Technology
HOW ARE SPEECH RECOGNITION AND AI FIGHTING FRAUD?
Published
2 years agoon
By
admin
Nigel Cannings is the founder of Intelligent Voice
Speech recognition and AI provide innovative methods for businesses to significantly develop and improve their fraud detection systems. With the technology and techniques used by fraudsters rapidly changing, AI can evolve and adapt to provide more comprehensive protection, assisted by the use of machine learning. The acceptance of AI as a crucial asset to fraud detection and prevention is already being recognised, with 31% of CIOs having already reported the implementation of AI systems in their business, and a furth 23% expressing intent to have the technology deployed within the next year. Crucial to the effective implementation of this technology, however, is having a basic understanding of how it functions and will assist business needs.
What are the roles of AI and machine learning in fraud detection and prevention?
AI can take a variety of forms, with the core systems required for anti-fraud measures being Conversational AI, Natural Language Processing (NLP), and Automatic Speech Recognition (ASR). Automated, voice-enabled applications rely on the use of Conversational AI to allow efficient communication between technology and humans. ASR is the model tasked with translating verbal data into different formats, facilitating the recording and processing of data. The crucial bridging of the gap between the rules of human language and machine learning is carried out by NLP systems, allowing technology to process the sentiment and intent that can be derived from human interaction.
Together, these AI systems are used to both develop and augment machine learning models. The machine learning process involves the application of data from previous interactions with the intent to enable algorithms and analysis to develop and evolve alongside rapidly changing fraudulent technology and techniques. Through the collaboration between machine learning, Conversational AI, NLP, and ASR, data that would have previously been considered difficult or impractical to apply to anti-fraud measures can be repurposed. Fraud detection procedures such as checking for consistency in the details of claimant stories, identifying connections between claimants and witnesses that may be problematic, or detecting more complex behavioural indicators can be carried out more effectively, enabling a more comprehensive anti-fraud system.
What are the features that AI can recognise, and how does this help prevent fraud more efficiently?
Modern AI systems have the capabilities to detect a range of both speech and behavioural patterns, providing a more comprehensive analysis of the mannerisms and language features displayed in customer-facing interactions. There are several features that have been traditionally associated with fraudulent intent, with the most notable being frequent pauses in speech, hedging, delaying responses, indirectly answering questions, and displaying heightened emotional responses. AI not only has the ability to detect these traditional features of fraud, but it will also use its recorded history of confirmed fraudulent calls to continue tracking trends in behaviour and speech by fraudsters. Customers who have been identified to be displaying suspicious behaviour can be more closely monitored, and if the potential for fraud is confirmed, customer records can be updated with the necessary information and warnings concerning their claim. Currently, it is possible to also use AI systems to record a biometric voiceprint of known fraudsters, allowing their detection even when they call back with a new claim and different details. Through these measures, it can be possible to detect fraudulent intent from the first phone call.
However, it is important to be aware that these systems and tactics are not static, and constantly evolve depending on the new techniques being adopted by fraudsters to avoid detection. The most recent development in fraudulent operations is the use of “deepfake” technology, which can be used to mimic audio and mask a human voice in real-time. This allows fraudsters to create entirely new identities to recommit fraud with the same company, without being detected by biometric voiceprint technology. Traditional anti-fraud measures without the input of AI and machine learning will struggle to adapt to these new technological challenges. AI-based systems provide the flexibility and adaptability to allow businesses to keep up with these evolved techniques quickly, often with minimal human involvement.
How can speech recognition AI impact wider business goals?
The reach of AI is not limited to efficient fraud detection – important business goals such as the improvement of customer services also benefit significantly from the implementation of AI-based systems. Functions such as sentiment and emotion analysis now allow businesses to detect and interpret the nature of customer experiences, identifying positive and negative language and speech indicators. This enables businesses to gain a better understanding of their customer interactions and where improvements or reviews may be required. This form of analysis can also provide more detailed information about whether customers are displaying a sense of urgency, frustration, contentment, or confidence in response to their experience. Details provided by this analysis allows businesses to create more specific targets and methods to increase customer satisfaction.
