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Cyber Laundering and Cyberterrorism: A Comprehensive Analysis

In our increasingly digitized world, the landscape of financial crime has transformed dramatically. Criminals have adapted to technological advances, giving rise to two particularly nefarious activities: cyber laundering and cyberterrorism.

These emerging threats demand urgent attention and a thorough understanding not only from law enforcement agencies but also from financial institutions and regulatory bodies. This blog post aims to explore the intricacies of cyber laundering and cyberterrorism, their processes, evolving trends, and the technologies that can help combat these threats.

Understanding Cyber Laundering

Cyber laundering represents the digital evolution of traditional money laundering. It involves the use of online platforms, including cryptocurrencies and online banking, to obscure the origins of illicit funds and facilitate their transfer.

Unlike traditional money laundering, which often relies on physical locations—such as casinos and banks—cyber laundering is conducted entirely online, making it particularly challenging to detect and prosecute.

The Process of Cyber Laundering

Cyberlaundering typically follows a three-stage process that mirrors the conventional money laundering model:

  1. Placement: In this initial stage, illicit funds are introduced into the digital ecosystem. Cybercriminals often utilize anonymous transactions to obscure the origins of these funds.
  2. Layering: This stage involves a series of transactions across various jurisdictions and currencies to further disguise the illicit funds’ origins. Techniques in this phase can range from employing multiple cryptocurrencies to creating complex webs that obscure the money trail.
  3. Integration: The final phase aims to reintroduce the “cleaned” funds into the legitimate financial system—often through investments, asset purchases, or seemingly legitimate business operations.

Types of Cyber Laundering

Cyber laundering can be categorized into two broad types:

  1. Instrumental Digital Laundering: This type leverages digital tools merely to facilitate the various stages of the money laundering process.
  2. Integral Digital Laundering: A more complex subtype that occurs entirely within cyberspace, utilizing digital assets like cryptocurrencies. This method allows for the movement of funds without leaving a tangible trace, creating significant challenges for investigators.

Methods Used in Cyber Laundering

Criminals employ an array of sophisticated techniques to execute cyber laundering, including:

  1. Cryptocurrency Transactions: Digital currencies such as Bitcoin offer high levels of anonymity, making them attractive for the movement of illicit funds.
  2. Online Gaming: Transactions involving virtual goods and in-game currencies can provide a means for untraceable financial exchanges.
  3. Digital Wallets and P2P Exchanges: Payment platforms like PayPal complicate the tracing of transactions due to their peer-to-peer nature.
  4. Crowdfunding Platforms: Illicit funds can be intricately woven into seemingly legitimate crowdfunding campaigns.
  5. High-Volume, Low-Value Transactions: Conducting numerous small transactions can help evade detection by regulatory authorities.

The Threat of Cyberterrorism

Cyberterrorism refers to the use of the internet and technological tools to threaten or attack critical infrastructures. Such acts can cause significant physical harm, economic losses, or induce panic within society. The ramifications of cyberterrorism extend beyond mere financial crime; they jeopardize national security and public safety.

Noteworthy Cyberterrorism Attacks

Several notable incidents have underscored the urgency and seriousness of cyberterrorism:

  1. SolarWinds Attack (2020): This pivotal supply-chain attack compromised multiple government and corporate systems, highlighting vulnerabilities in critical infrastructure.
  2. WannaCry Ransomware Attack (2017): A globally impactful ransomware attack that infected over 200,000 computers across 150 countries, demanding ransom payments for data recovery.
  3. NotPetya Attack (2017): Disguised as ransomware, this attack targeted Ukrainian businesses, causing widespread disruption and devastation.
  4. Operation Cloud Hopper: A global cyber espionage campaign orchestrated by a Chinese state-sponsored group, illustrating the international ramifications of cyberterrorism.

Trends and Insights

1. Cyber Laundering in APAC

The Asia-Pacific (APAC) region is rapidly becoming a hotspot for cyber laundering activities, driven by rapid technological advancement and a burgeoning fintech sector. The diverse regulatory environments across APAC countries create loopholes that cybercriminals are eager to exploit. Rapid digital transformation has led to an unprecedented increase in new financial services, making it critical to understand emerging trends in compliance and enforcement.

2. Regulatory Challenges

As cybercriminal tactics grow more sophisticated, financial organizations must adapt their compliance strategies swiftly. A robust understanding of technological advancements and emerging threats is essential for effectively guarding against cyber laundering. Establishing an agile regulatory framework that keeps pace with technological innovations is vital.

3. The Role of Technology

In the fight against cyber laundering and cyberterrorism, technology is a powerful ally. Machine learning algorithms and data analytics can be deployed to develop innovative compliance solutions capable of detecting suspicious activities in real-time. Investing in advanced technologies can assist institutions in identifying potential threats before they escalate.

Conclusion

The complexities and dangers posed by cyber laundering and cyberterrorism necessitate a multifaceted approach involving collaboration among regulatory authorities, financial institutions, and law enforcement agencies. The ongoing cat-and-mouse game between cybercriminals and authorities requires continuous vigilance, updates in regulatory measures, and particularly the adoption of advanced technologies. Organizations like Tookitaki are playing a crucial role in developing innovative compliance solutions designed to help institutions combat these evolving threats while adhering to anti-money laundering (AML) regulations.

In summary, as the digital landscape continues to evolve, so too must our defenses and methodologies for combating cyber laundering and cyberterrorism—ensuring that society can enjoy the benefits of digital innovation without falling prey to its darker applications.

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Top 10 Cyber Security Threats in 2024

As technology continues to evolve, so too does the potential for cybercrime. Every year, the number of cyberattacks are growing significantly. The costs of cyberattacks are growing every year, on average, it’s expected to grow to $24 trillion by the year 2027. Businesses need to understand and prepare for cybersecurity threats is more critical than ever.

Is your business ready for the cyber risks that lie ahead?

In this guide, we’ll talk about the top 10 cybersecurity threats of 2024 and how to protect your business from them.

Top 10 Cybersecurity Threats in 2024

Cybercrime is one of the fastest-growing risks for businesses in 2024. Cybercriminals tend to target businesses across all industries and of all sizes. The larger and more successful your business, the greater the risk of a cyber threat.

