Banks Risk Missing This Competitive Advantage

Artificial intelligence is undergoing an evolution in the financial services space: from completely innovative “hype” to standard operating technology. Banks not currently exploring its many applications risk being left behind.

For now, artificial intelligence remains a competitive advantage at many institutions. But AI’s increasing adoption and deployment means institutions that are not currently investing and exploring its capabilities will eventually find themselves at a disadvantage when it comes to customer satisfaction, cost saves and productivity. For banks, AI is not an “if” — it’s a “when.”

AI has proven use cases within the bank and credit union space, offering a number of productivity and efficiency gains financial institutions  are searching for in this low-return, low-growth environment. The leading drivers behind AI adoption today are improvements in customer experience and employee productivity, according to a 2020 report from International Data Corporation. At Microsoft, we’ve found several bank-specific applications where AI technology can make a meaningful impact.

One is a front-office applications that create personalized insights for customers by analyzing their transaction data to generate insights that improve their experience, like a charge from an airline triggering a prompt to create a travel notification or analyzing monthly spend to create an automated savings plan. Personalized prompts on a bank’s mobile or online platform can increase engagement by 40% and customer satisfaction by 37%; this can translate to a 15% increase in deposits. Additionally, digital assistants and chatbots can divert call center and web traffic while creating a better experience for customers. In some cases, digital assistants can also serve as an extension of a company’s brand, like a chatbot with the personality of “Flo” that auto insurer Progressive created to interact with customers on platforms like Facebook, chat and mobile.

Middle-office fraud and compliance monitoring are other areas that can benefit from AI applications. These applications and capabilities come at a crucial time, given the increased fraud activity around account takeovers and openings, along with synthetic identity forgery. AI applications can identify fraudsters by their initial interaction while reducing enrollment friction by 95% and false positives by 30%. In fact, IDC found that just four use cases — automated customer service agents, sales process recommendation and automation, automated threat intelligence and prevention and IT automation — made up almost a third of all AI spending in 2020.

There are several steps executives should focus on after deciding to implement AI technology. The first is on data quality: eliminating data silos helps to ensure a unified single view of the customer and drives highly relevant decisions and insights. Next, its critical to assemble a diverse, cross-functional team from multiple areas of the bank like technology, legal, lending and security, to explore AI’s potential to create a plan or framework for the bank. Teams need to be empowered to plan and communicate how to best leverage data and new technologies to drive the bank’s operations and products.

Once infrastructure is in place, banks can then focus on incorporating the insights AI generates into strategy and decision-making. Using the data to understand how customers are interacting, which products they’re using most, and which channels can be leveraged to further engage — unlocking an entire new capability to deliver business and productivity results

In all this, bank leadership and governance have an important role to play when adopting and implementing technology like AI. Incorporating AI is a cultural shift; executives should approach it with constant communication around AI’s usage, expectations, guiderails and expected outcomes. They must establish a clear set of governance guiderails for when, and if, AI is appropriate to perform certain functions.

One reason why individual banks may have held off exploring AI’s potential is concern about how it will impact current bank staff — maybe even replace them. Executives should “demystify AI” for staff by offering a clear, basic understanding of AI and practical uses within an employee’s work that will boost their productivity or decrease repetitive aspects of their jobs. Providing training that focuses on the transformational impact of the applications, and proactively creating new career paths for individuals whose roles may be negatively impacted by AI show commitment to employees, customers, and the financial institution.

It is critical that executives and managers are aligned in this mission: AI is not an “if” for banks, it is “when.” Banks that are committed to making their employees’ and customers’ lives better should seriously consider investing in AI capabilities and applications.

 

How Banks Can Increase Cybersecurity Risk Management


cybersecurity-5-6-16.pngIn mid-2015, executives at a bank in Russia awoke one morning to discover that the institution had lost millions of rubles overnight through a series of unauthorized withdrawals made through the automated teller machines of other banks. Earlier in the year, the Russian ruble experienced a volatile 14-minute long swing in the exchange rate that resulted in one financial institution’s reported loss of $3.2 million due to trades. Another well-coordinated attack in 2013 resulted in a loss of $45 million taken from ATM locations around the world when hackers eliminated the cash-withdrawal limits for 12 debit card accounts.

