You don't have javascript enabled.

Official warnings mount as AI driven attacks on finance become a reality

Synthesizing the latest alerts from the UK’s NCSC and the US FBI, this analysis moves beyond the hype to provide a factual look at how AI is being used to catalyze hyper-realistic phishing attacks and deepfake payment fraud, offering crucial, actionable insights for security leaders defending against this clear and present danger.

  • Nikita Alexander
  • June 6, 2025
  • 4 minutes

The theoretical discussions around AI-powered cyber threats are officially over. Government agencies and cybersecurity leaders on both sides of the Atlantic are issuing concrete warnings as evidence mounts that threat actors are actively weaponizing AI to attack the financial sector with unprecedented speed and sophistication.

Unlike speculative hype, this new wave of threats is quantifiable and confirmed. For CISOs and fintech security professionals, the challenge is no longer about predicting the future; it’s about defending against a clear and present danger.

This analysis synthesizes the latest official alerts and threat intelligence to provide a factual look at how AI is actively reshaping financial cybercrime.

NCSC and FBI sound the alarm

Leading the charge are the primary cybersecurity bodies in the UK and the US. The UK’s National Cyber Security Centre (NCSC) has explicitly warned that generative AI is lowering the barrier to entry for cybercriminals, enabling less-skilled actors to create highly convincing phishing emails and fraudulent content at scale.

Similarly, the US Federal Bureau of Investigation (FBI) has repeatedly issued warnings about Business Email Compromise (BEC) schemes, a threat now being supercharged by AI. Their Internet Crime Complaint Center (IC3) consistently reports that BEC is one of the costliest forms of cybercrime, and they have highlighted the emerging use of deepfake technology to enhance these scams.

Threat vector 1: Generative AI as a phishing catalyst

The most immediate and widespread impact of AI is in social engineering. Threat intelligence from firms like Zscaler shows a dramatic increase in phishing attacks since the public release of advanced generative AI tools.

  • How it works: Attackers use Large Language Models (LLMs) to craft flawless, context-aware emails, overcoming the language and grammatical errors that once served as red flags. These tools can tailor messages for spear-phishing campaigns in seconds, using a victim’s professional details from LinkedIn to create a believable pretext.
  • The Impact: This has led to a surge in credential theft and initial access attempts, which are the precursors to major data breaches and ransomware attacks.

Threat vector 2: The deepfake reality in payment fraud

While headline-grabbing, deepfake fraud is now a documented reality. The most prominent application is voice cloning used in BEC attacks to authorize fraudulent payments.7 In these schemes, a CFO or CEO might receive a call from what sounds exactly like their superior, urgently requesting a wire transfer.

While high-profile cases have been reported globally, the underlying technology is becoming more accessible, prompting the FBI to warn that it represents a significant emerging threat to businesses. They advise extreme caution and the use of out-of-band verification (e.g., calling back on a known, trusted number) for any unexpected financial requests.

Actionable defense in the AI era: expert recommendations

Based on guidance from government agencies and security experts, a multi-layered defense is crucial:

  1. Upgrade Email Security: Traditional email gateways are no longer sufficient. Institutions need solutions with AI-powered capabilities that can analyze the context and intent of an email, not just scan for known malicious links or attachments.
  2. Intensify Employee Training: Security awareness must be updated to address AI threats. This includes training employees to scrutinize urgent financial requests, regardless of how convincing the sender’s email or voice may sound, and to use secondary verification methods.
  3. Strengthen Identity Controls: Robust Multi-Factor Authentication (MFA) is non-negotiable. Financial firms should prioritize phishing-resistant forms of MFA to protect against credential theft.

The evidence is undeniable: threat actors are successfully operationalizing AI. The statistics on rising social engineering attacks and the official warnings from bodies like the NCSC and FBI confirm that the financial sector is a primary target.

For security leaders, this means a pivotal shift in mindset is required. The focus must be on building a resilient defence that anticipates the use of AI by attackers. Investing in AI-powered defensive tools, fostering a culture of healthy skepticism among employees, and implementing robust verification protocols are no longer forward-thinking strategies—they are the essential baseline for securing a financial institution today.