Digital defense: Combatting cyber fraud with real-time threat intelligence

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The stakes are significant: In 2025, global cybercrime damages reached an estimated $10.5 trillion, effectively making cybercrime the world’s third-largest economy by GDP. For financial institutions (FIs), the average cost of a data breach now exceeds $4.4 million, with long-term consequences that often extend well beyond immediate financial losses.

This growing impact reflects a fundamental shift in how cyber fraud and scams operate. As the digital economy expands, cybercriminals are leveraging artificial intelligence, real-time data sources and increasingly sophisticated tactics that exploit human trust, allowing them to bypass traditional, static controls and place mounting pressure on FIs, merchants and consumers.

In response, real-time fraud intelligence is emerging as a more proactive approach to fraud prevention. By continuously analyzing behavior across transactions, channels and relevant external threat signals, institutions can detect suspicious activity earlier, reinforce trust and build greater operational resilience in an increasingly dynamic threat environment.

From isolated events to enterprise-wide risk

Cyber fraud is increasingly being recognized as an enterprise-wide risk rather than an issue managed solely by fraud teams. Effects can extend across financial performance, operational resilience, regulatory exposure and brand trust.

While direct financial losses tend to command the most attention, they account for only a fraction of the true business impact. Cyber incidents can drive recovery and remediation costs, disrupt operations, reduce productivity, strain internal teams and expose sensitive data, including intellectual property.

Data breaches can severely undercut consumer trust in a company’s operations and overall brand. Simultaneously, legal, regulatory and industry expectations continue evolving, placing greater emphasis on demonstrable, proactive risk management. Where controls prove insufficient, institutions may face fines, litigation and added financial and reputational pressure.

Institutions that are modernizing their cybersecurity protocols and investing in real-time fraud intelligence to reduce or eliminate potential exposures are better positioned for digital growth centered on customer protection and trust.

How modern threats are outpacing traditional controls

Today’s threat landscape is becoming more complex in both speed and adaptability, challenging static, rule-based controls. One example is QR-based phishing, or “quishing,” a process by which attackers use fragmented QR images to make it more difficult for security tools to automatically detect malicious links.

In relation to AI-enabled workflows, hackers are now partaking in “prompt injecting,” which refers to the practice of embedding invisible text in emails that gets by the recipient but could potentially be picked up and interpreted by AI-enabled automated systems trained to respond to prompts. Here is an example of a prompt injection:

The strategic imperative: Build proactive, unified and multi-functional defenses

The business implication is clear: Defenses can no longer be reactive, fragmented or confined to a single function. FIs should think more broadly about the threats they face and identify opportunities to bring their traditionally separate cybersecurity and fraud-prevention capabilities together. They should also adopt real‑time, intelligence‑driven cyber fraud strategies capable of continuously analyzing behavior across transactions, channels, users and emerging threat vectors.

Those that do this will not only reduce losses but also strengthen operational resilience, meet rising regulatory expectations and reinforce customer trust in an increasingly challenging digital ecosystem.

A growing number of FIs are shifting toward more integrated approaches to cyber fraud risk by aligning cybersecurity and fraud prevention capabilities. Real-time, intelligence-driven systems that analyze behavior across transactions, channels, users and emerging threat vectors enable institutions to connect signals, respond faster and make more confident decisions at scale. When effectively aligned, these capabilities can play a critical role in reducing losses while supporting safer, more resilient digital growth.

Building cyber resilience in a converging threat landscape

Building cyber resilience requires a shift from traditional, function-based operating models to ones designed for continuous, real-time risk management. Rather than relying on periodic reviews and siloed controls, FIs are moving toward coordinated models that integrate people, processes and technology to deliver real-time visibility, faster decision-making and sustained protection across the enterprise.

A five-pillar strategy to modern cyber resilience

“Zero Trust” for humans and AI agents

As AI agents increasingly access systems and data autonomously, Zero Trust principles should extend beyond human users. Continuous verification, least-privilege access and assume-breach models are essential to limiting the impact of compromised credentials or manipulated agents.

Cybersecurity maturity and best-practice alignment

Meeting established security standards provides an important foundation, but it is not sufficient on its own. Institutions also need clear visibility into their cybersecurity maturity and a prioritized roadmap to strengthen controls over time as threats evolve.

Advanced intelligence and security capabilities

Effective defense depends on early detection and informed response. Integrating internal signals with external threat intelligence enables faster decisions, stronger protection and reduced fraud-related losses across payment channels.

Continuous testing and resilience validation

Cyber resilience should be an “always on” function. Ongoing testing and incident readiness allow institutions to verify that controls function effectively in practice, identify gaps early and adapt defenses as attack techniques change.

Workforce readiness and threat awareness

Human behavior remains a primary entry point for cyber fraud, as attackers frequently exploit trust, routine actions and moments of distraction to bypass controls. Institutions should strengthen security awareness and close skills gaps to reduce exposure to social engineering, phishing and AI-enabled attacks.

Enabling cyber resilience across five critical pillars

Visa Consulting and Analytics (VCA) supports institutions looking to strengthen their cybersecurity systems by combining advisory expertise with insights drawn from payment network data and real-world threat patterns.

Key capabilities include

• Visa University cybersecurity courses, structured training and tailored workshops
• Advisory support for Zero Trust adoption across human and AI identities
• Cybersecurity Maturity Assessments to identify gaps and prioritize investments
• Global threat visibility and threat-informed intelligence from the payments ecosystem
• Testing and validation services, including phishing simulations and penetration testing

To learn more about these strategies and how VCA can support cyber-fraud resilience, connect with a member of VCA’s Cybersecurity Practice or reach out to your dedicated Visa account manager to discuss your business objectives.

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References

1. David Braue, “Cybercrime To Cost the World $12.2 Trillion Annually by 2031,” Cybercrime Magazine, May 28, 2025.
2. Neven Matas, “The Cost of Cyberattack in 2025,” Infinum, September 17, 2025.
3. IBM, “Cost of a Data Breach Report 2025,” IBM Reports.