Cybersecurity

Stryker Corp Amends Cybersecurity Disclosure Under Item 1.05

Stryker Corp filed an amended Form 8-K with the SEC under Item 1.05 (Cybersecurity Incident Disclosure) to update a prior cybersecurity disclosure. The filing amends a previously submitted disclosure related to a cybersecurity matter at the company's Portage, MI operations. Public companies are required to disclose material cybersecurity incidents on Form 8-K Item 1.05 within four business days of determining materiality.

Verifiable Cryptographic Obfuscation Patent Using Physically Unclonable Function

The USPTO published patent application US20260100854A1 for Vipin Singh Sehrawat's verifiable cryptographic obfuscation system using physically unclonable functions (PUFs). The patent covers methods for generating error vectors via PUF circuits to enable LPN encryption verification of PRG outputs using Hamming distance analysis.

Verifiable Cryptographic Obfuscation Methods Using PUF and LPN Encryption

The USPTO published patent application US20260100853A1 for verifiable cryptographic obfuscation methods using physically unclonable functions (PUF) and Learning Parity with Noise (LPN) encryption. The invention covers systems that verify obfuscation integrity by comparing corrected and corrupted PRG outputs via Hamming distance analysis. Technology companies and patent professionals should review for prior art and licensing implications.

Zero Trust Hash Validation for DePIN Networks

Zero Trust Hash Validation for DePIN Networks

Secure Passkey Enrollment Using Digital Wallet Credentials

Secure Passkey Enrollment Via Digital Wallet Credentials

Two-Fold Digital Credential Verification and Signing Methods

USPTO published patent application US20260100851A1 disclosing methods and systems for issuing certificate-type digital credentials and electronically signing documents. The invention requires two-fold verification comprising credential validity checks (proof, expiration, revocation) plus verification that a trusted issuer exists within a parent-child relationship. Both credential types can be organized in a digital identity hierarchy using distributed ledger technology.

Machine Learning Predicts Gene Sequence Effects on Endophenotypes

USPTO published patent application US20260100241A1 by Inari Agriculture Technology, Inc. describing a machine-learning method for predicting how gene regulatory sequences affect endophenotypes. The method involves inputting gene regulatory sequences into a trained model to generate effect predictions and selecting sequences based on desired phenotypic profiles.

Bank of America AI Parameter Adjustment in Distributed Network Patent Application

USPTO published Bank of America Corporation's patent application for AI parameter adjustment systems in a distributed network. The application describes methods for analyzing user data with AI engines, generating reports based on defined parameters, and regenerating outputs based on user feedback. Filing date was October 9, 2024.

Human-in-the-Loop AI Training for Agentic Automation Patent Application

USPTO published patent application US20260099135A1 by UiPath, Inc. covering human-in-the-loop automation training using AI for agentic automation systems. The invention enables a listener to monitor user or AI agent interactions with computing systems and improve or personalize automation based on those interactions.

LLM Unlearning via Loss Adjustments - Accenture Global Solutions

USPTO published patent application US20260099772A1 by Accenture Global Solutions Limited disclosing a system and method for large language model unlearning via a forget data only loss adjustment (FLAT) function. The invention involves accessing forget data samples, associating template responses via LLMs, and training a target LLM using loss adjustments to maximize divergence between template and forget answers.