2026 State of AI Traffic In Financial Services

97% of US financial services organizations claim to be prepared for traffic that interacts with systems without opening a traditional browser.

95% of US financial services organizations report an increase in automated traffic interacting with their web properties and APIs over the past 12 months.

43% of US financial services organizations verify traffic through authorized IP ranges or DNS in real time.

40% of financial organizations primarily fear that if they inadvertently block a legitimate consumer AI assistant, their users could switch to a competitor that allows AI tools.

46% of financial organizations say upgrading application security to support edge-deployed, no-JavaScript identification is a critical or high-priority project planned or funded for the next 6 to 12 months.

79% of US financial services organizations have detected a malicious bot or scraper bypassing a perimeter defense by spoofing a legitimate AI assistant or search crawler identity.

53% of US financial services organizations rely on significant manual oversight and custom rules to handle traffic that interacts without a traditional browser.

45% of US financial services organizations detect spoofed AI traffic and successfully mitigate it in real time.

26% of US financial services organizations have full visibility into automated traffic that bypasses client-side JavaScript detection.

61% of US financial services organizations still rely on client-side JavaScript tags or native SDKs for automated traffic and bot detection.

70% of US financial services organizations say they cannot guarantee consumer data privacy compliance if they cannot verify automated traffic at the HTTP level.

32% of financial organizations rank real-time IP-range and DNS verification for AI provider networks as the top priority for next year.

95% of US financial services organizations say they are confident in their ability to distinguish genuine AI assistants from spoofed traffic.