Implementing wider behavioural analysis through AI systems also provides new opportunities for businesses to provide improved safeguarding for vulnerable customers. Employees can be notified when customers are displaying worrying indicators of being uncertain, confused, or concerned as a result of their interaction, and respond accordingly. These more vulnerable customers are often unemployed, young, or older adults that may require a more in-depth explanation of how the business can serve their personal needs. Follow up contact, reassurance, or in more extreme cases, welfare checks can be provided to these customers. The introduction of more thorough AI-based analysis can feel more intrusive to some customers – however, this technology also enables the provision of better customer care. The shift towards more analytical, adaptive technology increases our capabilities to care for the most vulnerable in society.
Nigel Cannings is the founder of Intelligent Voice, a company leading the international development of proactive compliance and technology solutions for various forms of media. His experience in both technology and law provides a unique insight into the future of these technologies and the legalities surrounding them.
Finance
In 2024, payments will evolve to broaden accessibility
Published
2 days agoon
December 1, 2023By
admin
Attributed to Roy Aston, COO at Paysafe.
As we look to 2024 and beyond, businesses will need to adapt experiences to changing consumer needs and demands, working with payments providers to increase accessibility, offer broader choice, and more.
We break down some the forces driving evolution in payments over the coming years.
Payments need to be available to everyone, everywhere
Regardless of their location or situation, consumers do not want to wait when it comes to payments. The proliferation of smart devices has given users access to everything, all at once, and this is also expected when making transactions.
In 2024, banks and financial institutions will continue to push ahead with this journey to offer smooth, secure payments to everyone, everywhere, delivering services at the lowest possible barrier to entry. This also means ensuring consumers, even those that are unbanked or underbanked, have access to remittances and cross-border payments.
The first step in achieving this goal will be to improve reliability, security and availability, which may see traditional payment methods like debit and credit cards – still the most popular payment methods – become less dominant, while alternative payment methods (APM) like eCash and digital wallets will grow.
This is because, with the right payment provider, merchants can ensure these APMs are available anywhere in the world – eCash, for example, does not require a bank account to use. In addition, digital wallets and online cash can offer swift, secure transactions, helping users overcome security issues by not requiring them to enter their financial details.
Financial companies will embrace collaboration in 2024
While businesses can address consumer payment concerns using APMs, they must also look to bolster their own defences as the threat landscape changes. Increasingly advanced technology, like AI models, are now accessible to far more people, including threat actors.
To combat this escalating threat, it’ll be no surprise to see more financial companies collaborate in 2024 as they seek to improve cyber risk mitigation. This makes perfect sense – and would be a positive step for the industry – though it is easier said than done.
Businesses must share data legally, while aimed toward a positive purpose, rather than for pure profit. For example, if a financial organisation gains intelligence on a cyber group, they could share this with other companies to protect against bad money movement.
Ideally, collaboration could help improve anti-fraud, anti-money laundering, and cyber security measures, and more broadly reduce risk for businesses and consumers alike. But first, thinking around data governance may need to change.
Existing trends will evolve
While exciting new trends will emerge in 2024, we’ll also see the evolution of some that have yet to reach their full potential.
Embedded payments, for example, will continue to develop, with more businesses bringing together financial products with features like loyalty schemes to offer more added value to consumers.
Decentralised finance, too, should continue to build momentum in 2024. While decentralised finance, and specifically NFTs, have faced challenges this past year, it will be no surprise to see companies get to grips with changing regulatory requirements and continue to build in this area.
Open banking could also see a big 2024, with more APIs becoming available, and companies starting to develop new solutions to enhance customer experience and reduce friction in the payment ecosystem.
And while evolution rather than revolution is a necessity in technology, it’s always exciting to look ahead to the big trends that could shape the future – perhaps not in the year ahead, but beyond.
The future is quantum
Quantum computing is a trend that is as exciting as it is potentially frightening. Able to perform computations that are exponentially faster than ever before, quantum computing represents a new frontier and it will be thrilling to see how it is used in the years ahead.
Combined with AI, for example, quantum computing could optimise processes at a speed and scale never seen before – with serious benefits passed onto consumers.
