The risk landscape is evolving, fueled by AI. Our new report shows a whopping 88% of companies report an observed increase in AI bot attacks. Is your enterprise ready? Check out the infographic for other key benchmarking stats!
What You’ll Learn
- How AI is accelerating the evolution of online fraud
A clear understanding of how AI-powered bots, automated tools, and generative AI techniques are reshaping the threat landscape across revenue-generating platforms.
- Why enterprises are struggling to keep up with AI-driven attacks
Insight into the readiness gap facing most organizations, including limited preparedness, increased bot activity, and widespread material losses.
- Which attack types pose the highest risk to critical business applications
A breakdown of credential stuffing, fake account creation, MFA compromise, loyalty fraud, and generative-AI-enabled threats—and why each is rising in impact.
- How organizations across industries differ in their ability to defend against volumetric AI attacks
A look at preparedness levels across fintech, tech platforms, banks, social networks, airlines, hospitality, and streaming services.
- The defensive best practices leaders are using to counter AI threats
Guidance on AI-resistant challenges, real-time detection of phishing infrastructure, and identification of impersonation attempts—practices helping organizations stay ahead.
FAQ
Why is AI intensifying the online fraud landscape?
AI is making attacks faster, more scalable, and more adaptive. Fraudsters now leverage AI-powered bots, generative tools, and automation to bypass traditional controls, test stolen credentials, and impersonate legitimate users at unprecedented volume.
Which types of attacks should organizations prioritize defending against?
The research highlights several high-impact risks: credential stuffing, fake account creation, generative-AI-enabled threats, MFA compromise, and loyalty fraud. These attack types target high-value apps and services, often affecting revenue directly.
How are leading organizations responding to AI-enabled threats?
Security teams are adopting AI-resistant user challenges, deploying real-time identification of phishing and reverse proxy sites, and detecting attempts to conceal origin or impersonate trusted users. These best practices form the foundation of modern AI-aware defense strategies.
