Company patents

IRDETO B.V.

IRDETO B.V. appears to be shifting its patent focus, with a notable decline in its core Computer Security category, which still represents 41.7% of its portfolio but saw a 42.9% drop in 2025 and a 50.0% drop so far in 2026. This contrasts with a surprising, albeit small, emergence in Vehicle Body Fittings, which saw 2 patents in 2025 after no activity in prior years, suggesting a potential diversification into the automotive sector.

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.

48 US filings (since 2023) · 12 categories · 17 themes

Granular Data Encryption & Access Control

Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.

Cryptographic Mechanisms
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11since 2023
+66.7%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 SecurityCryptographic Mechanisms
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10since 2023
-42.9%YoY
Hardware-Assisted Cryptographic Operations

Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.

Cryptographic Mechanisms
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9since 2023
+50.0%YoY
Remote Software/Firmware Updates

Systems and methods for securely and reliably delivering, installing, and managing software or firmware updates to distributed or embedded devices, often considering network conditions, resource constraints, or storage repartitioning.

Software Development & Compilers
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8since 2023
+50.0%YoY
Secure Data Storage & Provenance

Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.

Computer Security
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6since 2023
+100.0%YoY
AI for Medical Diagnostics

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Machine Learning & AIComputer Vision
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3since 2023
+100.0%YoY
Smart Vehicle Access & Entry Aids

Technologies that enable automated or mobile device-controlled access to a vehicle, including keyless entry, remote functions, and power-assisted steps or pedals designed to facilitate easier ingress and egress.

Vehicle Body Fittings
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2since 2023
new
Homomorphic Encryption Acceleration

Techniques for improving the performance, efficiency, or practicality of fully homomorphic encryption (FHE) schemes, often involving hardware accelerators or optimized algorithms for operations like bootstrapping and key-switching.

Cryptographic Mechanisms
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2since 2023
n/a
Secure Key Management & Rotation

Methods and systems for generating, distributing, updating, rotating, and securely destroying cryptographic keys to maintain data confidentiality and integrity over time, including quantum key distribution.

Cryptographic Mechanisms
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2since 2023
n/a
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 Control
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2since 2023
n/a
Smart Access Control Systemsfiltered

Systems that manage and enforce entry or usage privileges using digital credentials, biometric identification, or remote control, often incorporating network connectivity and real-time status updates.

Time / Attendance / Access Control
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2since 2023
n/a
Video Quality & Encoding Optimization

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Computer Vision
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1since 2023
new
Specialized Neural Network Architectures

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Computer Vision
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1since 2023
new
Federated & Distributed ML

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Machine Learning & AI
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1since 2023
n/a
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
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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1since 2023
n/a
Data Resiliency & Recovery

Encompasses strategies and technologies to ensure the availability, integrity, and recoverability of data and systems, including robust backup, replication, error correction, and efficient data restoration.

System Reliability & Diagnostics
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1since 2023
n/a

Patents

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US 11403381 B2GRANTED
G06F21/31

Biometric authentication

Filed:2020-05-28Pub:2022-08-02
Applicant:IRDETO B.V.

A method of performing biometric authentication for a first user, the method comprising: performing one or more first tests, wherein for each first test, performing said first test comprises: obtaining a respective first input for said first test based on one or more biometric characteristics of the first user; determining that the first user is not a predetermined user when a respective first log-likelihood ratio for a first likelihood and a second likelihood does not exceed a respective first threshold for said first test, wherein the first likelihood is a likelihood of obtaining the respective first input based on a first model in which input is obtained from the predetermined user, and wherein the second likelihood is a likelihood of obtaining the respective first input based on a second model in which input is obtained from one or more users other than the predetermined user; determining that the first user is the predetermined user when the respective first log-likelihood ratio exceeds a respective second threshold for said first test, the respective second threshold greater than the respective first threshold; and when the respective first log-likelihood ratio exceeds the respective first threshold and the respective first log-likelihood ratio does not exceed the respective second threshold, either (a) determining to perform a further first test when a number of times that the first test has been performed is less than a predetermined maximum number of times or (b) determining to perform a second test when the number of times that the first test has been performed equals the predetermined maximum number of times; wherein performing the second test comprises: obtaining a second input for the second test based on the one or more biometric characteristics of the first user; and determining that the first user is the predetermined user when a second log-likelihood ratio for a third likelihood and a fourth likelihood exceeds a third threshold, wherein the third likelihood is a likelihood of receiving the respective second input based on the first model, and wherein the fourth likelihood is a likelihood of receiving the second input based on the second model; determining that the first user is not the predetermined user when the second log-likelihood ratio does not exceed the third threshold.