January 2024 | Globe Teleservice

The Exciting Promise of Generative AI in the Telecom Sector

The telecom sector is experiencing rapid technological evolution and adoption. Telecom-specific technologies heralded by the coming of 5G and the rise of themes like OpenRAN, and network virtualization are helping improve efficiency and performance. The rise of technologies such as cloud, IoT, and 5G are also helping this sector improve operational efficiencies and elevate security. They are also helping in fraud prevention and helping companies drive personalized customer experiences.

Rising cost pressures and increasing competition are further incentivizing technology exploration for telecom and network operators, CSPs, and others operating in the telecom universe.

Generative AI is emerging as a new force promising transformational outcomes to the telecom industry and helping them navigate some of their most pressing challenges.

Why should the telecom sector pay attention to Generative AI?

AI has been one of the most talked-about technologies of our time. Generative AI is expected to be bigger and more impactful.

Reports suggest that the Generative AI market is to grow a staggering US$1.3 trillion in the next 10 years. The global Generative AI in telecom market size, estimated at USD 150.81 million in 2022, is expected to touch approximately USD 4,883.78 million by 2032.

Generative AI could find many applications in telecom and has a large impact area. For instance, it could allow telcos to work with huge data volumes and give them insights into identifying patterns to drive a positive impact on the bottom line. It promises to create opportunities to redefine how the telecom sector operates, engage with customers, optimize services, secure operations, and drive profits.

Generative AI seems to have the potential to solve complex problems and find several application areas in the telecom ecosystem.

Some of them are:

Network performance optimization

Telecom networks are vast and complex. Thousands of interconnected components run this ecosystem. Network reliability and performance are of paramount importance.

Generative AI can improve the performance, efficiency, and reliability of telecommunications networks to satisfy the ever-increasing demands of different customer segments. The technology can also support 5G initiatives by providing intelligence for load balancing and traffic shaping.

CSPs can use Generative AI solutions to unearth advice from vast amounts of unstructured data. This helps in network performance optimization, operating cost management, avoiding over or under-provisioning resources, and overall network management improvement.

Resource planning, management, and optimization

Telecos can now use the power of Generative AI to plan and build networks more efficiently to improve network performance and improve costs. This technology allows telcos to extract insights from unstructured data. This allows them to analyze data from sources such as social media, emails, customer calls, etc. to predict future demand for services.

It can analyze large data sets on network usage and predict where resources are likely to be needed. Better resource allocation capabilities directly translate to better user experience, improved customer experience, and more cost optimization.

Security and fraud detection

AI has been at work helping telcos enhance the security of their networks for a while now. With Generative AI telcos can examine larger, unstructured data sets, and set rules and user behaviors. This allows them to identify patterns that detect malicious activities and attacks proactively and effectively.

Generative AI allows telcos to move beyond static rules to address rapidly evolving and advanced threats targeting CSP networks. Algorithms that adapt to the changing threat landscape, automate anomaly detection and enable automatic remediation actions. These can present relevant data to human security analysts for faster issue detection and resolution.

Enable innovation and accelerate R&D

One of the emerging challenges in the telecom sector is the rapidly evolving regulatory landscape. Maintaining data privacy and security is becoming important for compliance with regulations like GDPR.

Generative AI can generate large volumes of synthetic data. This makes it uniquely positioned to help telecom companies and CSPs fuel innovation exploration and accelerate research and development.

Synthetic data resembles real data. It can thus be used to test and develop solutions. It can also be used to drive analytics and probabilities without exposing customer/sensitive information. This helps telcos drive their innovation agendas while maintaining data privacy, mitigating risks, and ensuring compliance.

Customer Experience

Generative AI presents numerous opportunities to influence customer experience. These range from user behavior modeling to predict customer response to new services, pricing models, and network changes. It could also be possible to identify ways to enhance service delivery with generative AI-powered chatbots as well as to adopt more intelligent CRM systems.

Intelligent virtual assistants can help the telecom sector improve operational efficiencies by relieving customer service agents of routine tasks and freeing them up for more complex assignments.

Generative AI can be used to power CRM systems and analyze extensive real-time data to gain deep insights into customer behavior. It helps companies identify potential churn risks, reduce response times, and enhance support experiences. Gen AI can analyze customer interactions, sentiment, and behavior data to grasp customer sentiments and preferences, foresee customer requirements and preemptively tackle potential concerns.

Smart Billing

Telcos can add greater intelligence to billing systems, increase billing accuracy, and reduce manual work and human errors with Generative AI. The technology can analyze customer usage data and behavior patterns and assist in creating personalized billing plans that improve customer satisfaction and reduce billing disputes.

Generative AI also finds application in fraud mitigation with a powerful algorithm ecosystem that examines trends and abnormalities in network data. The telecom sector can look at Generative AI to prevent phishing, sim-card cloning, and other security vulnerabilities and protect sensitive infrastructure and consumer data from unauthorized access or attacks.

Generative AI holds tremendous potential to drive transformational outcomes in the telecom sector. It will be interesting to see how the industry progresses to adopt it.

