AI-Driven Fraud Risks Rise, Exposing Corporate Vulnerabilities

According to a 2024 study by Allianz Trade, 76% of business leaders believe artificial intelligence is amplifying fraud risks, with deepfakes and synthetic identities emerging as key tools for cybercriminals. The report, conducted in partnership with Odoxa, highlights a stark divide in preparedness across company sizes, as fraud incidents surge despite growing awareness.

AI and Fraud: A Growing Threat Landscape

Seventy-six percent of surveyed executives link AI to heightened fraud risks, particularly through deepfake audio and video scams, according to the Allianz Trade 2024 barometer. These technologies enable fraudsters to impersonate executives or clients with unprecedented realism, complicating verification processes. Ilan Daian, head of Fraud Insurance at Allianz Trade France, notes, “Criminals are leveraging technological and organizational vulnerabilities, making fraud a measurable and critical threat to corporate liquidity.”

The study reveals that 85% of businesses faced at least one fraud attempt in the past year, with 60% of small and medium enterprises (SMEs) and 85% of large companies reporting incidents. Fake supplier schemes, including falsified bank details, and client impersonation dominate, followed by CEO fraud. Financial losses exceeded €10,000 in 85% of cases, with 10% of victims losing between €20,000 and €99,999.

Corporate Preparedness Lags Behind Threats

Despite the rising threat, corporate readiness varies sharply. While 92% of large enterprises and 76% of SMEs rate their fraud defenses as strong, only 61% of small businesses (TPEs) feel equipped. A significant 16% of all companies have no fraud prevention measures in place, and just 30% carry fraud insurance—compared to 74% in large organizations.

Laurent Treilhes, CEO of Allianz Trade France, emphasizes, “The challenge lies in translating awareness into a robust prevention culture.” The report also uncovers internal vulnerabilities: 57% of employees observed fraudulent behavior, ranging from resource misuse to data or fund theft, underscoring the need for stronger internal controls.

Strategies for Mitigating AI-Driven Fraud

Experts recommend multi-layered approaches, including AI-powered fraud detection systems, employee training, and stricter verification protocols for financial transactions. “Businesses must prioritize both technological safeguards and organizational awareness,” says Daian. However, implementation remains uneven, with smaller firms often lacking the resources to adopt advanced solutions.

As AI capabilities evolve, so too must corporate defenses. The Allianz Trade study serves as a wake-up call, highlighting that while 76% of leaders recognize AI’s role in fraud, only a fraction have acted decisively to mitigate risks.