Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →15 families cover firewall rule optimization with ML; 57 filers listed, none ahead of the rest, in this starting-point patent search.
15 published records collapse into 15 simple (DOCDB) families; the difference is the same invention filed in more than one country.
This page is built from a single search string combining firewall rule or policy language with machine learning or neural network language and an optimisation term. It returns 15 published records across 15 simple patent families, with no date limit applied, so the result set reflects every matching document the string finds rather than a defined filing window. Receiving-office data shows where these applications were filed, not where any filer is based.
With only 15 families in scope, this is a small pool: a single filing or filer row can shift any percentage on this page noticeably. Treat the figures here as a starting point for a deeper search rather than a complete map of the field.
Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. Filings held by named individuals rather than organisations are removed where they can be identified (10 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 56 filers returned for this search; the data endpoint returns at most 100 entities, so even that 56 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.
The figures below come from 15 published records and 15 simple patent families returned by the search string, with the technology split and receiving-office counts drawn from the same result set.
Published records run from 3 in 2024 to 10 in 2026, the peak year so far. The window from 2022 onward is still filling in because publication of a filing can lag by up to 30 months, so these recent years understate their eventual counts.
Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two.
G06N (computing based on AI models) and H04L (digital information transmission) each appear on 13 of the 15 simple patent families (86.7%), and G06F (electric digital data processing) appears on 7 (46.7%). Because a family can carry more than one class, these shares add up to more than 100%.
Shares are the percentage of the 15 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about cloud network firewall rule optimization using machine learning patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaAn artificial intelligence-driven system and method for validating network rule changes ensures security compliance, mitigates risks, and prevents misconfigurations. The system receives proposed rule changes, validates format and structure, and simulates rule interactions within an existing security configuration. A conflict detection module identifies misconfigurations, while a threat intelligence module retrieves real-time threat data. A risk assessment module extracts risk factors, and an artificial intelligence model computes a risk score to determine automatic approval, rejection, or manual review.This is the first record returned under the database's default ordering, not the most cited or broadest filing in the set. What its granted claims actually require has to be read from the claim set itself, an abstract and a family count cannot establish claim scope.


Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three figures worth checking before drawing any conclusion from this pool of 15 families.
DR SABYASACHI PRAMANIK is named on 1 of the 15 simple patent families (6.7%), and 56 of the 56 listed filers hold 2 or fewer families each. Filer rows overlap because one family can name several filers, so these rows cannot be summed into a combined share.
G06N (computing based on AI models) and H04L (digital information transmission) each appear on 13 of the 15 families (86.7%); G06F (electric digital data processing) appears on 7 (46.7%). Because a family can carry multiple IPC classes, these shares add to more than 100% and describe classification overlap, not sub-field size.
Published records were filed at 3 receiving offices: India (10), China (3), United States (2). This reflects where applications were filed, not where any filer is based, the dataset carries no nationality or country information for filers.
Published records by earliest filing year run from 3 in 2024 to 10 in 2026. The window from 2022 onward is still filling in due to publication lag of up to 30 months, so these counts understate their eventual totals and should not be read as a trend.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to cloud network firewall rule optimization using machine learning patent landscape, with the prior art for and against each one.
This page surfaces one search string's worth of results. Narrowing, broadening or cross-checking the terms is the next step for any serious review.
A result set this small is sensitive to wording. Rerunning the search with synonyms for firewall policy, rule management or network configuration may surface filings this exact string misses.
Open Eureka to rerun this searchFilings held by named individuals sit inside the totals here but not in the organisation-only filer list. Pulling those records separately gives a fuller picture of who is filing.
Explore filer records in EurekaAbstracts describe what a filing discusses, not what its claims cover. Any freedom-to-operate question needs the granted claim set, not a count or a summary.
Pull full claim sets in EurekaThe search string used for this page returns 15 published records and 15 simple patent families, with no date limit applied, so this covers every matching document the string finds rather than a fixed year range. The string requires firewall rule or policy language, machine learning or neural network language, and an optimisation term to all appear together, so documents that describe the same idea with different wording will not be captured. Because the pool is only 15 families, any single document or filer row can move the percentages noticeably, so treat the figures as a starting point for further search rather than a complete map.
57 filers are returned by this search, counted in simple patent families, and the table on the page shows only the top 30 of them. Filer rows are not rolled up to corporate group and cannot be added together into a combined share, because one family can name several filers and the listed rows already exceed the total family count.
The technology composition is read from IPC subclasses attached to the 15 simple patent families in scope. G06N (computing based on AI models) and H04L (digital information transmission) each appear on 13 of the 15 families (86.7%), and G06F (electric digital data processing) appears on 7 (46.7%). Because a single family can carry several IPC classes, these shares add up to more than 100%, and they describe which classification codes were attached, not the relative size of any technical sub-field.
The receiving-office data, counted in published records rather than families, shows 10 records filed at the India office, 3 at China, and 2 at the United States, for a total of 3 offices across the 15 records. This tells you where the applications were filed, not where any filer is based, since this dataset carries no nationality or country-of-origin information about any filer. A single invention can appear at more than one office if it was filed in multiple jurisdictions, so these counts sum against the record total, not the family total.
The filing trend counts published records by earliest filing year, running from 3 in 2024 to 10 in 2026, the peak so far, but the years from 2022 onward are still filling in because publication can lag the original filing by up to 30 months. This means the most recent years understate their eventual totals and should not be read as a decline or a plateau. The series also counts documents rather than de-duplicated inventions, so a single invention filed in multiple countries adds multiple marks to the same year.
Go past this page: query the whole cloud network firewall rule optimization using machine learning patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:
TAC:(("firewall rule" OR "firewall policy") AND ("machine learning" OR "neural network") AND optimiz*)
Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. One subclass (G06N) carries 86.7% of the patent families, so this search returned a classification-tight set.
What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 15 records and 15 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.
Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (10 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 56 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 56 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included
Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-26.
Legal status. Legal status was not available for this search, so no in-force figure is shown. Get the status breakdown in Eureka
Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level
Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.
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 limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. 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, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records 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.
The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.
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.
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