Adaptive Data Inspection System for Dynamic Cybersecurity

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing data security tools are insufficient and limited in their capabilities and effectiveness, struggling to adapt to the increasing frequency and sophistication of cyber-attacks, and lack integration, leading to complex and costly management of data protection across modern computing networks.

Innovation Solution

A data inspection system and method that employs an Adaptive Data Protection (ADP) analytics engine and accelerator server computing devices for dynamic, policy-based management, continuously monitoring and adapting security measures through an inspection work queue, inspection class policies, and machine learning training data to apply appropriate cyber-security technologies and operations across the data lifecycle.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing data security tools are used, then data protection is provided, but the tools are insufficient and limited in capabilities and effectiveness against sophisticated cyber-attacks

Engineering Contradiction:
Improvedata protection effectivenessVSAvoidadaptability to cyber-attacks
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic security inspection by continuously monitoring data objects throughout their lifecycle and adapting inspection policies based on changing conditions. The system transitions from static security tools to dynamic inspection that adjusts its behavior based on real-time threat detection, data sensitivity changes, and lifecycle stage variations.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes security inspection parameters dynamically based on data object properties, threat levels, and lifecycle stages. Different inspection policies are applied to different data objects based on their sensitivity, type, and current state, allowing the system to adapt its protective measures without a one-size-fits-all approach.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If comprehensive data protection is implemented, then security coverage is improved, but operational complexity and costs increase

Engineering Contradiction:
Improvesecurity coverageVSAvoidoperational complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments data protection into discrete inspection operations that can be independently managed and executed. Each data object can have its own inspection policy, and the system divides comprehensive security into manageable inspection tasks that are processed through a work queue system, reducing operational complexity while maintaining coverage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The inspection system serves multiple functions through a unified platform: it monitors data objects, executes inspection policies, manages work queues, and adapts to changing conditions. This multi-functional approach consolidates what would otherwise require multiple separate security tools and processes, reducing operational complexity while maintaining comprehensive coverage.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Difficulty of detecting and measuring

If continuous monitoring of data objects is performed, then security detection capability is improved, but system resource consumption increases

Engineering Contradiction:
Improvesecurity detection capabilityVSAvoidsystem resource consumption
Core Design Contradiction:
Difficulty of detecting and measuringVSUse of energy by moving object

Solution Approach 1:

The system implements periodic inspection of data objects rather than continuous monitoring, scheduling inspections based on data lifecycle events and threat levels. The inspection work queue system processes monitoring tasks in periodic batches, allowing the system to maintain detection capability while conserving resources by not continuously analyzing all data objects at maximum intensity.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS12088612B2Data inspection system and method
Publication Date: 2024.09.10 COBALT IRON
  • US12088612B2 patent drawing
  • US12088612B2 patent drawing
  • US12088612B2 patent drawing

AI summary

A system continuously stores, as machine learning data, metadata results associated with a previous cyber-attack, a previous inspection class policy definition at a time of the previous cyber-attack, and a result of a previous data protection operation taken upon indication of the previous cyber-attack; continuously monitors for a new security condition or event; detects the new security condition or event; determines an appropriate inspection class policy from a plurality of inspection class policies based on the new security condition or event; based on the determined inspection class policy and the machine learning training data, determines a specific class of inspection tool from a plurality of classes of inspection tools or a specific level of inspection from a plurality of different levels of inspection for the new security condition or event; and executes the specific class of inspection tool or the specific level of inspection using the specific class of inspection tool on a particular data object to be inspected.