Webpage Rendering Telemetry for Automated Anomaly Detection

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Solution Overview

Problem

Existing cybersecurity systems struggle to accurately and efficiently identify webpage anomalies and cybersecurity threats without unduly burdening electronic communications and systems.

Innovation Solution

A system utilizing webpage rendering telemetry, including a cybersecurity analyzer sandbox, collects webpage telemetry data, applies it to a webpage anomaly detection model, and generates a cybersecurity score to assess the likelihood of threats, with optional blockchain-based smart contracts and firewall rule engines for decision-making.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional cybersecurity systems manually analyze electronic communications, then detection accuracy may be maintained, but system efficiency and speed of threat identification deteriorate

Engineering Contradiction:

Improvespeed of threat identificationVSAvoidmanual analysis requirement

Core Design Contradiction:

ProductivityVSExtent of automation

Solution Approach 1:

The system creates a virtual copy of the webpage by rendering it in a sandboxed environment, allowing analysis of the webpage's behavior and characteristics without affecting the actual website or user experience. This copy enables automated security assessment while maintaining the original webpage's functionality.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces manual cybersecurity analysis with an automated system that uses machine learning models to detect anomalies. The system automatically renders webpages, collects telemetry data, compares it against baseline data, and generates security scores without human intervention, thereby increasing productivity and reducing manual labor.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If comprehensive webpage analysis is performed to improve detection accuracy, then cybersecurity identification accuracy improves, but computing resources and system burden increase

Engineering Contradiction:

Improvecybersecurity threat detection accuracyVSAvoidcomputing resources consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system focuses analysis on specific local characteristics of the webpage such as rendering time, resource usage, and behavioral patterns rather than analyzing every aspect comprehensively. By targeting specific measurable attributes, the system achieves adequate detection accuracy without excessive computational resource consumption.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The system pre-establishes baseline data representing normal webpage behavior patterns before actual security assessment. This preliminary action allows the system to quickly compare new webpages against established norms using machine learning models, achieving accurate threat detection without requiring extensive real-time analysis resources.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12615235B2Systems, methods, and apparatuses for improving cybersecurity by using webpage rendering telemetry to detect webpage anomalies

Publication Date: 2026.04.28 BANK OF AMERICA CORP

AI summary

Systems, computer program products, and methods are described herein for improving cybersecurity by using webpage rendering telemetry to detect webpage anomalies. The present invention is configured to identify at least one electronic communication, wherein the at least one electronic communication comprises at least one electronic link; route the at least one electronic communication to a cybersecurity analyzer sandbox; construct, by a cybersecurity analyzer sandbox, a webpage rendering based on the at least one electronic link; collect, by the cybersecurity analyzer sandbox, at least one webpage telemetry data; collect, by the cybersecurity analyzer sandbox, at least one webpage rendering type data; identify at least one baseline webpage rendering; apply at least one of the at least one webpage telemetry data or the at least one webpage rendering type data and the at least one baseline webpage rendering to a webpage anomaly detection model; and generate a cybersecurity score.