Shining A Spotlight On International Revenue Sharing Fraud

As the world becomes a global village, people rely on international calls and SMS to connect across borders. In fact, it has become one of the most reliable revenue sources for telecom operators.

According to a Global Market Insights report, the International Voice Carrier market will grow to $120 billion by 2032. To offset carrier costs and maximize revenue, telecom operators worldwide enter an agreement to share revenue from calls, premium numbers, and content services.

While this arrangement ensures transparency, rising incidents of International Revenue Sharing Fraud (IRSF) plague the industry. According to the Communications Fraud Control Association (CFCA), IRSF has led telecom companies to lose nearly $27 billion.

But what is IRSF, and how does it impact the telecom industry? Let’s find out.

What Is International Revenue Sharing Fraud And How Does It Affect The Telecom Industry?

To understand how IRSF works, we must know how it began.

As mentioned, telecom operators have secured arrangements with each other to share the revenue from international calls.

Revenue share varies by location and carrier due to differences in local costs and revenue goals.

Some destinations, for instance, have high call termination rates.

In IRSF, the fraudster routes the calls/messages, often automated and/or fake, to premium services or destinations with high termination rates. The fraudsters receive a higher revenue share by exploiting the revenue-sharing agreement, and telecom operators lose money in the process.

Types Of International Revenue Sharing Fraud

IRSF attacks could happen through compromised devices, bots, stolen SIM cards, etc. Here are some of the common types of IRSF attacks that occur.

1. SIM Box fraud

Fraudsters use a device called a SIM Box that contains multiple SIM cards. They use it to bypass the international call charges and make international calls using the local rates. They also direct the call or SMS to specific destinations or premium rate numbers.

2. Malware

Telecom companies are struggling to protect customer data from rising malware attacks. By some estimates, over 5.5 billion malware attacks occurred in 2022. Typically, malware enters a network and exposes customer data to various cyberthreats.

Telecom operators have always been conscious that they could face financial losses and lose customers due to security breaches, network disruptions, and service outages. To add to that, recently, the computer emergency response team (CERT) of Orange, Poland’s leading mobile operator, discovered that malware can make IRSF calls.

They explained in a communication that the malware would sneak into a mobile phone with an old Android version. It would wait till the phone is inactive for a long time to make paid calls to expensive destinations outside Europe. The “hack” often goes unnoticed until the customer receives a bill for calls they never made.

3. IP-based

IRSF is not restricted to calls or SMS anymore. Fraudsters are now targeting digital-native companies, too. They have started creating synthetic identities (a combination of fake and real customer information) and generating revenue using fake numbers. This impacts the reputation of the digital-native companies and ruins the customer experience.

How To Tackle International Revenue Sharing Fraud?

Despite being prevalent for so many years, detecting IRSF is very complex. That’s because multiple jurisdictions are involved in the process of collecting, routing, terminating, and tracking this traffic. These frauds are so complex that even law enforcement agencies struggle to identify their origin. Sometimes, the scam comes to light only when the customers complain about the exorbitant bill and at others, not at all!

According to the Communications Fraud Control Association (CFCA), telecom companies lost $38.95 billion to frauds like IRSF.

However, the good news is these frauds can be prevented with the help of regulations and technology.

1. Regulations

Given the complexities of detecting such frauds, telecom companies, regulators, and companies must work together to tackle them.

Take New Zealand Telecommunications, for instance. The leading telecom player in New Zealand had established IRSF prevention guidelines to protect customers. The guidelines provided steps to help network operators, service providers, and carriers to combat IRSF. These included guidelines like educating customers about changing PINs, turning off PBX ports, not answering calls from unknown international numbers, etc.

Similarly, Europol established a Cyber Telecom Fraud Working Group in 2017. The group comprised law enforcement officers from 18 countries and more than 35 global telecom companies to combat IRSF. In 2018, the group reported over 250,000 fraudulent transactions, 100 were reported to law enforcement agencies, and 25 new investigations were initiated. The group managed to block payments worth EUR 13.13 million.

2. Technology

Telecom companies and regulators should invest in AI/ML-powered technologies due to the multi-jurisdiction nature of crimes. This will help them detect IRSF more proactively and prevent them. These technologies can detect fraud patterns or suspicious behaviour of a user on any network and take proactive steps to suspend them. They can also use historical data to analyse and predict abnormal patterns and take pre-emptive measures to secure networks.

As IRSF becomes more sophisticated, companies cannot use traditional fraud detection systems. They must use an advanced anti-fraud solution to identify IRSF and other fraud across local and international markets.

Conclusion

The telecom industry plays a pivotal role in economic progress. Telecom bridges the global connectivity gap and uplifts the economy. Voice calls and SMS are the ever-present fabric connecting the different facets of our world today. People and businesses in remote areas can also grow by relying on this essential connectivity.

Thus, it is crucial for telecom companies to keep adopting innovative technologies to prevent telecom fraud and keep the growth engine running.

At Globe Teleservices, we believe in enabling innovation across the telecom spectrum.

Hence, we build innovative technologies, methods, tools, and approaches to help the telecom industry meet challenges and customer demands.