In the nearer term, however, ensuring payments are available and accessible for everyone must remain the focus in 2024.
Technology
How to protect your business from the rise of sophisticated cyberattacks
Published
2 days agoon
December 1, 2023By
admin
Suhaib Zaheer SVP, Managed Hosting at Digital Ocean & GM, Cloudways
In an age where technology drives business operations, the threat of sophisticated cyberattacks looms over organisations of all sizes. From stealthy ransomware attacks to intricately orchestrated phishing schemes, the arsenal of online adversaries is expanding. Cyberattacks were listed as one of the biggest threats to the UK in the 2023 risk register. Added to this, 97 people per hour fall victim to cyberattacks. The threat of a cyberattack not only jeopardises businesses and their valued employees but also poses a significant risk to their customers. A breach of security has the power to decimate an organisation’s hard-earned reputation and impose severe financial distress.
Today, safeguarding your business against the rising tide of sophisticated cyber threats is no longer a choice. This article explores actionable ways to fortify your business’s defences, empowering you to navigate threats with resilience.
Navigating the cybersecurity landscape
Over the past few of years, the widespread adoption of remote work practices surged, consequently exposing businesses, particularly SMBs to elevated cybersecurity risks.

Suhaib Zaheer
Before remote work, businesses could dictate strict rules governing the access points for critical documents. Company computers were tethered to office desks, seamlessly connected to in-house servers. The primary concern for management teams was fortifying the office server and upholding computer security.
Fast forward to today, and the workforce is no longer confined to office walls but spans cities, and even countries. This shift brings a twofold challenge—exposing vulnerabilities in servers and individual computers. Added to this, the intricacies of data protection laws differ in each country. Companies must equip teams with secure technology that provides enterprise-grade security to protect against hackers and sophisticated threats.
The challenge lies in not only supporting dispersed workforces but doing so without compromising the sanctity of sensitive information in a world where data security must align with international legal intricacies.
Fortifying small businesses
Small business owners find themselves particularly susceptible to security and privacy threats due to their limited resources, which often translates into inadequate cybersecurity measures compared to their larger counterparts. Even if resources are limited, business owners can safeguard against security pitfalls by implementing well-defined security procedures in collaboration with their employees – making it everybody’s responsibility.
Building customer trust hinges on the assurance that their information is secure when interacting with a company’s website. Recognising the pivotal role of customer trust in the sales process underscores the critical need for businesses to make cybersecurity a top priority.
Prepare for future threats
Outdated technology remains a vulnerability for businesses, as the repetitive and resource-intensive nature of updating website security opens avenues for human error. Solutions capable of automatically detecting updates, executing secure backups, and enhancing security procedures alleviate this burden, eliminating the need for manual maintenance.
AI is capable of handling laborious tasks as it analyses data for anomalies, swiftly detecting and flagging abnormalities for cybersecurity teams to address. AI-powered solutions also automate time-consuming processes, securely updating websites and backing up data, enhancing overall efficiency.
Critical features for website resilience also include the ability to manage traffic surges seamlessly. Optimising bandwidth capacity minimises friction during peak periods, ensuring responsive handling of heavy traffic loads. Crucially, automated technology that adjusts bandwidth capacity during traffic surges prevents system failures and unauthorised access.
Additionally, businesses can safeguard against security pitfalls by implementing well-defined emergency procedures in collaboration with their employees. The urgency instilled in employees when they receive seemingly urgent demands from their employers creates a vulnerable juncture that cyberattackers exploit, seizing the opportunity to pilfer information and gain access to sensitive data.
Furthermore, business owners must invest in robust security measures, implement secure payment gateways, and educate users on mobile security practices to build trust and safeguard information. Staying abreast of the evolving security landscape and adapting cybersecurity strategies to meet changing customer expectations are crucial for business success.
As we move towards a new year, it is clear that businesses need to ensure that security is a top priority. Cybercriminals will continue to use new technologies to launch ever more effective and creative cyberattacks, so businesses need to ensure that they are working to protect their data with a similar level of ferocity. This will be a key aspect of supporting business growth and success in the future.
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