in financial services to grow the market considerably

Open banking’s data sharing rules are aimed at developing new technologies and innovation, which have been advancing at a rapid pace, and which is expected to continue, resulting in increased competition between banking providers and FinTechs. The open API data, which includes account aggregation, improved financial management, credit scoring thin-file customers and integrated lending and accounting platforms allows companies to create bespoke products and target potential customers in a completely new way.

Through such innovation, customers will be able to quickly compare accounts, helping them to understand where to find the most suitable products. Financial management meanwhile could now be offered by an array of financial service providers, from established banks to charities, in a move that encourages customers to shift from traditional ‘under one roof’ banking services to specific, individualised services that are suitable for their personal financial situation. The potential revenue opportunity across a range of SME and retail customer propositions is estimated by PwC to be £2.3bn at the end of 2018, of which £1.8bn could be cannibalised by existing or new players in the market, with the remaining £0.5bn representing new revenue opportunities. Based on forecasts for adoption across the same markets over the next four years, PwC expects incremental revenue will total £1.3bn, where £5.9bn is ‘revenue at risk’.

A lack of homogenous technical standards may make operating processes susceptible to corruption and companies need to be clear on how they will safeguard their data against fraudulent activity.

Enhanced industry collaboration

Another considerable advantage of open banking is the enhanced industry collaboration that will result from data sharing as providers, traditional banks and FinTech companies will between them be able to offer something that the other cannot. With so many players in the financial services industry, the formation of partnerships between banks and their FinTech competitors will result in increased choice for customers, and will help both players to survive and expand their services in a rapidly evolving industry. Any new products formed through such forward-thinking partnerships will likely see the benefits at both ends of the spectrum.

Traditional customer platforms are going to change

Open banking will enable a new league of consumer profiling that will require minimum effort to find the most relevant information on products and services across the industry that are tailored to their individual needs and history. From personalised investment solutions to retail overdraft decoupling, the shift in data optimisation will become the new normal, altering the way traditional price comparison platforms operate. This movement won’t stop there: bank account and transaction data can provide an opportunity to collaborate across different sectors where retailers, utility providers and tech companies can function together on aggregated data platforms.

Access to consumer data increases responsibility around security

The opportunities created by initiatives such as open banking, which have the potential to transform the industry, of course come with responsibilities, and one of the major challenges will be around managing risks related to security. A lack of homogenous technical standards may make operating processes susceptible to corruption and companies need to be clear on how they will safeguard their data against fraudulent activity. Any major data breach is likely to negatively impact retail customer uptake – many consumers consider their financial data more personal than their medical information. With complex chains of data access, both banks and FinTechs must also consider the obstacles associated with responsibility for any security breaches, and ensure that their software is able to identify, predict and react to risks or breaches in good time.

By bringing third-party providers into the banking system, there is a considerably increased risk of scammers gaining access to customer information.

Liability becomes an issue

By bringing third-party providers into the banking system, there is a considerably increased risk of scammers gaining access to customer information and the finance provider will be liable, unless there is evidence of fraud or negligence. With both banks and FinTechs alike facing increased security threats, without proper legal clarification, it’s inevitable that finance providers will do what is necessary to push liability on third parties.

Open banking is still a relatively new initiative

A lack of awareness and education around the capabilities of open banking will be its greatest challenge in the short term. Finance providers will need to convince customers of the benefits of sharing their data in the first instance, and as yet, banks are not marketing open banking, which directly impacts the ability for it to innovate and provide new propositions.

While the corporate sector and SMEs in particular seem far more willing to embrace open banking, consumer review body Which?, has found that 92% of consumers had never even heard of the initiative. As such, banks and FinTechs need to embark on a considerable education programme for consumers to better understand the benefits of open banking and how it can help them take control of, and better manage their finances, from monitoring spending to making better savings and investment decisions.

For finance providers in the Asset Based Finance space, there are opportunities to leverage efficiencies from open banking, in particular in the area of cash processing with the potential for virtual bank accounts to streamline cash reconciliation. There are also value added services that can be offered to SMEs to assist them with other aspects of running their businesses. Finance providers will need to have an open mind and be prepared to collaborate with FinTechs and other technology providers.