1. Social Engineering

Social engineering remains one of the most dangerous hacking techniques because it exploits human error rather than technical vulnerabilities. It’s easier to trick a person than to breach a security system, which is why 74% of all data breaches involve some form of human interaction. 

Tactics like phishing, spoofing, whaling, and baiting have become more sophisticated, with advancements in deepfakes and generative AI making these attacks harder to detect.

Common Social Engineering Attacks:

  • Phishing: Fraudulent messages designed to trick individuals into revealing sensitive information.
  • Spoofing: Deceptive emails or websites that appear legitimate.
  • Whaling: Targeted phishing aimed at high-ranking executives.
  • Baiting: Enticing victims with fake offers to install malware or reveal personal information.

2. Third-Party Exposure

Hackers often target third-party networks that have access to larger, more secure systems. This type of attack is increasingly common, with 29% of all data breaches in 2023 linked to third-party vulnerabilities. A notable example is the 2024 AT&T breach, which exposed sensitive data of over 70 million customers.

3. Configuration Mistakes

Even professional security systems can contain configuration errors, leaving vulnerabilities that hackers can exploit. Misconfigurations, such as using weak passwords or failing to update software, are common issues that can lead to major data breaches.

Common Configuration Mistakes:

  • Default Device Settings: Not changing factory settings on network devices.
  • Network Segmentation: Failing to separate sensitive information on different networks.
  • Software Updates: Not regularly updating and patching software.

4. Artificial Intelligence Cyber Threats

AI has revolutionized cybersecurity, both for defenders and attackers. Cybercriminals are using AI to automate attacks, making them more frequent and sophisticated. In response, businesses are adopting AI-driven security systems to stay ahead of these threats.

5. DNS Tunneling

DNS tunneling is a technique that allows attackers to secretly transmit data by hiding it within regular DNS traffic. This method is effective and relatively easy to execute, making it a common attack vector.

6. Insider Threats

Insider threats, whether intentional or accidental, can cause significant damage. These threats are difficult to detect because insiders already have access to sensitive systems. Whether it’s an employee unintentionally falling for a phishing scam or deliberately leaking data, insider threats pose a serious risk.

7. State-Sponsored Attacks

State-sponsored attacks are on the rise, often targeting critical infrastructure, military organizations, or government bodies. These attacks are highly sophisticated and can have devastating consequences, as seen in recent conflicts involving nation-states.

8. Ransomware

Ransomware is one of the most financially devastating cyber threats. The average ransom has skyrocketed to $2 million in 2024, a 500% increase from 2023. Ransomware not only disrupts operations but also incurs significant recovery costs.

9. Trojan Horses

Trojan Horses are malicious software disguised as legitimate code. Once installed, they can steal data, control devices, or install additional malware. Despite being an old technique, Trojan attacks remain a common and serious threat.

10. Drive-By Downloads

Drive-by attacks occur when visiting a compromised webpage results in automatic malware downloads. These attacks are often hidden in fake advertisements or pop-ups, making them difficult to avoid without proper security measures.

Staying Ahead of Cyber Threats

Navigating the ever-evolving landscape of cybersecurity can be overwhelming. While no system can guarantee complete protection, combining strong cybersecurity measures with adequate insurance can help mitigate the impact of a successful attack. By staying informed and proactive, you can protect your organization from the growing threats in 2024 and beyond.

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What is Sanctions Screening – Its Importance for Financial Institutions?

Sanctions screening is a crucial part of the eKYC process. eKYC is when a business onboard a customer/business digitally. This process is necessary for financial institutions and other businesses looking to onboard customers globally.

Using eKYC, businesses can minimize risks, prevent fraud, and meet compliance. In this blog, we’ll talk about Sanctions screening and its importance for financial institutions.

What Are Sanctions?

Sanctions are restrictions set up by the government and international bodies to achieve policy and security objectives. These measures can target individuals and countries and include travel bans, asset freezes, arms embargoes, or economic restrictions. Sanctions are made by governments to influence behaviors, deter illegal activities, and more.

Common types of sanctions include:

  • Economic sanctions
  • Diplomatic sanctions
  • Military sanctions
  • Sporting sanctions
  • Environmental sanctions

Why is it important?

Sanctions are important for legal and regulatory reasons, to avoid fines, and to sustain reputations. One major reason governments and other entities impose sanctions is to maintain global security.

Sanctions prevent the flow of resources to entities such as terrorists, human traffickers, or groups developing weapons of mass destruction. In some situations, sanctions are an absolute must.

Important in Financial Institutions

Sanctions screening is an essential part of financial institutions while onboarding. Financial institutions are always the first choice for fraudsters for money laundering. Including the sanctions screening in the onboarding process can allow financial institutions to prevent illegal activities, protect their assets, and also make sure that customers don’t engage with sanctioned individuals.

Anti-money laundering (AML) regulations are designed to prevent fraudsters from using the bank’s networks to clean the money obtained by illegal methods.

Consider a bank that doesn’t have a sanctions policy in place, most likely the number of frauds will go up. For customers, they can be taken advantage of without even knowing about it.

How Does Sanction Screening Work?

Sanction screening involves a number of steps:

  • Data Collection – Gathering customer information from every available source
  • Screening – Comparing customer data against sanction lists, watch lists, and PEP lists.
  • Risk Assessment – Evaluating the risk level associated with each customer or transaction.
  • Monitoring – Regularly monitoring customer transactions and behaviors for any sudden changes or suspicious behaviors.
  • Reporting – Reporting any matches or suspicious activities to relevant authorities.

Key Sanctioning Bodies

Several key organizations are responsible for issuing and enforcing sanctions. These include:

  1. United Nations (UN)

The UN imposes sanctions to maintain or restore international peace and security. These sanctions are typically adopted by the Security Council and can include asset freezes, travel bans, and arms embargoes.

  1. European Union External Action Service (EU EEAS)

The EU EEAS manages the EU’s foreign policy and security. It implements sanctions to promote international peace and security, uphold human rights, and combat terrorism.

