Siloed Defenses Help Fraudsters. The Cyberfraud Protection Guide Shows CISOs How to Break Them Down.

Preventing fraud used to be simpler.

Cybersecurity teams protected the infrastructure. Fraud teams reviewed transactions. Each worked in their domain. The attacks were slower. The tactics, less sophisticated. And the tools, siloed and rule-based, were often enough.

That time is over.

Today’s fraudsters don’t just target payment pages. They target your entire digital stack. They launch automated, AI-powered attacks that span login flows, APIs, mobile apps, checkout systems, and everything in between. They scrape, stuff credentials, register fake accounts, exploit business logic, and evade detection, moving from one stage to the next in a matter of seconds.

In this new era, effective defense demands a new approach.

That’s why our team of cybersecurity and fraud experts wrote A CISO’s Guide to Cyberfraud Protection: a practical framework for unifying fraud and security teams, operationalizing intent-based detection, and building real-time protection that adapts as fast as the attackers.

What is cyberfraud protection?

Cyberfraud protection is a unified, AI-powered framework that brings fraud and cybersecurity teams together through shared tools, data, and workflows. It analyzes the intent behind every interaction to detect and block malicious behavior in real time across the entire user journey.

Cyberfraud typically involves the use of digital technologies, particularly bots, AI, automation, and open-source tools, to carry out unauthorized or deceptive activity for financial gain or data theft. These attacks are no longer manual or isolated. They’re automated, persistent, and global in scale, blending bots, fake accounts, stolen credentials, and business logic abuse into a single, coordinated operation.

Why it matters now

Cyberfraud has reached a tipping point.

Attackers now operate more like startups than lone hackers. They’re using scalable infrastructure, purpose-built tools, and even agentic AI to bypass traditional defenses. They don’t just impersonate users, they simulate them.

Meanwhile, defenses remain fragmented. Fraud and cybersecurity teams still rely on different tools, data, and workflows, leaving critical gaps that sophisticated attackers exploit.

The guide explains why this outdated model no longer works, and why cyberfraud fusion, the convergence of fraud and cybersecurity functions, is quickly becoming the standard. In fact, Gartner says that “by 2031, at least 50% of large financial institutions and online retailers will consolidate online fraud prevention personnel, duties and responsibilities into cybersecurity teams reporting to the CISO.”¹

What you’ll find inside the guide

Whether you’re a CISO navigating automation at scale or a fraud leader pushing for consolidation, this guide breaks down how to modernize your defenses. Inside, we cover:

• A modern-day attacker framework that shows how attackers operate, from reconnaissance to monetization, and where defenders can disrupt them by shifting from identity checks to intent-based detection.
• How real-world teams are adopting cyberfraud fusion to share intelligence, align KPIs, and accelerate response, including an organizational chart for unified operations.
• The capabilities that make up cyberfraud protection, along with a maturity model to benchmark your current posture and chart a path toward proactive, AI-driven defense.
• A real-world case study on stopping a multi-pronged, AI-powered fraud campaign targeting a global marketplace.

How to get started on your cyberfraud protection journey

Cyberfraud protection doesn’t happen overnight. But you can begin today.

1. Download the guide to understand the full attacker framework, explore practical detection strategies, and learn how modern teams are protecting every layer of the user journey.
2. Take the free Vulnerability Scan to discover exposed assets and see how you stack up.
3. Request a demo to see DataDome’s Cyberfraud Protection Platform in action.