When the Call Begins: AI, Trust, and the Next Frontier of Compliance

Homer Simpson once described alcohol as “the cause of, and solution to, all of life’s problems.”

Replace “alcohol” with “AI”, and “life” with “compliant call recording,” and you begin to understand the challenge currently facing the finance industry. Since it was unleashed on the public in 2022, generative AI has been a constant source of debate in the financial industry, with the business improvements it promises offset by its potential for misuse. When implemented wisely, AI call recording tools can be transformational for efficiency, accuracy, and security, particularly when used to parse large volumes of data, such as corporate mobile recording databases. The same efficiencies and real-time capabilities also make it a catalyst for cybercrime, “vishing” (voice phishing), and fraud.

Now, compliance and IT departments are faced with an arms race between artificial intelligence-driven fraud and AI tools used to detect and prevent compliance and security breaches.

In this environment, it’s not enough simply to “implement AI tools”. Companies need to consider the long-term strategy of their compliance and recording methods, determine where artificial intelligence can provide genuine value, and decide which partners can best deliver it. For employees, AI-assisted systems can detect deepfakes and determine whether the voice on the other end is genuine. However, privacy concerns remain about deploying these recording tools during phone conversations.

Here, we explore how genAI has changed the way IT administrators approach mobile recording and what this could mean for the future of compliance.

Recording, compliance, and AI in telecommunications

Artificial intelligence has had a significant impact on financial institutions, particularly in the world of mobile capture and recording. Smartphones released in the last three years often feature some form of mobile AI assistant, used for everything from summarizing messages to real-time voice translation.

AI-generated text messages and voice interactions are now commonplace on trading floors and client calls. We’ve previously explored how the evolving communication norms driven by mobile technology are impacting compliance departments: genAI is yet another catalyst.

To adhere to regulatory laws, financial firms must record and store all mobile communications, across all channels, from all employees. They must also be able to archive, recall, and produce these recordings in the event of an investigation or audit.

Compliance teams are already struggling with the administrative overhead these demands create. As global mobile usage continues to soar, this bottleneck will only narrow.

As these mobile communication channels are constantly evolving, so too must compliance departments adapt their practices and integrate new technologies to keep pace. As voice, messaging, and transactions scale across global networks, businesses are faced with an existential question: what role should artificial intelligence play once the call begins? Is AI recording intrusive? Or an essential security gateway?

While AI has transformed how we initiate communication, far less attention has been paid to what happens during the interaction itself: AI recording communication and recording tools are alternately viewed as an unnecessary layer of intrusion, or a critical method for ensuring trust, authenticity, and compliance in an era of deepfakes and synthetic voices.

AI as a cybersecurity measure

The release of OpenAI’s RealTime API in late 2024 instantly transformed the viability and sophistication of AI voice simulation, allowing conversational AI programs to mimic human speech in real time. As the Financial Times observes, “the voice on the other end of the line is no longer evidence of who is speaking”.

When deployed incorrectly, AI-driven recording, telecom compliance, and cybersecurity systems can increase the risk of a data or compliance breach. Integrating new AI services can still cause serious problems: last month, tech startup PocketOS saw its entire database deleted by its Claude-based AI agent.

The 2025 IBM Cost of a Data Breach report found that unsupervised AI cybersecurity systems are “more likely to be breached and more costly when they are,” while MIT’s AI incident tracker reports a sharp increase in the percentage of breaches caused by “AI system security vulnerabilities and attacks”.

The IBM report neatly illustrates this fine balance, noting that, while AI-powered security systems helped global data breach costs to decline for the first time since 2020, the percentage of breaches “reportedly involved attackers using AI” has also risen. The result is a digital ouroboros: firms are racing to implement AI technologies to better detect AI-enabled fraud.

Internal solutions alone cannot help compliance departments face this new era of wireless communications. They need state-of-the-art services that are backed by a partner with the knowledge and experience to implement them securely.

While adopting AI security and recording measures is fundamental to continued success in the financial world, these must be done through expert and leading, trusted voices in the compliance space, like 1GLOBAL. Relying on traditional monitoring practices in the AI era is no longer a viable option.

The end of traditional call monitoring?

Considering the risks, then, why use AI at all? Simply put, traditional monitoring methods can no longer keep pace with modern demand.