  1. Office of Foreign Assets Control (OFAC)

OFAC, part of the U.S. Department of the Treasury, administers and enforces economic and trade sanctions. These sanctions are based on U.S. foreign policy and national security goals.

  1. His Majesty’s Treasury (HMT)

HMT oversees the UK’s financial and economic policy. It implements sanctions to meet the UK’s foreign policy and national security objectives.

When Should Financial Institutions Conduct Sanctions Screening?

Financial institutions should conduct screenings at multiple touchpoints during a customer lifecycle:

  • Onboarding – During the initial onboarding process make sure that the customer is not a sanctioned entity.
  • Continuous monitoring – Continuously monitor the customer throughout their lifecycle and look out for any changes in behavior, habits, and any changes in their status.
  • Transaction screening – For specific transactions, especially cross-border transactions, to ensure compliance with sanctions. 

Common Challenges in Sanctions Screening

Sanctions screening is not a flawless solution for you or your company. Various factors can affect its reliability:

  • Data Quality: Inaccurate or incomplete data can result in false positives or negatives.
  • Complex Regulations: Navigating the constantly evolving regulatory landscape is challenging.
  • Resource Intensive: Effective sanctions screening demands significant resources, including advanced technology and skilled personnel.
  • False Positives: A high rate of false positives can lead to operational inefficiencies and increased costs.

For instance, a large bank might encounter hundreds of false positives daily due to common names or incomplete data. Each potential match needs to be investigated by compliance staff, which is both time-consuming and expensive.

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What is shared intelligence? How can it improve consumer trust?

Fraud prevention isn’t just about ticking off the regulatory boxes, ID fraud prevention is the most important factor for businesses today. According to a report, over 70% businesses consider identity and fraud prevention as a part of their unified business strategy. 

The combined cost of ID and fraud due diligence is lower than the average cost of fraud. This means tackling fraud before it happens can not only save money but also improve customer’s trust in a business.

Importance of Building Trust in the Age of Global Commerce

It is crucial for businesses to build trust in this age of digital commerce and remote customer relationships.

The best way businesses can fight fraud is by sharing consumer intelligence. Shared intelligence is a powerful tool that creates a safer environment and improves the online experience for both businesses and consumers. 

Identity Data Networks 

Shared data networks are just the tool that businesses globally need to shine a light on fraud that goes unnoticed. Data networks have the potential to act as a digital referral system, which can highlight the reputation of digital identities and identity attributes.

Shared Consumer Intelligence 

Shared consumer intelligence combines millions of consumer identity data that’s collected by businesses globally. These identity attributes are derived from applications and transcriptions taking place across the network.

Shared consumer intelligence includes data broken down into multiple categories:

  • Person – forename, surname, and date of birth
  • Address – house number/apt number, street name, town, postcode, and country
  • Device – mobile or telephone number, email, and IP address
  • Document – national ID documents, passport, or driving license number
  • Bank – account number & other account information

The Role of Shared Intelligence in Building Trust

1. Enhanced Transparency and Accountability

Shared intelligence allows businesses to be more transparent with their customers. By openly sharing information about product origins, manufacturing processes, and supply chain practices, companies can demonstrate their commitment to ethical practices. For instance, a company that provides detailed information about the sustainability of its products can build trust with environmentally conscious consumers.

Furthermore, when businesses share their data and insights with third-party auditors or certification bodies, they add an extra layer of accountability. This external validation can reassure consumers that the company’s claims are genuine and not just marketing rhetoric.

2. Improved Product and Service Quality

When businesses collaborate and share intelligence, they can identify and address issues more effectively. For example, companies in the same industry can share information about common defects or customer complaints. This collective knowledge can lead to faster problem-solving and continuous improvement in product and service quality.

Additionally, shared intelligence enables businesses to stay ahead of emerging trends and customer preferences. By analyzing data from various sources, companies can better understand what their customers want and adapt their offerings accordingly. This proactive approach not only enhances customer satisfaction but also builds trust, as consumers feel that their needs and preferences are being prioritized.

3. Enhanced Security and Privacy Measures

In an era where data breaches and cyber threats are prevalent, consumer trust hinges significantly on how well a company protects its customers’ data. Shared intelligence plays a crucial role in enhancing security measures. By collaborating with other organizations, industry groups, and cybersecurity experts, businesses can stay informed about the latest threats and best practices.

For instance, shared intelligence can help companies identify and mitigate new types of cyber-attacks quickly. This collaborative approach to cybersecurity not only protects consumers but also demonstrates a company’s commitment to safeguarding their personal information, thereby fostering trust.

4. Strengthened Customer Relationships

Shared intelligence can also lead to more personalized and meaningful customer interactions. By leveraging data from various touchpoints, businesses can gain a comprehensive understanding of their customers’ preferences, behaviors, and pain points. This knowledge enables companies to tailor their communication, marketing strategies, and customer service efforts to meet individual needs more effectively.

When customers feel understood and valued, their trust in the brand deepens. They are more likely to remain loyal and advocate for the brand, further enhancing the company’s reputation and credibility.

5. Building Collaborative Ecosystems

Shared intelligence fosters collaboration not only within a company but also across entire ecosystems. When businesses, suppliers, and other stakeholders share insights and data, they can create more resilient and efficient supply chains. For instance, real-time data sharing can help companies anticipate and address disruptions, ensuring that products are delivered on time and meet quality standards.

Such collaborative ecosystems can also drive innovation. By pooling resources and expertise, businesses can develop new solutions and technologies that benefit consumers. This collective effort towards innovation demonstrates a company’s commitment to continuous improvement and customer satisfaction, reinforcing consumer trust.

Conclusion

In conclusion, shared intelligence is a powerful tool for building and maintaining consumer trust. By enhancing transparency, improving product quality, strengthening security measures, personalizing customer interactions, and fostering collaborative ecosystems, businesses can demonstrate their commitment to their customers’ needs and values. 

In an age where trust is a valuable commodity, leveraging shared intelligence can set companies apart and build lasting, loyal relationships with their consumers.

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Embedded Finance is Changing Banking for Firms and Customers

Embedded finance is streamlining banking and digital payments for consumers who need secure digital banking services. At the same time, it is facilitating growth and innovation for new brands and launching new products and services with ease. Almost a decade ago, challenger banks and neobanks gave birth to the FinTech revolution. As technology evolved, the role of FinTechs became more prominent in the industry.

