Spam Fraud and Bot Detection Patents: Who Leads, Trends 2026
Spam, Fraud and Bot Detection Patents: Filing Trends and the Ranked Leaders
313 records from the top five filers, just 16.6% of all 1,883 records in scope — concentration is real but a long tail still files most of the field. Filings ran from 81 in 2017 to a partial 72 in 2026. The complete-year growth signal is the 2021-to-2024 span, up 17% from 149 to 174 records; 2025's count of 242 is the current peak but, like 2026, will still be revised upward as later publications land — publication lags filing by roughly 18 months, so neither year should be read as a plateau or a drop.
- 1SOCURE INC4.5%
- 2FORCEPOINT LLC3.6%
- 3AMAZON TECH INC3.1%
- 4DATAROBOT INC3.0%
- 5VISA INTERNATIONAL SERVICE ASSOCIATION2.5%
See the full spam fraud and bot detection analysis in Eureka
- The complete ranking, not just the top five
- Every IPC branch with its share of the corpus
- The most-cited records, and where claim space is still thin
Common questions about this landscape
Who holds the most patents in fraud and bot detection?
Within this 1,883-record corpus, the leading assignee holds 84 records, with the top five combined accounting for 313 records, or 16.6% of all records in scope. That leaves the large majority of filing spread across a long tail of other assignees, so no single company controls the field outright. The ranked list spans payments processors, identity-verification specialists and large cloud and enterprise software firms rather than being dominated by one sector.
Is patent filing in fraud and bot detection growing or slowing down?
Filings grew 17% from 149 records in 2021 to 174 in 2024, the most recent span that can be treated as a complete-year comparison. Counts for 2025 and 2026 appear lower or higher in raw form, but publication typically lags actual filing by around 18 months, so those years are still filling in and should not be read as a slowdown or a definitive peak. The safest read is steady growth through 2024, with 2025-2026 numbers still provisional.
What patent classes cover bot and fraud detection technology?
The dominant classes are G06F (electric digital data processing, 47.7% of records) and G06Q (business and commerce data processing, 42.3%), reflecting that most claims are written around transaction handling and decision logic. G06N (AI-based computing, 36.4%) and H04L (digital information transmission, 34.7%) are also heavily represented, showing how central machine-learning models and network signaling are to detection claims. Device- and media-level classes such as G06V (image/video recognition) and H04M (telephony) appear far less often, each under 6% of records.
Disclaimer. This analysis is based on Patsnap Eureka data drawn from a limited snapshot of global patent records and is provided for general information and reference only. Patent data carries inherent limitations — recent filings are under-counted because of publication lag, counts may be on a record or family basis, classification and applicant-name data may contain errors or duplicates, and the underlying search query defines the scope shown — so the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing here is an exhaustive prior-art, novelty, freedom-to-operate or validity search, nor does it constitute legal, financial or professional advice, and it should not be relied upon as such. Verify independently and review with qualified patent and legal professionals before acting on it.
Method: Filing trend and technology composition. Derived from a Patsnap search on Spam Fraud and Bot Detection covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish. Every share divides by all records in scope. Data: Patsnap Eureka. See the full landscape report.