Legacy recording and archiving systems were built to capture individual phone conversations and SMS exchanges between employees and clients. With business communications now occurring across multiple channels, including group chats, instant-messaging services, and conference calls, these systems are struggling to keep pace with contemporary business norms.

Organizations must be able to simultaneously record, analyze, and interpret these communications while scanning for potential breaches or conduct violations. This is where AI recording tools come in.

This need is particularly pressing in global financial institutions, which require multilingual support that considers the cultural context and intent of every single communication taking place across their network. Manual sampling and monitoring cannot fulfil these needs — relying on these traditional methods isn’t just inefficient, it incurs serious risk.

A recent report on AI tools in business revealed the dual role the technology can play in an international financial institution: not only can it assist with voice authentication and generate security alerts, but “The same technology is being used to increase the efficiency of outbound calls – it's now common practice for financial businesses to AI outbound calls and AI voice agents”.

AI-powered call recording software offers enterprises the opportunity to leverage their vast volumes of call recordings to uncover insights and provide compliance teams with real-time analytics and control.

1GLOBAL communication analytics for compliance

1GLOBAL Communications Analytics is a call transcription and analysis platform specifically designed for financial institutions. The service helps banks meet their compliance obligations while turning the records into searchable data. This ensures watertight regulatory adherence while also providing enterprises with an invaluable business resource: predictive analytics alerts teams to emerging risks, enabling them to act before issues escalate into breaches or fines.

By combining recording, storage, archiving, transcription, and AI-driven insights into a single digital platform, 1GLOBAL Communications Analytics simplifies and streamlines processes for compliance teams while maintaining stringent cybersecurity and regulatory technology (RegTech) standards.

As well as generating insights and improving efficiency, smart recording tools serve another purpose: detecting deepfakes.

Hearing what humans can't: deepfake detection

Last year, the UK telecommunications regulator Ofcom defined a deepfake as a subset of “synthetic media”, or “Video, image, text or audio that has been generated in whole or partly by Artificial Intelligence (AI) algorithms”. In contrast to other hoaxes and impersonations, deepfakes are necessarily created by AI tools. Their rise has been rapid, spurred by developments in generative AI: Digital identity company Onfido reported that the number of attempts to use fraudulent deepfakes to circumvent its identity solutions had increased 3000% between 2022 and 2023.

The technique has already been used to orchestrate several high-profile attacks on banks and financial institutions: in 2024, a multinational firm lost $25 million after an employee was lured into a video conference call where every other participant was an AI-generated impersonator.

The growing sophistication of these models requires state-of-the-art countermeasures. Advanced deepfake detection systems can identify and flag the hallmarks of synthetic or manipulated video and audio, helping to verify genuine interactions. Doing so in real-time, during a call or video meeting, allows employees to operate as normal while being shielded from potential deepfake scams.

Navigating compliance in an AI future

AI is now firmly embedded into the mobile communications UX — how firms react to this will determine the success, efficiency, and security of their compliance policy for years to come. In a world where communication norms are changing daily, a system that instantly analyses and reacts to company communications in real-time allows organizations to make informed decisions.

Deepfake detection and communications intelligence are still emerging markets, with the underlying technology set to change rapidly in the coming years. Regulatory frameworks like the EU AI Act and MiFID III include instructions on the use of AI tools in communications and business, underlining the growing roles it's expected to play in business communications. Companies can prepare for this by adopting a flexible, scalable compliance and recording strategy that can adapt to their needs and to changing technology and mobile communications behaviour.

Compliance practices need to evolve at the same pace as the threat— investing in smart recording solutions turns a regulatory requirement into a strategic asset. Companies can use the analysis and insights generated by a unified recording platform like 1GLOBAL Communications Analytics to inform their decision-making while simplifying work for internal compliance departments. Effective AI deployment must prioritise explainability, auditability, and data privacy, ensuring trust is maintained alongside innovation.

The 1GLOBAL Communications Analytics solution shows how AI can be used to add a layer of trust to business communications. Real-time functions ensure that mobile recording remains compliant with ever-evolving regulations, while AI-driven processes parse terabytes of data to verify and authenticate every message, call, and text made by an organization.

1GLOBAL Compliance

1GLOBAL Compliance provides fully in-network recording solutions that capture every interaction, across devices and regions, and securely store them in the cloud. This digital-first approach is why 8 of the world’s 10 largest banks use 1GLOBAL Compliance services to meet their regulatory obligations. Find out how your company can partner with 1GLOBAL by contacting our team today.