Traditional banks took notice of the potential of FinTechs and how they can help in providing a seamless customer experience during onboarding, digital banking services, and payments. After the COVID-19 pandemic, the digital banking revolution was pushed forward. Today, there are apps for almost every financial service customers can think of including insurance, investments, mortgages, pensions, and digital assets. The next step in building seamless digital banking services is Embedded finance.

So how can embedded finance help non-finance brands to offer financial services to customers and how can it help in making banking services seamless for consumers?

What Is Embedded Finance?

The simplest way to explain embedded finance is in-app payments whether a customer is using a taxi app “Lyft” or buying takeaway through a food application. Embedded finance involves integrating a financial service into a non-financial application. For users, it provides quick and seamless payments and an incredible customer experience. 

There’s no limit to the use cases of embedded finance and the primary function of embedded finance is providing seamless customer payments. But the use case of embedded finance is starting to go beyond just payments and more and more non-financial industries are entering the financial ecosystem to provide better digital banking services to the customers. By properly implementing embedded finance, all banking tasks can be achieved virtually, such as investments, borrowing and lending, insurance, credit card applications and so much more. 

Embedded Finance, FinTechs, and Non-Finance Companies

With the constant developments in the banking sector, it is possible that the current landscape of the financial industry will be completely different in the next 10 years. Unlike the digital transformation of the banking industry, embedded finance has had a slow start/ Over the last couple of years, the use of open banking APIs for customer onboarding, KYC verification, payments, and fraud prevention has become standard.

Open Banking APIs are essential for embedded finance to survive and grow as open banking APIs allow software systems of different companies to seamlessly communicate with one another. Open banking has also gained momentum all over the world as it opens the door to open finance. 

As embedded finance services rely on APIs and BaaS (Banking-as-a-Service) to integrate financial services into non-financial services, any brand or company or FinTech can now offer a plethora of financial services without actually having to convert into a bank. All this transformation in the industry offers customers more choices and a seamless digital baking experience. 

Businesses operating outside of the financial industry can use open banking APIs and embedded finance to deliver financial services and reach out to the unbanked and underbanked population. Tesla’s Insurance package is the prime example of non-finance businesses venturing into the financial industry. Embedded finance is a great opportunity for brands as they can build new products and services and reach out to a whole new segment of customers to increase their profits.

Benefits of Embedded Finance: Customers and Businesses

The benefits of embedded finance go beyond just opening up new revenue streams for businesses. Even a few years ago, the development and launch of a new financial product required significant investment in terms of both money and manpower. Businesses had to overcome several challenges just to put out a new service in the market. That has changed because of embedded finance, as FinTechs now handle the development, integration, and compliance factors, and brands can rent or buy the financial product and provide their customers with a new segment of financial services.

As for the customers, the benefit is in terms of convenience, security, and seamless payments from anywhere, anytime just by using smartphone apps. The reason why customers across the globe have come to love embedded finance is that they can conduct every activity with a familiar UI. This leads to elevated levels of positive customer experience, as customers don’t have to be redirected to some complex and difficult-to-use webpage to make payments. 

This doesn’t mean that traditional banks will cease to exist altogether, while open banking APIs and embedded finance are being utilized on a global scale, millions of customers still only trust banks to handle their money.

How Embedded Finance and FinTechs Enhance the Banking Industry?

1. FinTech is a Growing Ecosystem

There are tons of technological ecosystems that are turning heads, such as InsureTech, PropertyTech, InvestTech, but FinTech is a culmination of all these ecosystems. Whatever the new technology, embedded finance will still provide the foundation for a new ecosystem. Account aggregation and online customer/ID verification can’t be possible without FinTech as a foundation.

2. Embedded Finance Eliminates Complexity

All the embedded financial products are ultimately all about removing complexity from financial activities. Companies use embedded financial components to remove complexity from the process and increase user experience. 

Instead of visiting another webpage, a consumer gets access to payments in the current ecosystem. This increases customer experience, strengthens security, and reduces the complexity of the process.

3. Embedded Finance Will Offer Better Financial Control

In this newly growing financial landscape, customers need better control over their finances. With customers becoming more comfortable with technology, their outlook on their personal finances is also changing. It’s critical that embedded finance applications leverage as much customer data as possible. This provides customers with more control over their financial data.

4. Use Existing Resources

Most businesses shy away from embedded finance because of the expenses. But, the truth is that organizations don’t need to worry about expenses and resources. The resources needed to acquire new customers and build high-end infrastructure. By including a financial angle to create new financially embedded products, you can easily modify the current system.

5. Improved Customer Experience

Embedded finance helps companies create a seamless journey for their customers. Offering more services to the customers will eliminate their need to deal with third-party vendors for completing their transactions. This leads to higher profits, and the direct connection between customers and the company will improve the customer experience.

Key Components of Embedded Finance

  1. APIs (Application Programming Interfaces): At the core of embedded finance are APIs, serving as the technological backbone that facilitates seamless communication between different systems. These APIs enable the exchange of data and functionalities, allowing non-financial platforms to effortlessly embed financial services.
  2. Digital Payments: Embedded finance has revolutionized payment methods, from one-click transactions to digital wallets. Users can complete transactions without leaving the platform they are using, streamlining the payment process.
  3. Lending and Credit: The integration of lending services into e-commerce platforms has become commonplace. Embedded lending allows users to access credit seamlessly during the checkout process, enhancing the overall user experience.
  4. Insurance Integration: Platforms can now offer embedded insurance solutions, providing users with relevant coverage based on their activities or purchases. This integration simplifies the process of obtaining insurance within the platform.