We have developed technologies like Armour X to identify IRSF and other fraud across local and international markets. This helps telecom companies reduce revenue leakage, improve customer experience, and secure their network better than competitors.

To know more about how technology can help you prevent telecom fraud like IRSF, contact us.

The Evolution of Firewall: From Legacy Systems to Next-Gen Security

In an industry that prides itself on keeping the world connected digitally, the telecom sector is no stranger to security threats. With the highest number of global DDoS attacks, it has long relied on firewalls as a primary threat aversion mechanism.

Legacy firewalls have been a mainstay for a while

By filtering out suspicious traffic or rogue elements from within their global network through predefined rules, firewalls have safeguarded the telecom sector from several threats. 5G rollout is underway on a big scale globally. As the world prepares for a new dimension of digital complexity, traditional firewalls may not do the job for telecom players anymore.

The challenges of legacy firewalls

They are incapable of supporting modern network complexities. They could also fall short of being able to handle newer operating nuances like cross-protocol integration, security node-based signaling in the place of core network nodes, etc.

However, an even bigger threat lies in the inability of legacy firewalls to counter new-age cyber threats.

The digital world which is growing exponentially is also now one of the major avenues of fraudulent activities and exploitation. From the theft of sensitive customer data to impersonation or identity fraud, the breadth of the threat landscape is immense.

Cybercriminals are even deploying artificial intelligence-driven agents into the digital space to break safeguards and penetrate deeper into enterprise networks. Very often, the entry point they choose to attack is the gateway used by an enterprise to connect with the internet. Suspicious links embedded in SMS text messages can go past legacy firewalls and easily put users at risk.

That’s why traditional firewalls deployed by telecom operators must be equipped with the intelligence or knowledge needed to combat such threat agents.

The shift to new generation firewalls – Why now?

The need to strategically move into the next generation of firewall capabilities is critical given the industry’s role as a key pillar of digital transformation in all sectors. Additionally, here are some of the top reasons why telecom operators must embrace the next generation of firewall technologies to stay competitive:

Rise of cloud

Today, cloud services are used by almost every business irrespective of its size or domain. With the cloud, user authentication becomes a major step of the usage journey. Most businesses rely on traditional methods like SMS-based OTP authentication or call-based authentication to help end-users avail cloud services. However, legacy firewall technologies cannot distinguish between genuine authentication prompts sent by the business and fraudulent signals ingested into the network by criminals.

New age threats

Telecom fraud is a major threat that needs attention. Studies point out that in 2023, telecom fraud has risen by as much as 12%. This translates to billions of dollars in lost revenue.

Similar to SMS frauds, and authentication fraud via missed calls mentioned before, there are a number of diverse network-focused threats in play today. Through fraudulent routing, fraudsters may bypass legacy firewall protection and reach end users with communication scripted as a genuine business message. Other means like bulk malicious SMS traffic may cause legacy firewalls to be jammed and entry into the network automatically provisioned to prevent further congestion. Such threats pose significant risks to telecom operators, compromising network security and yielding negative outcomes.

Growth of IoT

With 5G technology taking off at scale, businesses will look forward to mobilizing their resources around promising technologies like the Internet of Things (IoT). Worldwide spending on IoT is expected to surpass the USD 1 Trillion mark by 2026.

A lot of machine integrations will happen in services traditionally offered by businesses. For example, scenarios like a smart fridge placing replenishment orders to the nearest grocery retailer or an e-commerce service autonomously can become a normal thing soon. There is a catch here. With machine communication over the internet becoming mainstream, it is extremely important to authenticate credentials of control data. Control data could be transmitted in the form of messages, calls, etc. Traditional legacy firewalls are not capable of handling such advanced authentication processes.

The promise of new-generation firewalls

As telecom companies gear up to spearhead digital innovation, they can certainly leverage highly intelligent firewalls like the GTS Armour firewall to guard their progress at all times. Such new-generation firewalls come with a host of features that are much needed in the emerging security and evolving landscape of telecom usage.

One of the striking benefits that telecom companies can leverage from modern firewall solutions is the use of artificial intelligence and machine learning in firewall operations. From threat discovery to neutralization, AI-powered continuous analysis of network traffic by modern firewalls holds great promise. They equip telecom players with the much-needed confidence to partner with other businesses for their digital ambitions.

Platforms like the GTS Armour offer protection against high-end security threats like identity fraud. There is a combination of techniques that firewalls use. Some include robo-calling, interconnect fraud prevention guards, virtual machine fraud detection, etc. Such firewall solutions offer peace of mind for telecom players as they seek to expand their business partnership ecosystem. Through powerful contextual analysis such AI-powered firewall solutions can easily identify and block fraudulent or suspicious text messages way before they are delivered to end users.

Telecom companies are perceived as a foundational element of modern digital experiences. Securing their operations is of primal importance for telecom businesses. Investing in state-of-the-art firewall solutions like Armour helps telecom companies improve their trust credentials in the market with proven security. Get in touch with us to learn more about revamping firewall security in your telecom business with the GTS Armour firewall.