Once banks have stronger propositions to offer their customers, they will become more vocal and the lack of awareness will gradually cease to be an issue. For the financial services industry and new entrants alike, it is important that all parties embark upon this education programme with the proper systems in place for proper levels of monitoring, security and scalability to ensure a success of the industry.

Website: https://www.hpdlendscape.com/

According to recent research by IDEX Biometrics, more than half (53%) of cardholders would trust the use of their fingerprint to authenticate payments more than their PIN.

A further 56% of research respondents stated that they would feel more secure conducting purchases with their card, if they were authenticated with their fingerprint. It seems that payment card users are very aware of the limitations of their PIN with almost half (45%) admitting that they never change them. And a third (29%) expressing concerns that PINs cannot be relied on to keep their money secure.

This scepticism around current card security measures also extends to contactless payments with 63% questioning their security and 70% believing that they actually leave them exposed to theft and fraud when used.

It is evident, that as a nation, we are ready for the introduction of biometric fingerprint card authentication. The only area of concern users admitted to, was how their fingerprints would be stored. 45% were worried that criminals could mimic their fingerprint biometric data and a further 51% was concerned about the possibility of it being stored in a bank’s central database - leaving them exposed to identity theft or their personal information being used without their knowledge.

These findings highlight that banks need to provide reassurance that biometric fingerprint authentication can be used in a user-friendly manner. There is no need for this information to be retained centrally and that any fingerprint data is kept with the user on their own cards. Providing customers with the confidence that they can embrace fingerprint biometrics as a more secure and personal method of authentication for their payments.

“Consumers are ready for the use of biometric fingerprint methods of authentication for card payments and it is set to be a reality in 2019, but banks have a responsibility to address security concerns, particularly in relation to how and such data is held. It is ultimately up to the banks and the financial services sector to reassure consumers to drive adoption and ultimately tackle fraud head-on,” comments Dave Orme, SVP at IDEX Biometrics.

“With a resounding 53% of consumers stating they would trust the use of their fingerprint to authenticate payments more than the traditional PIN, this must be where the UK banking industry focuses its attention. Chip and PIN is now 12 years old, and has seen its course. The consumer demand for fingerprint methods of authentication is a reality, with two-thirds (66%) of UK consumers expecting their roll out to authenticate in-store card transactions by 2019,” added Orme.

(Source: IDEX Biometrics)

Below, Rune Sørensen, at Nets, explores with Finance Monthly the impact that sophisticated card infrastructure can have on mobile-led banking.

All this innovation is pushing and pulling card infrastructures in ways no-one could have predicted a decade ago. Mobile banking, ecommerce integration, loyalty and rewards schemes and even IoT payments all link to cards. That’s a lot to ask of a back-end system.

So the question is: how can issuers balance a need to be perceived as innovative with providing a reliable, compliant and fit-for-purpose payment infrastructure?

Payment revenue is falling, so issuer’s profit margins are being squeezed. Technological change is advancing faster than internal systems can be updated, and the demand for developers with the skills to design and implement back-end solutions is growing faster than supply. As a result, the most forward-thinking banks are taking a critical look at their go-to-market strategies, and questioning if a business model where they design, implement and maintain their own systems is still feasible.

Technological change is advancing faster than internal systems can be updated, and the demand for developers with the skills to design and implement back-end solutions is growing faster than supply.

Take payment gateways as an example. Banks need a payment gateway to the card schemes as they are the backbone of broad e-commerce payment acceptance for their customers, thereby enabling banks to benefit from the international e-commerce market - set to grow to $4.5 trillion by 2021[1]. To avoid locking themselves in with a single scheme, these gateways must also be card scheme agnostic. Issuers now have the choice of whether to develop and maintain these gateways themselves, or to prioritise reliability and time to market by working in collaboration with a trusted partner.

The debate around outsourcing infrastructure has been simmering under the surface for the last few years, and was brought into focus by the Second Payment Services Directive (PSD2). Open banking is bringing huge opportunities to banks because the importance of national borders in the provision of financial services is diminishing. This opens up the market and benefits consumers, and enables banks to target whole new countries of potential customers. However, these opportunities come hand in hand with two significant challenges.

Open banking is bringing huge opportunities to banks because the importance of national borders in the provision of financial services is diminishing.