Common Challenges in Embedded Finance

  1. Regulatory Compliance: The financial industry is subject to rigorous regulations, and ensuring compliance with diverse laws across jurisdictions poses a significant challenge. Navigating this complex regulatory landscape demands a nuanced understanding of financial laws and diligent adherence to compliance requirements.
  2. Security Concerns: With the integration of financial data into non-financial platforms, the risk of data breaches and cyber-attacks intensifies. Maintaining robust security measures to safeguard sensitive financial information is paramount to building user trust and ensuring data integrity.
  3. User Trust: Establishing and preserving user trust is critical in the financial sector. Embedding financial services within non-financial applications necessitates transparent communication about data usage, security protocols, and the overall user experience to foster confidence among users.
  4. Interoperability: Achieving seamless interaction between embedded finance solutions and various systems and platforms requires addressing the challenge of interoperability. Standardized protocols and effective collaboration among different stakeholders are essential to overcome this technical hurdle.
  5. Technology Infrastructure: Implementing embedded finance necessitates a robust and scalable technology infrastructure. Ensuring that the systems can handle the integration of financial services without compromising performance is a crucial consideration.

Future of the Banking Industry

The constant technological development in the financial industry may act as a threat to traditional banks. This is because tech-savvy customers will choose digital services over physical ones. The truth is that neither banks nor FinTechs can survive without the other one. FinTechs don’t have the expertise or resources like bank account verification software or online KYC verification software to keep up with KYC and AML compliance changes and handle millions of customers. Traditional banks on the other hand don’t have the expertise in developing strong and robust digital platforms for their customers.

In this situation, the ideal step to enhance the financial industry for both businesses and customers is to build strong Bank-FinTech partnerships that can take advantage of the best features. 

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What is Third Party Risk Management?

Third-party risk management (TPRM) is a type of risk management program that focuses on identifying and reducing risks that come with the use of third parties. Third parties that open businesses to risk are vendors, suppliers, partners, contractors, or service providers.

The risk management program aims to give organizations an understanding of the third parties they use. TPR programs are dependent on the type of organizations, the industry they operate in, and several other factors. But, several TPRM practices are universal and applicable to every business.

Third-party risk management often encompasses all the practices that help businesses prevent third-party risks and fraud.

In this guide, we’ll go over what is third-party risk management and common TPRM practices businesses can use.

Importance of Third-Party Risk Management

Third-party risk management has been around for a long time. However, l with recent growth in third-party fraud cases has increased the need for third-party risk management.

Disruptive events have impacted thousands of businesses globally. Moreover, several data breaches have been directly related to poor third-party risk management.

Some of the most common ways businesses can be impacted are:

  • Internal outages and slowing down operational capabilities.
  • External outages affect areas such as the supply chain.
  • Vendor risks that make your business vulnerable to supply chain fraud. 
  • Operational shifts that affect data gathering, storage, and security.

Almost all organizations today use some kind of third-party provider to keep their operations running smoothly. So, when there’s an issue with your third-party suppliers, your business suffers greatly.

Let’s say you’re using a cloud platform such as Amazon Web Services (AWS) to host your website. If AWS goes down for a couple of hours, your operations also go down.

Outsourcing is crucial for the success of modern businesses, it not only saves businesses money, but it also helps in getting help from experts.

Unfortunately, there’s a downside. If proper third-party risk management programs aren’t in place, the use of third parties can leave your business open to several risks.

Best Third-Party Risk Management Practices

Businesses can use several third-party practices that help you build a better program, regardless of where your business currently stands. Here are the 3 best practices that apply to almost every company.

1. Prioritize Your Inventory

Not all vendors are equally important for your business, this is why you need to determine which third-party vendors matter the most. To improve the efficiency of your third-party risk management program, you need to segment your vendors. 

You can segment the vendors into 3 categories:

  • Low risk, low criticality – Tier 3
  • Medium risk, medium criticality – Tier 2
  • High risk, high criticality – Tier 1

Generally, organizations will focus their time and resources on tier 1 vendors first, as they require more stringent due diligence and evidence collection. Tier 1 vendors are subject to the most in-depth assessments, which often include on-site assessments.

A lot of times, during the initial evaluation, these tiers are calculated based on the inherent risk of a third party. Inherent risk scores are generated based on industry benchmarks. These include:

  • Sharing proprietary or confidential business information with the vendor
  • Sharing personal data with the vendor
  • Serving critical business functions
  • Sharing sensitive personal data with the vendor
  • Sharing personal data across borders

The impact of a vendor can also be a determining factor. Let’s say a third-party vendor is unable to deliver their service, how much impact will that have on your business? When there is significant disruption in your operations, the vendor will also be higher. Businesses can figure out the impact by considering these factors:

  • The impact of unauthorized disclosure of information
  • Impact of unauthorized modification or destruction of information
  • Impact of disruption of access to the vendor/information

Another way to determine the impact of a vendor’s inability to deliver their work is by grouping based on contract value. Vendors that have huge budgets may automatically be segmented as tier-1.

2. Leverage Automation Whenever Possible

Efficiencies only happen when operations are consistent and repeatable. There are several areas in the third-party risk management process where businesses need automation. Some areas where businesses can use automation include:

  • Intaking and onboarding new vendors

Businesses can add vendors to their inventory by using an intake form or via integration with contract management or other systems.

Solutions like DIRO online document verification can help businesses in verifying vendor identity during onboarding. This helps in reducing vendor risk significantly.

  • Calculating inherent risk and tiering vendors

During the vendor onboarding process, businesses need to collect vendor information that helps in calculating the level of risk the vendor poses for the business.

Based on the level of risk, businesses can set up different levels of due diligence for vendors. This helps prevent fraud that comes with poor third-party risk management.

  • Assigning risk owners and mitigation tasks

Whenever a vendor is flagged, route the risk to the correct individual and include a checklist of mitigation action items. 

  • Triggering vendor performance reviews

You need to set up automation tiggers that conduct reviews of vendors during specific times of the year. The reviews could be each quarter, every 6 months, or once a month.

  • Triggering vendor reassessment

Businesses should send an assessment based on contract expiration dates. Businesses should also save last year’s assessment answers so vendors don’t have to start completely from scratch.

  • Scheduling and running reports

Businesses should set up automated reports that run every day, every week, or every month. These reports must be shared with the right person.

Every third-party risk management program is unique, so as a business, you need to start by looking internally at the small processes that can be automated.

3. Think beyond cybersecurity risks

Whenever businesses think of third-party risk management or vendor risk management programs, they think of cybersecurity risks. But, third-party vendor management is far more than cybersecurity risks.

