Zero Trust Access Architecture Patents: Leaders & Trends 2026
- 42.9% concentration. The top five assignees combined hold 285 of 664 records in scope — a field where a handful of filers have staked out policy decision and enforcement point claims early.
- +143% filing growth. Filings rose from 44 in 2021 to 107 in 2024, the most recent complete year, before publication lag makes 2025-26 look artificially light.
- H04L dominates at 74.4%. Digital information transmission claims cover three-quarters of the 664 records, while AI-based computing (G06N) sits at just 1.8% — a narrow footprint given how often context-aware policy engines are discussed.
Filing growth compares 2021 (44 records) with 2024 (107) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 664 records in scope (CR5), not by the ranked leaders only.
What the zero trust access architecture patent record shows
Zero trust access architecture patents cluster around two functional roles defined in the search scope itself: the policy decision point that evaluates context and risk, and the policy enforcement point that acts on that decision at the session or connection level. The 664 records in scope span 2015 through the 2026 data cut-off, and the claim language repeatedly ties access control to device posture, session reevaluation and least-privilege token issuance rather than to a single perimeter check.
Filing activity was modest through the late 2010s and accelerated sharply from 2021 onward, tracking the broader enterprise shift away from VPN-based perimeter security. Because publication typically lags filing by around 18 months, the apparent tail-off in 2025 and 2026 reflects incomplete disclosure rather than a real slowdown in filing.
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Filing trend and technology composition
Two views of the same 664-record dataset: how filing volume moved year over year, and which IPC subclasses the claims actually sit in.
Filing trend, 2017-2026
Annual filings climbed from 12 in 2017 to a peak of 107 in 2024, with the three-year run from 2021 (44) to 2024 (107) marking a 143% increase. 2025 and 2026 figures are still filling in as publication catches up with filing.
IPC technology composition
H04L (digital information transmission) appears in 74.4% of the 664 records and G06F (electric digital data processing) in 33.9%, confirming that most claims are written as network-transmission or data-processing mechanisms rather than as business methods or AI models. Records can carry multiple IPC classes, so these shares sum to well over 100%.
Shares are the percentage of the 664 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Zero Trust Access Architecture with Eureka
This page is one run against one query. Ask Eureka your own question about zero trust access architecture and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative and most-cited filings
US8452872B2 — Method, apparatus and computer program for enforcing policy across associated sessions
A server acting as a policy decision point maintains, per user, a total usage quota and a set of registered connection identifiers. A request handler receives, from a policy enforcement point, a request to allocate quota for a packet session tied to a specific connection identifier; a quota determiner then sizes the allocation against the user's total quota and any other sessions already running.Filed by Telefonaktiebolaget L M Ericsson (Publ), granted 2013-05-28.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20110075675A1 | Providing services at a communication network edge | 728 |
| 2 | US20130298244A1 | Systems and methods for threat identification and remediation | 685 |
| 3 | US20130219176A1 | Secure Virtual File Management System | 442 |
| 4 | US20130298192A1 | Systems and methods for using reputation scores in network services and transactions to calculate security ri… | 439 |
| 5 | US20150269383A1 | Automated and adaptive model-driven security system and method for operating the same | 397 |
| 6 | US20130298243A1 | Systems and methods for orchestrating runtime operational integrity | 386 |
| 7 | US6621793B2 | Application influenced policy | 333 |
| 8 | US20020036983A1 | Application influenced policy | 325 |
| 9 | US20080046963A1 | System and method for implementing policy server based application interaction manager | 315 |
| 10 | US8144591B2 | System and method for reducing latency in call setup and teardown | 282 |
Citation counts inside this corpus favour older filings that have had more time to accumulate citations — read them as a signal of influence on later drafting, not as a measure of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing or freedom-to-operate decision
Three figures from the dataset carry direct implications for where new claims can still be written.
The top of the field is crowded, the rest is a long tail
With 285 of 664 records held by five assignees, session-level enforcement and quota-based policy decision claims are well-occupied. The ranked list of 100 companies shows a sharp drop-off after the leaders, meaning most participants hold only one or two families each.
Growth is real but recent years understate it further
The jump from 44 filings in 2021 to 107 in 2024 marks the field's fastest documented growth period. Because publication lags filing by roughly 18 months, 2025 and 2026 volumes will keep revising upward and should not be read as a plateau.
Context-aware policy engines are thinly claimed as AI
Despite frequent discussion of context-aware and adaptive policy evaluation, only 12 of 664 records fall under G06N. Most context-aware logic is instead claimed within H04L or G06F as conventional data-processing steps, leaving AI-framed claim language comparatively open.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to zero trust access architecture, with the prior art for and against each one.