First, banks must ensure that their payments infrastructure is compliant not only with EU and their own national regulations, but the domestic regulations of any other international markets they intend to enter, as well as the complex and constantly evolving requirements of the card schemes. Card scheme compliance alone is a great responsibility, demanding increasingly more resources as the service portfolio diversifies and becomes more complex, predominantly driven by mobile payment enablement. This is an enormous undertaking – and one difficult to justify when there are dedicated providers of back-end systems offering full compliance for less than it would cost a bank to create and maintain it themselves.

Second, scalability is key. In the increasingly globalised world of financial services, exciting new products must be made available to all customers at the same time, without any of the downtime associated with launching new products and systems. Stability and security are fundamental to banks; innovation alone means nothing.

It’s clear that, in an era where banking and financial services are evolving faster than ever before, banks need to put their money where it counts. A flexible and reliable card infrastructure will be crucial to a successful transition as more and more financial services move to being predominantly mobile – and in the future, maybe even mobile-only.

Although most consumer-facing financial institutions now offer mobile applications, that doesn’t mean that they are ready for a world where smartphones are the primary point of contact with their customers. This is a new reality, and as the industry changes issuers must evolve too. Those that survive and thrive will be the banks that focus on their delivered customer journey and value-adding core business areas – and it’s time to ask if this really includes developing and maintaining back-end systems.

So, put your cards on the table. Is your infrastructure up to the challenge?

[1] https://www.shopify.com/enterprise/global-ecommerce-statistics

Consumer trust in banks has plummeted in recent years. The 2008 financial crisis, as well as recent examples of bad practice such as TSB’s IT meltdown which compromised millions of accounts, has led to many consumers questioning whether their bank really has their best interests at heart. Indeed, RBS chief Ross McEwan recently predicted that it could take up to a decade to rebuild lost customer trust following decades of poor treatment.

In fact, as many as one in five customers (20%) no longer trust banks to provide them with a loan – ostensibly one of a bank’s primary functions.

Despite this mistrust, consumer appetite for credit remains high. We’re therefore seeing a rise in alternative lenders offering customers the flexibility and transparency customers desire - and which many traditional banks have conspicuously neglected – which could spell the end of the traditional banks’ role as leaders in the lending sector.

But how has the lending process evolved and what does this mean for traditional banks?

The rise of new consumer lending models

While consumers are willing to borrow outside of traditional banks in the wake of these institutions having cut back on unsecured lending, they will no longer trust a provider which does not operate transparently or ethically – as evidenced by the collapse of Wonga. This, combined with recent regulatory action from the FCA, has heralded a wave of change within the financial lending sector.

Following the lead of disruptive, digitally-focused providers such as Uber and AirBnB in other sectors, a number of fintech disruptors - such as Atom and Monzo - have materialised. These brands have analysed the day-to-day banking issues customers face – such as a lack of transparency and poor user experience (UX) - and designed their services from the ground up to mitigate these issues.

From taxi apps that invite you to register a payment mechanism, to autonomous vehicles that pay for their own parking or motorway tolls, “banking” without the need for a bank will gradually become a more everyday experience. In this vein, so too will consumer lending change through organisations that offer finance at the point of sale itself – both online and in-store - moving from traditional pre-purchase credit to a far more seamless service.

Flexible point-of-sale lending is changing the nature of financial transactions across a range of sectors, including how to fund a holiday, buy a house, and even pay for medical treatments at a rate which suits the customer. The potential of this lending method is huge, with more than three quarters (78%) of consumers saying they would consider using point-of-sale credit in the future.

What does this mean for traditional banks?

People seldom wake up in the morning thinking “I must do banking”. Banks don’t tend to inspire the levels of consumer loyalty seen in other sectors, and they must therefore work far harder to retain customers. Given this, the ongoing reticence of banks, to both lend and offer customers what they want, has created a gap in the finance market, which could be the death knell for traditional banks if left unchecked.

As frictionless point-of-sale lending businesses and customer-centric fintech brands continue to thrive, several key banking functions – such as money management and consumer lending - may be replaced entirely by newer, more agile providers. For example, could the fact that providers are now offering finance in the property sector put an end to the traditional mortgage?