While it is important to focus on small things and consider cybersecurity risks, there are other types of risks that businesses should prioritize, such as:

  • Reputational risks 
  • Geographical risks 
  • Geopolitical risks 
  • Strategic risks 
  • Financial risks 
  • Operational risks 
  • Privacy risks 
  • Compliance risks 
  • Ethical risks 
  • Business continuity risks 
  • Performance risks 
  • 4th party risks 
  • Credit risks 
  • Environmental risks 

How Can DIRO Help?

DIRO online document verification solution can help businesses strengthen their third-party risk management practices. Third-party fraud risks start from the moment a business onboards a vendor without proper verification.

DIRO online document verification solution helps businesses verify crucial vendor information that can help in fraud prevention in the long run. DIRO can verify these documents:

Learn more about how DIRO can enhance your third-party risk management program by requesting a demo today.

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How DIRO is Changing the Online Document Verification Landscape?

The rise of digital banking services, ACH payment, and third-party payment providers has changed the face of banking. The needs of customers are an ever-changing concept and to facilitate those needs, the financial industry is trying to offer faster and more secure transactions. To enjoy the benefits that come along with digital banking transactions, banks need to provide better security.

Customers from all over the globe can sign up for digital banking services with strong customer Identity verification solutions. Online documents can help banks and other financial institutions verify customer identities seamlessly and offer security to digital banking procedures. The use of documents to verify customer identities before opening a new account is a very old process. Now that banking has shifted online, so has the document verification process. Verification of online documents is really important for secure digital banking operations. By verifying driver’s licenses, proof of address, utility bills, and proof of income, financial institutions can verify customer identities and reduce red flags.

The FinTech Industry is full of solutions that can offer online document verification. AI-driven document verification solutions aren’t 100% reliable. To bridge the gap between security and transparency, DIRO’s online document verification solution helps organizations achieve that. 

DIRO is an award-winning online document verification technology that captures information directly from the original web source to verify documents. The document it verifies holds a stronger proof of authenticity as opposed to sharing and verifying original copies in person or uploading copies online. Using DIRO’s technology can help you access all banks, utility companies, and government databases with automated user consent and a strong Multi-factor authentication impersonation check.

Some of the major features of DIRO’s online document solution are:

  • Can verify online documents globally.
  • 24/7 live coverage for online document verification.
  • Instant document verification at any time. 
  • 5000+ document types to verify from. 
  • Verified documents can be tamper-proof as documents are provided a Digital fingerprint and uploaded on the blockchain. 

Different Types of Document Verification Methods

The concept of verifying documents for opening a new bank account or signing up for new services is relatively new. There are two types of methods for verifying documents. In the past, banks used to rely on human resources for verifying documents which were slow, tedious, and error-prone.

Here’s a breakdown of types of document verification methods.

1. Manual Document Verification

Verifying customer documents like government-issued identity documents, address proof, income statements, insurance documents, etc. for account opening and signing up for other banking services. Manual document verification relies on human resources to check for details in the documents. Humans can be easily tricked with fake documents created using image doctoring software. 

A business can be easily tricked and harmed by fraudsters using sophisticated technological methods. For humans, there is no way to distinguish between original documents and doctored documents. Manual document verification methods are slow, insecure, and inefficient. 

  • Manual document verification methods are easy to trick.
  • Take up a lot of time and resources for limited results.
  • A slow process that leads to slow customer onboarding.
  • Hard to fulfill KYB & KYC compliance with manual methods.

2. Automatic Document Verification

To bridge all the gaps in manual document verification, automatic or online document verification solutions came into existence. With the right kind of technology banks, financial institutions, and FinTechs can easily verify documents for new account opening and signing up for new services. 

DIRO’s online document verification technology makes it easy for you to verify online documents like driver’s licenses, proof of address, utility bills, student documents, etc. It provides secure, reliable, instant document verification with 100% proof of authentication. The proof of authentication is a court-admissible document with forensic data.

  • Instant document verification for improved customer experience and customer onboarding.
  • Unlike manual verification, you can verify any type of online document globally.
  • 100% proof of authentication. 
  • Captures information directly from the original web source to distinguish between original and fake documents.
  • Provides a digital fingerprint for authentic documents and uploads documents on the blockchain.

What Makes DIRO Different From Competitors?

There are a variety of document verification solutions available in the market, but most of them rely on machine learning and artificial intelligence (AI). Online document verification solutions that are driven by AI aren’t as reliable as claimed. AI-driven document verification solutions can be tricked by fraudsters with a constant feed of false data. AI-based online document verification solutions verify documents by verifying document data. Fraudsters can feed an array of false data that can help to trick solutions into thinking that it’s the real document.

DIRO technology, on the other hand, verifies documents by capturing information directly from the web source. Here’s a comparison of DIRO’s online document verification solution and other verification solutions.

DIROBrand ABrand BBrand C
Instant document verification30-50 seconds for document verificationUp to 1 minute for document verificationUp to 1 minute for document verification 
5000+ types of documents for verification3000+ types of documents for verification3000+ types of documents for verification4500 types of documents for verification
100% proof of authentication No proof of authenticationNo proof of authenticationNo proof of authentication
Verified court-admissible documentsNo court admissible documentsNo court admissible documentsNo court admissible documents
Doesn’t require photos or screenshots for verifying documents. Requires images for document verification.Requires images for document verification.Requires images for document verification.

Conclusion: How DIRO’s Solution is Unique from Others?

Banks, financial institutions, and governments can’t trust photos or screenshots of customer documents as they can be easily doctored using technology. This is the reason why organizations need online document verification solutions that can verify documents instantly, improve the customer onboarding process, and reduce fraud.

DIRO allows customers to provide an original document from any online source like banks, government databases, or private databases for ID verification. DIRO’s innovative solution can be used across banking and other industries.

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Proactive Customer Communication

In the digital age, banks face the constant challenge of effectively communicating with their customers to prevent and manage fraud incidents. The results of a recent global consumer fraud survey highlight the need for proactive, personalized customer communication to detect and prevent fraud, as well as to efficiently resolve fraud cases.