Such attacks are not limited to Russian banks; hackers and other cyber criminals are threatening the security of financial institutions around the world. The rise in cyber threats puts a spotlight on the vulnerability of the IT systems at many financial institutions—and intensifies the need to implement more robust security procedures to protect institutional assets.

A comprehensive assessment of an institution’s cybersecurity environment would have gone a long way towards establishing appropriate technology governance and protecting the assets of those Russian banks.

Targeting the Weakest Link
The most common and effective form of cyberattack is social engineering—that is, contacting personnel by email or phone and duping them into disclosing confidential information that can subsequently be used to gain access to systems and data. Alternatively, emails can be opened by employees who unwittingly release customized and often quite sophisticated malware (the software used by hackers to infiltrate IT systems).

Financial institutions are clearly not immune to such attacks and the opportunities and attempts for unauthorized access have increased. Yet some security mechanisms such as firewalls are no longer enough to protect an institution from modern threats. Although in some cases they thwart cyberattacks, outdated banking processes and systems are commonly the weak link exploited in these scenarios.

Implement a Risk-Based Approach
Most banks would claim they have a rich risk-assessment process, and to an extent, this may be true. But the focus is often primarily on business risk, not cybersecurity, and therein lies the issue. As a result, areas of weakness such as interconnection to ATMs may be overlooked. In addition, most banks have limited personnel and security resources dedicated to IT so, despite being attacked virtually every day, they cannot react to all alerts. Moreover, a bank’s internal enterprise risk management group may not be familiar with current risks or trained to respond to advanced threats.

IT investments will be based in part on whether or not the institution has been compromised historically; if management thinks a breach won’t happen, they probably won’t invest heavily in cybersecurity. Larger banks may have the resources to absorb the costs caused by a cybersecurity attack, but that is not true for all financial institutions.

There are a number of steps that financial institutions can take in order to mitigate IT security risks:

  • User awareness training: One of the most effective actions that any organization can take to reduce the risk of successful security attacks is employee and customer education. Strong awareness and education processes are critical actions to take to minimize the risks that social engineering poses. Training will differ, depending on the roles and responsibilities of the users, but an educated workforce and customer base are strong defenses against attacks.
  • Review and apply controls using a risk-based approach: To be truly effective, a risk assessment must get down into the weeds. A robust compliance program will evaluate—and periodically re-evaluate—threats in the entire universe of the banking system.
  • Identify weaknesses: If the bank doesn’t examine the weaknesses in their systems, the hackers will. There is a reason why the hackers used the ATMs owned by one bank to steal money from another institution—they knew that most systems would give them a few hours’ lead time before their withdrawals were reported. Understanding this weakness and implementing mitigating controls such as alerts could have at least minimized the damage inflicted by such an attack.
  • Add controls: Management must develop and implement controls that are designed to keep incidents from occurring and serve as a deterrent against unauthorized access. That said, it should also be assumed that these controls will eventually fail at some point. Therefore, detective controls will help to monitor and alert an organization of any malicious or unauthorized activity, including malicious activity—taken knowingly or not—by employees. In addition, corrective controls can help limit the scope of an incident and contain unauthorized activity.

With so much at stake—potential financial losses, compromised brand reputations, access to operational capital and possible regulatory violations—taking action is a business imperative.

The Risk of In-Market Mergers



While only 20 percent of M&A deals in the past five years were in-market, banks considering this strategy could benefit greatly from this plan. However, there are special risks that can arise from a merger of this kind.

In this video, C.K. Lee of Commerce Street Capital explains both the pros and cons of in-market mergers by addressing these questions:

  • Why do in-market mergers?
  • What should you consider before agreeing to an in-market merger?
  • What sort of cost savings and earnings accretion should you expect?
  • What are some possible drawbacks to in-market mergers?