If this growth of smaller, more agile disruptors continues, banks are highly likely to see reduced customer numbers. It was recently predicted that banks could lose almost half (45%) of their customers to alternative finance providers, and if banks do not adapt their offering there is a real danger they may be driven out of the market altogether.

Simply put, if banks do not place a greater focus on what customers want – flexibility and transparency – their status as the stalwarts of the lending market may soon be a thing of the past.

Amidst a large swathe of planned job cuts at Lloyds, at the beginning of November the bank announced that there was a silver lining - a £3 billion investment programme that will see the country’s biggest high-street lender radically transform its digital strategy. While 6,000 existing roles are being cut from a broad range of areas, 8,000 are being created to focus on areas of digital expansion, including in the group transformation unit. And, the CEO of Tectrade Alex Fagioli points out, it’s about time for Lloyds, as it begins to play catch up with an industry that has quietly been revolutionised by high-street banks and start-ups that have gone all-in on digital banking.

Digital banking provides a great deal of benefits to administrators and alike. Customers are given a more flexible way of banking, accessing their accounts and transferring their money without relying on bank hours. Managers have an unprecedented insight into the activity of branches and can offer services to their customers which they had previously been incapable of. However, the challenges and risks that come with digital transformation have led traditionally large financial institutions like Lloyds to poorly implementing such practices to the detriment of all involved.

In April, a routine systems upgrade at TSB went awry and left 1.9 million customers locked out of their accounts for up to a month. Similarly on Friday 1 June, 5.2 million transactions using Visa failed across Europe as a result of one single faulty switch in one of Visa’s data centres. This isn’t just a continental issue; Atlanta-based Sun Trust – a bank with 1,400 bank branches and 2,160 – experienced a significant outage to its online and mobile banking platforms in September due to a botched upgrade. In all of these cases, the outages weren’t the result of cyberattack or weather-related problems. Instead, these outages came as a result of seemingly insignificant technical factors that had been overlooked – and Lloyds would be wise to heed these cautionary tales.

The challenges and risks that come with digital transformation have led traditionally large financial institutions like Lloyds to poorly implementing such practices to the detriment of all involved.

In the first two instances, cause of the outages are very clear– and they were entirely preventable. TSB rushed into an upgrade by hastily initiating the update across its entire system. For a technical reason that we will likely never know, the update tanked the entire bank and left it at a standstill while it tried to pick up the pieces. Even when it managed to get everything back in place, TSB is now permanently scarred by the event, with its reputation still reeling. The prevention for this would have been a gradual rollout, as opposed to a sweeping installation. If the upgrade was initially piloted with non-essential systems, then the bugs would likely have been spotted early, with little fuss and no media spotlight.

Likewise, the Visa incident came as a result of a single faulty switch and that betrays a lack of understanding of its own systems. It is shocking how few companies have carried out any form of disaster recovery testing on their infrastructure. Administrators are incapable of having a full understanding of the systems they are responsible for without testing them in a controlled and simulated environment. With a controlled disaster test, that faulty switch would have been highlighted and those 5.2 million transactions would have been completed. It’s similar to a car – the reason that MOTs are essential is so that any issues can be highlighted well ahead of them having a serious effect on the vehicle’s performance. Banks must carry out a cyber MOT in order to keep their systems in check and to give IT teams a full working knowledge of any potential issues.

But this is all in the case of preventable issues, and in the modern day accepted wisdom is not if, it’s when outages will happen.

Thus far we’ve only addressed routine operations, but cyberattack is of course an omnipresent threat. Ransomware has spent the past couple of years as the ‘big bad’ in cybercrime, and it is an even bigger threat to the financial sector. Over the past 12 months, the financial services and insurance sector was attacked by ransomware more than any other industry, with the number of cyberattacks against financial services companies in particular, rising by more than 80%.  If a bank were to be hit by a ransomware attack, all online systems for banking and insurance transactions will need to be taken offline, rendering that organisation unable to operate. According to a report from Osterman Research, there is a 50% chance of employees in this industry suffering productivity loss, a 30% chance that the financial and insurance services will shut down temporarily, and a 20% chance of revenue loss and adverse effect on customer perception. In cases of ransomware, data recovery can be very difficult as there is a large amount of customer information stored in a variety of disparate systems. As such, many organisations may feel they have no choice but to pay the fee demanded of them to regain access to the data.

