UnfoldIPThemes

Company patents

Armis Security Ltd.

Armis Security Ltd. demonstrates a strong and sustained focus on Network Security & Access Control, which constitutes 77.8% of its total patent portfolio, with significant growth in 2024 (+140.0% YoY) and 2025 (+25.0% YoY). While Machine Learning & AI represents a substantial 40.0% of the portfolio, its patenting activity has shown volatility, with a notable decline so far in 2026 (-85.7% YoY), suggesting a potential shift in the application of AI within their core security offerings rather than a complete de-emphasis.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

45 US filings (since 2023) · 12 categories · 6 themes

Network Intrusion Detection

Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.

Network Security & Access Control
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21since 2023
+50.0%YoY
Real-time Anomaly Detection

Methods and systems that identify unusual or suspicious patterns in data streams, often leveraging machine learning models trained on normal behavior, to detect threats, faults, or significant events as they occur.

Pattern Recognition & ML Models
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16since 2023
+40.0%YoY
AI/ML for Cryptographic Security

Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.

Computer Security
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10since 2023
+66.7%YoY
Access Control & Identity Management

Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.

Network Security & Access ControlWeb & Cloud Service Protocols
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3since 2023
-50.0%YoY
Operational Technology (OT) Security

Specialized cybersecurity solutions designed to protect industrial control systems (ICS), SCADA networks, and other operational technology environments from cyber threats and unauthorized access.

Computer Security
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2since 2023
new
MLOps & Model Deployment

Systems and methods for automating the lifecycle of machine learning models, including pipeline deployment, model management, versioning, and configuring for different inference environments.

Machine Learning & AI
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1since 2023
n/a

Patents

Showing 61-63 of 63

Page 7 of 7
US 11102082 B1GRANTED
H04L29/06

System and method for inferring operating systems using transmission control protocol fingerprints

Filed:2020-07-13Pub:2021-08-24
Applicant:Armis Security Ltd.

A system and method for inferring device operating systems. A method includes applying a sequence-based model to an option-types sequence in order to output a plurality of first features, wherein each of the first features is a value representing a probability that the options-type sequence is associated with a respective operating system; applying a distribution dissimilarity model to metadata field distribution data extracted from the headers of the packets sent by the device in order to output a plurality of second features, wherein the plurality of second features includes a plurality of distances, wherein each distance is based on a difference between a distribution of values of each metadata field indicated in the metadata field distribution data; and applying an operating system inference model to the plurality of first features and the plurality of second features in order to output an inferred operating system for the device.

US 20210203575 A1APPLICATION
H04L12/26

SYSTEM AND METHOD FOR DETERMINING DEVICE ATTRIBUTES USING A CLASSIFIER HIERARCHY

Filed:2019-12-30Pub:2021-07-01
Applicant:Armis Security Ltd.

A system and method for determining device attributes using a classifier hierarchy. The method includes: sequentially applying a plurality of sub-models of a hierarchy to a plurality of features extracted from device activity data, wherein the sequential application ends with applying a last sub-model of the plurality of sub-models, wherein each sub-model includes a plurality of classifiers, wherein each sub-model outputs a class when applied to at least a portion of the plurality of features, wherein each class is a classifier output representing a device attribute, wherein applying the plurality of sub-models further comprises iteratively determining a next sub-model to apply based on the class output by a most recently applied sub-model and the hierarchy; and determining a device attribute based on the class output by the last sub-model.

US 20210185058 A1APPLICATION
H04L29/06

TECHNIQUES FOR RESOLVING CONTRADICTORY DEVICE PROFILING DATA

Filed:2019-12-16Pub:2021-06-17
Applicant:Armis Security Ltd.

A system and method for resolving contradictory device profiling data. The method includes: determining a set of non-contradicting values and a set of contradicting values in device profiling data related to a device based on a plurality of conflict rules; merging values of the set of non-contradicting values in device profiling data into at least one first value; selecting at least one second value from the set of contradicting values, wherein selecting one of the at least one second value from each set of contradicting values further includes generating a certainty score corresponding to each value of the set of contradicting values, wherein each certainty score indicates a likelihood that the corresponding value is accurate, wherein the at least one second value is selected based on the certainty scores; and creating a device profile based on the at least one first value and the at least one second value.

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