Who holds the claims, and where the gaps sit
The ranked list returned by the data endpoint covers 100 companies, not a curated top-50 or top-100 — read it as the full set the search surfaces, with a steep drop from the leader to the rest.
One filer sits well ahead of the rest of the field
The leading assignee's 147 records dwarf the fifth-place count of 23, a gap that signals an early and sustained filing programme around policy decision and enforcement point architecture rather than opportunistic single filings.
The drop-off past the leader flattens quickly
By tenth place the count is down to 13 records, and the top 10 combined account for 54.7% of all 664 records. Below that line, filing activity thins into single-digit and single-filing entrants.
Latest-year activity has cooled among the biggest historical filers
Cisco shows flat year-on-year activity at 3 filings in the latest year, Zscaler shows a -96% YoY drop to 1 filing, and Sempre Inc holds steady at 1. Ericsson, Sophos and Qomplx show zero filings in the latest tracked year — consistent with publication lag rather than withdrawal from the space.
| Assignee | Recent year | YoY |
|---|---|---|
| Cisco Technology, Inc. | 3 | 0% |
| Zscaler, Inc. | 1 | -96% |
| SEMPRE INC | 1 | 0% |
| Telefonaktiebolaget LM Ericsson (Publ) | 0 | — |
| SOPHOS LTD | 0 | — |
| Qomplx, Inc. | 0 | — |
| LexisNexis Group | 0 | — |
| Huawei Technologies Co., Ltd. | 0 | — |
Where to take this analysis
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, portfolio strategy, or identifying open claim space.
Map claims against the leader's 147-record portfolio
Before drafting in session enforcement or quota-based policy decision logic, check overlap against the top-ranked assignee's filings specifically, since that portfolio accounts for a disproportionate share of the field.
Explore assignee portfolios in EurekaTest AI-framed policy claims against the thin G06N base
With only 1.8% of records classed under AI-based computing, claims that frame context-aware policy decisions as a trained or adaptive model face less prior art congestion than transmission-framed equivalents.
Run a white space search in EurekaWatch for the 2025-26 filing correction
Current-year counts will revise upward as publication catches up; re-run trend analysis on a rolling basis rather than treating the latest two years as a plateau.
Set up trend monitoring in EurekaCommon questions on zero trust access architecture patents
One assignee leads the ranked field with 147 records, well ahead of the fifth-place holder at 23 and the tenth-place holder at 13. The top five assignees combined account for 285 of the 664 records in scope, or 42.9% of the field, which means a small number of filers set much of the early direction on policy decision and enforcement point claims. Below the top 10, which together hold 54.7% of records, the field thins quickly into companies with only one or two filings each.
Yes: filings rose from 44 in 2021 to 107 in 2024, a 143% increase over three years and the fastest growth period documented in this dataset. The apparent drop in 2025 and 2026 is not a real slowdown — publication typically lags filing by around 18 months, so recent years are still incomplete and will revise upward as more filings publish. 2024 is the most recent year that can be treated as a complete data point.
H04L, digital information transmission, appears in 74.4% of the 664 records, making it by far the dominant classification, followed by G06F (electric digital data processing) at 33.9% and H04W (wireless communication networks) at 17.6%. Because a single record can carry several IPC classes, these shares add up to more than 100%. Notably, G06N (AI-based computing) covers only 1.8% of records, suggesting that context-aware and adaptive policy logic is mostly claimed as conventional data processing rather than as machine learning.
The clearest gap sits around AI-framed context-aware policy scoring, since only 12 of 664 records fall under G06N despite frequent discussion of adaptive risk evaluation in the field. Continuous session reevaluation triggers, device posture attestation protocols and least-privilege token lifecycle management are also comparatively thin relative to how central they are to zero trust design. These branches sit adjacent to the dense H04L and G06F claim territory rather than inside it, which is what makes them more open to new filings.
US8452872B2, assigned to Telefonaktiebolaget L M Ericsson (Publ) and granted in 2013, covers a server acting as a policy decision point that tracks a per-user total usage quota across multiple linked connection identifiers, and that responds to quota requests from a policy enforcement point by sizing an allocation against that total and any concurrent sessions. It is tightly scoped to quota-based session allocation tied to a specific connection identifier, so it constrains designs that gate access purely on aggregate usage quota rather than blocking policy decision point architectures generally. Filings built on device posture, risk scoring or context signals rather than usage quotas sit outside its core claim language, though a full freedom-to-operate review should check dependent claims individually.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.