Over the past 12 months, the financial services and insurance sector was attacked by ransomware more than any other industry, with the number of cyberattacks against financial services companies in particular, rising by more than 80%.

Equally as unpreventable are environmental factors. Areas like the Southern States of the USA are frequently dominated by hurricanes and tropical storms which can cause large disruptions to everything from schools to banks. Many of these buildings have to be built with this in mind, and network operations should be created with the same mindset. In the UK, by contrast, we don’t have to deal with such extreme weather conditions, but environmental considerations must be made with the potential for freak accidents. A burst pipe in a shared building or road workers drilling through electrical or network cabling, for example, could see a bank offline for an indeterminate period of time outside of its control. One example of this in action was with National Australia Bank, which suffered a power outage that downed ATMs, Eftpos and online banking across the country for five hours in May.

In all of these situations where outages can occur, banks must make sure they have the capacity to get their systems back online and fast. The best way to do this is by adopting a zero-day approach to architecture. Zero-day architecture won’t prevent an outage, but it will mitigate the effects. It allows organisations to minimise downtime and recover from backups without having to worry about lost data.

A zero-day recovery architecture is a service that enables administrators to quickly bring work code or data into operation in the event of any outages, without having to worry about whether the workload is still compromised. An evolution of the 3-2-1 backup rule (three copies of your data stored on two different media and one backup kept offsite), zero-day recovery enables an IT department to partner with the cyber team and create a set of policies which define the architecture for what they want to do with data backups being stored offsite, normally in the cloud. This policy assigns an appropriate storage cost and therefore recovery time to each workload according to its strategic value to the business. It could, for example, mean that a particular workload needs to be brought back into the system within 20 minutes while another workload can wait a couple of days.

Without learning the lessons of the high-profile outages that have come before it from banks that have undergone their own transformations, Lloyds is doomed to repeat the same mistakes.

As it begins its massive investment in digital transformation, Lloyds could very easily sink its budget into exciting features that promise to improve the lives of customers and employees. However, without learning the lessons of the high-profile outages that have come before it from banks that have undergone their own transformations, Lloyds is doomed to repeat the same mistakes. You can promise all the features in the world, but without a solid foundation the bank will essentially be a house of cards, ready to collapse at the slightest sign of danger. All banks, regardless of size, must prioritise the minimisation of downtime by having common sense policies in patch management, full knowledge of a system gained through disaster testing and a recovery strategy in place that enables it to get back online at speed.

https://www.tectrade.com

With increasing high-street competition, AI is redefining the banking sector with each and every customer interaction. With banks, like NatWest, deploying AI-based virtual assistants to offer customer-facing communication around the clock, the consumer banking experience is now heavily digitised, with 86% of banks stating they now use AI technologies in some way. 

Martin Linstrom, Managing Director for UK and Ireland at IPsoft, looks at the next stage in technological evolution of the banking industry and how artificial intelligence (AI) will redefine banking as we know it.

The banking industry has made huge strides to drive innovation by investing in new technologies over the last few decades. Commercial banks first adopted telephone banking, then came internet banking and now, for most customers, all your financial services needs can be met via an app. Now, as we enter the conversational era enabled by cognitive AI, customer expectations have evolved once again.

Banks have long been ahead of the curve in terms of elevating the user experience for their customers and so, it’s perhaps unsurprising that many are already looking to AI-powered digital assistants and are investing in cognitive solutions to upgrade and scale customer-facing financial management processes. Many banks are also looking at how they can provide the same simple, frictionless service to their own employees.

Banks have long been ahead of the curve in terms of elevating the user experience for their customers and so, it’s perhaps unsurprising that many are already looking to AI-powered digital assistants

As AI-powered customer interfaces gain mainstream acceptance, we will once again see a revolution in technological change within the banking industry. So, what functions within banks will cognitive assistants transform?

Building a hybrid workforce

Virtual assistants have a twofold capability which is driving innovation in the banking industry. Firstly, they can be implemented in back office functions such as finance or HR and secondly, they can supplement customer service centres. Creating a hybrid workforce of human employees and AI-powered virtual assistants can help drive enormous cost efficiencies and increase staff productivity. Employees in administrative roles can pass their repetitive tasks over to their digital colleague, freeing up their time to focus on more creative or interesting work that requires soft skills whilst customer service agents can pass standard requests through an AI system leaving them with only the most complex of customer queries to deal with.

