Stop mass-account abuse by adding adaptive transaction-level friction

Stop mass-account abuse by adding adaptive transaction-level friction targets a $6.0B = 300,000 online platforms × $20K ACV (global bot & fraud mitigation market addressing mid-market and enterprise needs) total addressable market with medium saturation and a year-over-year growth rate of 12% YoY (fraud & bot mitigation market growth estimates from industry reports, 2022-2026).

Key trends driving demand: Privacy-driven signal loss — browser privacy changes and cookie restrictions reduce the usefulness of traditional fingerprinting, increasing demand for transaction-level and aggregated telemetry.; Shift to API-first security — developers prefer SDKs and APIs that integrate in days, creating an opening for developer-friendly anti-abuse products.; Rising automated attacks — cheap cloud compute and botnets make mass signup and credential-stuffing attacks more common, increasing demand for specialized defenses.; Edge and ML-enabled defenses — low-latency edge services and on-device/edge inference allow adaptive friction without degrading legitimate user experience.; SMB focus — large bot-management vendors target enterprise customers, leaving SMBs and mid-market businesses underserved and price-sensitive..