Arkose Labs Report Reveals New Cybercriminal Tactics with AI

Data Compares Q1 and Q2 and Finds Malicious Traffic Surges Nearly 20% Amid Rising Cyber Threats

Arkose Labs, the main fraud prevention, gadget ID and bot administration firm, has printed “Enterprises Under Attack: Quarterly Threat Actor Patterns,” a brand new report launched highlighting the intensifying ways of cybercriminals throughout a number of industries. This deep-dive evaluation offers safety leaders with granular intelligence on how, when and the place assaults originate and the way they differ between sectors.

This report exposes how cybercriminals function, from assault timing to evolving toolkits, whereas mapping the rise of worldwide fraud hubs like Brazil, Vietnam and Nigeria. It additionally offers insights into site visitors patterns and operational methods of cybercriminals together with assault timing, most popular geographies and evolving toolkits.

“The explosive surge in malicious site visitors is a transparent sign that attackers are scaling operations sooner than ever earlier than,” mentioned Frank Teruel, Chief Operating Officer of Arkose Labs. “As cybercriminals undertake the most recent automation and AI instruments, organizations should evolve simply as quickly to remain forward. These numbers remind us that proactive, intelligence-driven defenses aren’t only a finest observe, they’re a necessity.”

The Big Picture: Cybercrime by the Numbers

Malicious site visitors surged practically 20% from Q1 to Q2 2025 as cybercriminals intensified their efforts throughout industries. Attackers are quickly adopting new ways, the usage of assault automation providers rose from 31% to 36% of all assaults in only one quarter, making complicated, orchestrated threats way more accessible. Average assault measurement grew by over 12%, demonstrating that not solely are there extra assaults, however they’re additionally turning into bigger and extra aggressive in scale.

Account creation and sign-in processes stay the first battlegrounds, with three-quarters of scams now concentrating on these crucial workflows. Attackers are migrating from primary bots to superior AI-powered automation, elevating the bar for defenders. Despite notable development in mobile-related threats in some sectors, desktop stays the favored channel for malicious exercise, accounting for 68% of assault site visitors.

Cross-Industry Trends and Global Fraud Patterns

• Fraud hubs are concentrated in Brazil (over 11%), Great Britain (practically 10%) and Vietnam (over 6%) – excluding U.S. site visitors, which regularly masks true origins.
• Fraud rings function in shifts: night assault peaks in Pakistan (65%) and the Philippines (43%), in a single day surges in Vietnam (38%), Mexico (38%) and India (36%).
• Chrome is the browser of selection, with persistent desktop dominance.

Industry Highlights: Adapting to Unique Threats

Dating platforms confronted a dramatic transformation, with a 61% surge in cellular assaults whereas desktop-based threats declined by 16%. This shift flipped the gadget distribution from 55% desktop to simply 39%. Nigeria contributed 9% of all non-U.S. assaults, underscoring the prevalence of refined romance rip-off infrastructure in West Africa.

Fintech skilled an distinctive escalation, as sign-up fraud site visitors surged to 17 occasions the business common. The risk panorama was additional amplified by Great Britain, which was accountable for 44% of assaults concentrating on the sector.

Gaming was not proof against risk intensification, with fee programs more and more focused. Attack automation providers turned extra prevalent, rising from 15% to 25% of all gaming-related assaults, whereas the Roblox browser accounted for 18% of assaults, demonstrating a platform-specific vulnerability.

Full Report Details

The full report, accessible now, gives in-depth evaluation of 9 industries, sector-specific assault patterns and sensible suggestions to show risk knowledge into actionable safety outcomes. For entry to the total report, please go to this web page.

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