Ubiquitous customer services

One of the most attractive things about AI-powered customer services for banks is its ubiquity. With virtual customer service agents available 24/7 and through a variety of channels such as live message, telephone or email, it’s a win-win situation for both bank staff and customers. From a customer’s perspective, simple requests such as password resets or international transactions can be performed in an instant and there’s no need to visit the bank or spend an hour in a telephone queue to speak to a human agent.

One of the most attractive things about AI-powered customer services for banks is its ubiquity.

Banks adopting customer-facing AI solutions are in fact seeing increased customer satisfaction rates despite removing the human-to-human contact element. For example, since implementing IPsoft’s AI solution, Amelia, SEB, a leading Nordic bank has been able to avoid 544 hours of escalations to customer support with an average handle time of six minutes. What’s more, Amelia has reached an 85% accuracy in immediate intent recognition which has meant a faster service delivery to customers and soaring customer satisfaction.

24/7 banking support

Unlike human agents, digital assistants can work around the clock, seven days a week with no breaks and without tiring. For modern consumers, particularly young digital natives who expect to be able to manage their finances at any time of the day, integrating AI into a bank’s customer service centre will soon become the norm. Chatbots are already an industry standard, therefore at the very least, banks that don’t continue scaling this technology throughout their business will find themselves at a severe competitive disadvantage, trailing behind the market by delivering an inferior customer service experience.

Go beyond simple chatbots

Digital assistants with cognitive intelligence capabilities represent the next leap in automation for financial institutions. Digital colleagues like Amelia are now able to perform tasks above and beyond mere transactional ones, digitising more complex financial management processes such as wealth management onboarding and mortgage applications. Unlike simple chatbots, digital colleagues are also able to develop their cognitive abilities through an advanced Natural Language Interface (NLI) which can process customer queries asked in hundreds of different ways, including slang. More importantly for the banking industry, they can handle context switching so that when a customer moves quickly from one request to another, the interface is able to process both requests without starting over.

Many banks have already integrated voice capabilities into their finance management solutions. Customers communicate via text or voice to gain quick answers to banking questions, tailored financial advice and can even carry out transactions all from the same channel. Voice-enabled digital assistants can handle payments and transfers, credit card activation, charge disputes and travel alerts for customers at any time, freeing up customer services teams to focus on more complex customer enquiries and giving customers full control and access to their finances. Conversational AI will become more and more widely accepted as banks start to harness the technology to help drive customer engagement and operational efficiencies.

Sophisticated systems can recognise patterns from the sheer amount of data that they are processing. Thanks to these capabilities, businesses can easily find out the most common types of transactions by customers of a certain demographic and can then retarget this group for specific marketing or sales campaigns, helping to drive revenue.

Delivering better insights and improved security

Unlocking key business insights is another key driver motivating banks to invest in AI. Sophisticated systems can recognise patterns from the sheer amount of data that they are processing. Thanks to these capabilities, businesses can easily find out the most common types of transactions by customers of a certain demographic and can then retarget this group for specific marketing or sales campaigns, helping to drive revenue. These real time insights can help business leaders make better, more strategic decisions that are informed through concrete data.

Real-time data mining can also be applied to improve customer security as many AI tools have built-in privacy and security by design. An AI-powered virtual assistant can pick up on irregular payments immediately, flagging potential “phishers” to a human agent for additional authentication. What’s more, advanced machine learning solutions can improve over time so that banks can continue to scale up their services. Virtual assistants like Amelia can go one step further by ‘learning on the job.’ Essentially, when Amelia does not understand a request or query she can pass it on to a human colleague but remains in the conversation to learn how to resolve the issue next time.

The future of retail banking

The financial services industry has long been at the forefront of technological innovation. Whilst many businesses are still debating whether to invest in AI, major banks are very much leading the way to invest in the technology and are thriving as a result. As virtual assistants become increasingly more intelligent and their cognitive abilities develop, the expectations for banks and the services they offer will be elevated. Banks that rest on their laurels and refuse to acknowledge this risk falling behind permanently, particularly with the slew of challenger fintech companies that are appearing on the market, offering dynamic and tailored financial services at a lower price.