However, meeting customer expectations in this area is not a simple task, as dissatisfaction with a bank’s response to fraud management can lead to customer churn.

Power of Proactive Communication

To demonstrate care for their customers’ financial well-being, banks must find ways to be proactive in their communication. One of the most effective ways to show this care is by actively working to detect, prevent, and notify customers about potential fraud incidents. 

While fraud detection measures strive to minimize false positives, there will always be cases that appear to be fraudulent but are not.

Consider a scenario where a customer makes an unusual purchase, such as expensive diamond earrings. Since this transaction deviates from the customer’s typical spending pattern and involves an unfamiliar merchant, it may trigger a fraud alert.

In such cases, proactive customer communication is essential. A quick, automated SMS message from the bank can allow the customer to verify the purchase and avoid any potential embarrassment at the checkout. 

When executed correctly, this communication reinforces a sense of protection for the customer. However, if the communication is incorrect or mishandled, it can result in a negative experience that requires significant resources to rectify and may damage the customer’s relationship with the bank.

Consumer Preferences for Communication Channels

Globally, customers prefer digital channels for communication, such as text messaging, emails, bank apps, and third-party messaging services, over traditional analog methods like phone calls. 

According to a survey, nearly 80% of customers worldwide prefer digital channels for payment verification. Text messaging is the most favored method, with 43% of customers preferring it, followed by 17% who prefer email.

However, it’s important to note that payment verification preferences vary across countries. In the United States, 64% of customers prefer text messages for verification, while only 2% prefer third-party messaging apps. 

In Brazil, the preferences are more diverse, with 28% preferring text messages, 30% favoring bank apps, and 12% opting for third-party messaging apps. 

Thailand stands out from the global group, as 41% of respondents in the country prefer phone calls for payment verification.

In regions like the European Union, customer verification methods are driven by regulatory requirements. Strong customer authentication dictates that many payments must be authenticated using two out of three methods:

  • Inherence (biometrics)
  • Possession (e.g., mobile phone)
  • Knowledge (e.g., password)

This approach is being adopted globally with the introduction of 3-D Secure 2 for card payments.

With such diversity in communication preferences, banks face the challenge of effectively reaching out to customers through their preferred channels.

Addressing Gaps in Contact Information

Accurate customer contact information is vital for proactive customer communication. However, many banks struggle with outdated or inaccurate contact details. 

According to the survey, 22% of credit card customers worldwide report that their card provider does not have their correct mobile number. Similarly, 18% of debit card customers report inaccurate mobile numbers, and 28% report inaccurate home addresses.

The impact of inaccurate contact information goes beyond basic communication issues. Mobile numbers are increasingly linked to user security and anti-fraud controls.

In the UK, almost 20% of customers report that their bank does not have their correct mobile phone number. This becomes problematic if the bank relies on sending one-time passcodes via SMS for payment authentication. 

In many cases, the requirements of PSD2 Strong Customer Authentication prevent issuers from bypassing these checks. As a result, banks must find alternative methods to authenticate payments for customers with mismatched contact details, or the payment will fail.

Considering that there are over 50 million adults with a bank account in the UK, and 70% of them also have a credit card, it is estimated that more than 10 million individuals may have discrepancies between their actual mobile numbers and the numbers their card providers have on record for communication, authentication, and identity verification purposes.

The Cost of Negative Experiences

When banks struggle to contact and engage customers effectively, they face significant repercussions. The survey reveals that 83% of customers worldwide will either complain to their bank (56%) or switch banks (27%) if they are unsatisfied with the bank’s response to a fraud event.

According to the Bank Administration Institute (BAI), banks can spend up to $10 per contact in their call centers. Any increase in contact center volume leads to escalating costs for banks, not to mention the risk of losing customers to competitors. 

Proactive and personalized communications are crucial for maintaining stability and fostering growth.

Meeting Customer Expectations

To summarize, consumers prefer digital channels for communication, and banks must bridge the gap in contact information to provide proactive customer communication. Failure to do so can result in increased contact center costs, a decline in brand equity, and customer attrition.

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Knowledge-Based Authentication (KBA) Guide

Knowledge-based authentication or KBA is an authentication method that relies on a series of questions to verify a person’s identity. KBA is one of the oldest authentication methods to prevent fraud. Without answering a series of questions, a user can not access the account.

KBA at its core indicates that it’s a type of authentication based on the knowledge that only a user has. The authentication method is based on the idea that only the true owner of an account would have the ideal information and will be able to access the account.

Knowledge-based authentication has two different categories:

  • Static
  • Dynamic

The distinction is based on the type of questions. The questions can range from basic personal information to complex questions. 

While KBA sounds like the most secure authentication method, it is slowly becoming a thing of the past. Today, chances are you’ll see KBA on 1 out of every 1,000 websites.

The password reset and account recovery process has completely got rid of KBA as an authentication method. Moreover, KBA has become more and more susceptible to vulnerabilities in today’s time. 

In terms of multi-factor authentication, KBA is part of the “knowledge” type of authentication. Which is “something a user knows”, alongside passwords.

Let’s break down the different types of KBAs below and the challenges associated with them:

Static KBA

Static knowledge-based authentication is one of the most used security methods and is also called “shared secrets”, or “shared secret questions”.

Most common examples include:

  • What is your parent’s name?
  • What is the name of your pet?
  • Your favorite color?
  • What is the name of the street of your childhood home?

The user chooses the static KBA questions whenever they sign up for an account. So, whenever a user wants to sign up, they have to answer the questions that they chose.

The biggest problem with KBA is that it is open to vulnerabilities. With the rise of social media, fraudsters can find answers to a lot of questions.

The biggest example of this is an incident in 2008 when the Alaska governor’s email account was hacked. The password to her Yahoo! Account was changed by fraudsters. They accessed her account with security questions such as her date of birth, zip code, and other information that is readily available on the web.

Dynamic KBA

Unlike Static KBA, dynamic KBA doesn’t require the users to define a security question when making a new account. 

This means that all the questions about the user are generated in real-time. The questions are based on the ID number and aren’t usually available in the individual’s wallet. 

This is the reason Dynamic KBA is sometimes also called “Out-of-wallet questions”.

