Agentic AI attacks
AI agents carry out full user journeys, from scraping to fake checkout, all on autopilot.
GUIDE
How C-level leaders can unify cybersecurity & fraud teams to outpace AI-powered attacks
Get the guide that’s redefining how organizations fight fraud in the age of bots, AI, and automation.
The threat is unified.
Your defense should be too.
Bots. Fraud. AI-driven abuse. The line between cybersecurity and fraud prevention has blurred, and attackers are winning because of it. While most organizations still defend in silos, modern adversaries blend techniques across your entire attack surface.
This is your strategic guide to fighting back with Cyberfraud Protection, a fused approach that brings together fraud and security teams, tools, and signals into one defense model.
Get the full guide
By clicking on « Download now » you acknowledge that you have read and agreed to our Privacy policy and Terms of use, including how DataDome processes your personal data.
Preview what's inside
What happens when fraud and security teams stop operating in silos?
What’s inside the guide?
How attackers operate in the AI era
Explore the modern cyberfraud kill chain from reconnaissance to monetization, and uncover where legacy defenses fall short.
What cyberfraud fusion looks like in practice
See how leading organizations are aligning cyber and fraud teams under one operational model, enabling faster detection and stronger outcomes.
How to assess your maturity
Use the Cyberfraud Protection Maturity Model to benchmark your current capabilities and chart your course toward real-time, AI-powered defense.
Assess your cyberfraud maturity
Our cyberfraud protection maturity model breaks down the four maturity stages, from basic controls to full cyberfraud fusion, so you can pinpoint where you currently fall.
AI is reshaping fraud.
Your defenses should evolve too.
Synthetic identities
AI-generated users mimic real ones, bypassing static checks and KYC.
Mimicry & evasion
Bots use AI to spoof behavior, solve CAPTCHAs, and switch devices on the fly.
Fake content at scale
Generative AI floods platforms with fake listings, reviews, or claims that overwhelm moderation.
Promo & loyalty abuse
Scripts exploit business logic to mine discounts, loyalty points, or trigger false refunds.
Real-time adaptation
AI doesn’t wait. It shifts tactics in seconds when blocked, testing your defenses on the fly.
What experts are saying about the guide
“Clear framing and practical guidance—DataDome’s Cyberfraud Protection Guide gives CISOs a benchmark to move from awareness to action.”
FAQs
What is cyberfraud?
Cyberfraud is online fraud that blends cybersecurity threats with automated attacks to steal data, take over accounts, or commit financial abuse. It targets every layer of the digital customer journey (like logins, payments, and business logic) using bots, fake accounts, and stolen credentials to evade detection and monetize vulnerabilities at scale.
What is Cyberfraud Protection?
Cyberfraud Protection is a unified, AI-powered framework that brings security and fraud teams together through shared tools and data. It analyzes the intent behind every interaction to detect and block malicious behavior in real time, stopping threats across the entire digital user journey.
Is Cyberfraud Protection a new security category?
Yes. Cyberfraud Protection represents an emerging category born from the convergence of fraud prevention and cybersecurity. As modern attacks grow more automated, multi-vector, and AI-driven, organizations are recognizing the need for a unified defense that spans both domains.
How does Cyberfraud Protection differ from traditional fraud prevention?
Traditional fraud tools often rely on static rules, post-event analysis, or identity verification alone. Cyberfraud Protection goes further by using adaptive AI and behavioral analysis to detect intent and stop threats proactively across every touchpoint, in real time.
What types of threats does Cyberfraud Protection stop?
Cyberfraud Protection helps block a wide range of threats, including fake account creation, scraping, credential stuffing, session hijacking, card testing, promotion abuse, refund fraud, and more. It’s designed to catch complex, evolving attack patterns that cross team and system boundaries.
Why are companies combining cybersecurity and fraud teams?
Because attackers don’t operate in silos, so defenders can’t either. Many modern fraud incidents stem from security gaps. As a result, enterprises are beginning to converge cyber and fraud teams, signals, and tooling under a shared mission: to stop threats faster and more effectively.
TEST YOUR SITE
Are you protected against cyberfraud?
Instantly assess your cyberfraud protection readiness. Get free, immediate access to the DataDome platform to uncover which of your domains and subdomains are exposed.