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Back To Research and Insights

AI-driven fraud in finance: Key risks and best practices

2025 March
Effective fraud-detection strategies are available to mitigate risks.

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AI-DRIVEN FRAUD IN FINANCE: KEY RISKS AND BEST PRACTICES Ensure protections against AI-generated fraud.

Artificial intelligence (AI) brings immense opportunities and risks to the finance function.

A music streaming royalty scam using AI-generated music highlights the threats that management accountants must be aware of to protect their organisations against cyber fraud.

Between 2017 and 2024, a musician used AI-generated music and automated bots to exploit the royalty models of streaming platforms like Spotify and YouTube Music.

The musician, based in North Carolina, USA, created an extensive library of AI-generated songs and artificially inflated streams through bots; this scheme evaded platform oversight for years. Through the scheme, he collected over £7 million in unlawful payments.

One person’s AI scam highlights prevailing concerns

The music streaming scam raises important questions about how businesses can identify and mitigate AI-fuelled fraud.

Organisations that don’t have adequate protective measures in place can face far-reaching and serious consequences.

Soaring scam and fraud sophistication remains a top challenge, threatening to overwhelm the global financial services sector, according to a survey commissioned by Mitek and Censuswide. Fifteen hundred financial services risk and innovation professionals from the UK, US, and Spain were surveyed. The survey revealed that banking risk and innovation leaders are most concerned with scams related to the rise of AI-generated fraud and deepfakes.

AI-driven fraud and risk mitigation is a top priority for finance leaders and underscores the importance of understanding fraud trends and knowing strategies that will protect clients and organisations.

Strategies to protect against AI-driven fraud

Telltale signs of AI-generated fraud exist. But AI now enables fraudsters to employ even more sophisticated and hard-to-detect fraud schemes.

Management accountants must understand AI technologies more deeply and how they are commonly used in fraudulent schemes.

Gaining knowledge of how AI is employed to commit fraud enables you to identify potential vulnerabilities in your organisation's systems, allowing for stronger fraud prevention measures to be implemented.

Deepfakes have emerged as a real cybersecurity threat; knowing what to look for in video, audio, images, or textual data (SMS or written content) to detect fraud is a vital skill for management accountants.

You play a crucial role in establishing strong control frameworks that mitigate risk and protect organisations. Proactive fraud-detection strategies include integrating AI-based anomaly-detection tools, implementing solid oversight, enhancing cybersecurity measures, and improving data analysis capabilities.

Human oversight is crucial, but you also need to leverage AI to detect fraud effectively.

To protect organisations against cyber threats, AI tools can be used to sift through large amounts of data and find patterns or transactions that could indicate fraudulent behaviour.

Advanced data analytics tools enable real-time transaction monitoring and strengthen data analysis capabilities.

Solid control frameworks include clear policies and routine audits. These frameworks should also integrate AI-based monitoring and fraud-detection systems.

Knowledge sharing with colleagues and peers at networking events, such as conferences, can also strengthen your understanding and improve collective defences against AI-driven fraud. Collaborating with regulatory bodies or companies that provide fraud-detection technology can provide the necessary guidance and expertise.

Assessing and adjusting your fraud-detection tools as needed is a continual process. Updating internal control frameworks and technologies is also crucial as fraud schemes change and become increasingly sophisticated.

As a finance professional, excelling in a tech-driven environment means you must also invest in your professional development and engage in ongoing training related to the latest fraud tactics and prevention strategies.

Resources to expand your knowledge of AI-driven fraud

Deep knowledge and experience with AI and emerging technologies enable you to advise senior leaders and executives within your organisation, positioning you as a strategic thinker and problem-solver.

Earning the Chartered Global Management Accounting® (CGMA®) designation and becoming a CIMA® member signifies that you are equipped to navigate the complex challenges posed by AI and emerging technologies.

Ethics, strategic thinking, and technical expertise are key areas where you will strengthen your knowledge so that you can safeguard your organisation against future cyber threats and AI-driven fraud.

Explore further insights on AI:

  • ‘Generative AI: A complimentary technology’

  • ‘Growing cybersecurity imperative for finance professionals’

  • ‘Machine learning for anomaly detection — Insights and risks’

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