The dynamic KBA questions are usually more specific and offer alternatives, such as:

  • Which of these addresses matches one of the houses where you lived in 2005?
  • Choose the last digits of your social security number.
  • Which one of these purchases matches the last purchase you made on your account?

The answers to these questions are based on the user’s activities. But, there’s a small chance that the information could also be available publicly. Especially with the growing number of data leakage. 

There is also a third classification which is known as advanced dynamic KBA. The primary difference is that the security questions are generated from proprietary data that are stored behind a firewall.

Alternative to Knowledge-Based Authentication

KBA identity verification has become less effective since the rise of social media. As we stated above, answers to a lot of questions can be answered by visiting a potential victim’s social media profiles.

Not just social media, data leaks, and advanced phishing attacks also make KBA more vulnerable. That is one of the reasons multi-factor authentication is so important in today’s time. Additional authentication methods have to be used to secure accounts.

Other account authentication methods have grown in a way that is making KBA obsolete.

Other Methods of Account Authentication

Today, businesses use a lot of other authentication methods apart from knowledge-based authentication.

Some of the most common authentication methods include:

  1. Physical Security Keys

One of the primary reasons to use security keys is that only the user has access to it. A physical key makes sure that the account isn’t vulnerable to data breaches/phishing attacks. 

If the user ends up losing or damaging their physical key, users can rely on secondary authentication methods to regain access to the physical key.

  1. Phone-as-a-Token

Information stored in a mobile phone can also be used to identify a user’s identity. There are a lot of Phone-as-a-Token security solutions that businesses can use. 

This method has grown exponentially over time with the rise of mobile devices. One of the reasons behind the popularity is that users don’t have to carry any additional security key or data.

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Know Everything about Data Risk Assessment

In today’s digital world, safeguarding sensitive data is crucial for businesses. One key aspect of data protection is conducting a thorough Data Risk Assessment (DRA). This comprehensive guide will walk you through the importance of DRA, its benefits, and a step-by-step process to conduct one efficiently.

Understanding Data Risk Assessment

Data Risk Assessment is a systematic process that entails reviewing, analyzing, and evaluating the locations where sensitive data is stored and managed. This data can include intellectual property, personally identifiable information (PII), and other critical business information.

The main objective of a DRA is to identify potential risks to sensitive data and implement appropriate measures to mitigate these risks.

Importance of Data Risk Assessment

Conducting a Data Risk Assessment is vital for several reasons:

  • Visibility: A DRA provides insight into all potential threat vectors that could lead to security or privacy violations, ensuring you know exactly what data you have and where it is stored.
  • Risk Management: Identifying and assessing the risks associated with managing PII and other sensitive data enables you to make informed decisions about data security investments and risk tolerance.
  • Compliance: A DRA helps you maintain and demonstrate compliance with legal, regulatory, and industry-standard requirements.
  • Vulnerability Analysis: By conducting a DRA, you can identify potential vulnerabilities that may increase the likelihood of data leakage or breaches.
  • Security Metrics: With a DRA, you can establish key performance indicators (KPIs) for your data security efforts, allowing you to track progress and make improvements.

Primary Steps in Data Risk Assessment

A comprehensive Data Risk Assessment typically follows a three-step process:

1. Map Data to Applications

The initial step in a DRA involves gaining full visibility into all data stored, collected, and transmitted by your organization. This process is known as creating a data footprint. Key elements to define during this step include:

Data Owners/Data Stewards

Identify individuals responsible for the collection, protection, and quality of data within a specific department or domain.

Data Types and Attributes

Identify and tag sensitive files with classifications to enhance controls.

  • Data Classification

Determine the risk level and potential impact on the organization if data is compromised.

For effective data classification, consider assigning risk levels such as high, medium, or low, and classification categories like:

  • Restricted

Data whose unauthorized disclosure, alteration, or destruction poses a high level of impact on the organization.

  • Private

Data that is only to be seen by a selected few eyes. Unauthorized disclosure of this data could lead to fraud, and significant damage to the organization and consumers. 

  • Public

Data whose unauthorized disclosure, alteration, or destruction poses a low level of impact on the organization.

Once you have covered all the responsible parties and the level of risk associated, you need to map the data to the apps that use it. This mapping should include:

  • Applications: A list of applications that query or use the data.
  • Data Environment: Geographic locations or regions where data is stored.
  • Data Flows: The path data takes between applications, databases, and processes.
  • Controls: Security measures used to protect the data in question.

2. Assess Risk

This stage involves reviewing, analyzing, and evaluating threats and vulnerabilities that could put data at risk. Risks to consider include:

  • Excess Access: Users who have more access than necessary to complete their job functions.
  • Outdated User Permissions: Users who retain access from previous roles within the organization and no longer require that level of access.
  • File Sharing: Permissions allowing access to data by anyone with a link.
  • Collaboration Tools: Sharing data through chat tools like Slack or Microsoft Teams.

Automated solutions can help streamline the risk assessment process by scanning data repositories and analyzing data storage, handling, and security processes, practices, and controls.

3. Remediate Vulnerabilities

After assessing potential risks, it is essential to mitigate these risks by addressing the identified vulnerabilities. Some remediation activities include:

  • Principle of Least Privilege: Ensure users have the least amount of access needed to complete their job functions using role-based access controls (RBAC) and attribute-based access controls (ABAC).
  • Multi-factor Authentication (MFA): Implement additional authentication controls around sensitive data, including step-up authentication when users move between applications and modules.
  • Data-centric Security Policy: Focus on securing sensitive data types with policies and controls that consider business context and data transmission across applications and storage locations.

Transitioning from a traditional security approach to a data-centric security approach can be challenging. 

However, with distributed workforces connecting to your data from the public internet, securing the transmission itself is crucial. This can be achieved using a virtual public network (VPN) or Secure Access Service Edge (SASE) to protect data in transit.

Conclusion

Performing a comprehensive Data Risk Assessment is crucial for any organization to safeguard sensitive data and maintain regulatory compliance.

The three-step process outlined in this guide will assist you in identifying potential risks, mapping data to applications, assessing vulnerabilities, and implementing effective remediation strategies.