Adaptive Data Inspection System for Dynamic Security
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Solution Overview
Problem
Existing data security tools are insufficient and limited in their capabilities and effectiveness, making it challenging to protect data from cyber-attacks and ransomware, especially in large and complex corporate networks, due to financial pressures and operational complexities, with a lack of integration, granular policy-based management, and adaptability to changing threats.
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, using inspection class policies to orchestrate various cyber-security technologies and operations, and leveraging machine learning for improved threat detection and response.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing data security tools are used, then data protection is provided, but the tools are insufficient and limited in their capabilities and effectiveness
Solution Approach 1:
The system implements dynamic security inspection by continuously monitoring data objects throughout their lifecycle and adapting inspection policies based on changing conditions and events. The inspection director dynamically determines which inspection tools and policies to apply based on real-time data object states, rather than using static security measures.
Solution Approach 2:
The system changes security inspection parameters by adjusting the level and type of inspection applied to different data objects based on their lifecycle stage, sensitivity, and associated events. Inspection policies are modified dynamically based on conditions such as data classification, user actions, and detected threats.
2Reliability
If comprehensive security inspection is performed on all data objects, then security coverage is improved, but system complexity and operational overhead increase
Solution Approach 1:
The system applies different levels and types of security inspection to different data objects based on their specific characteristics, sensitivity classifications, and associated risks. Rather than uniform inspection of all data, the system tailors inspection intensity and methodology to each data object's local requirements.
Solution Approach 2:
The security inspection system is segmented into multiple independent inspection tools and policies that can be selectively applied. The inspection director divides the inspection task by selecting appropriate inspection tools from a suite of available options based on the specific data object and context.
3Reliability
If security inspection policies are applied at all data lifecycle stages, then security resilience is improved, but processing time and resource consumption increase
Solution Approach 1:
The system implements periodic security inspection at specific data lifecycle stages rather than continuous inspection. Inspection events are triggered at key moments such as data creation, modification, access, and archiving, providing comprehensive coverage while minimizing unnecessary processing time.
Solution Approach 2:
The system performs preliminary security inspections at early data lifecycle stages to identify and address potential issues before they propagate. By conducting initial inspections and applying security measures proactively, the system reduces the need for extensive re-inspection later in the data lifecycle.
Data Source
AI summary
A system continuously monitors, by at least one inspector, an inspection work queue for a class of inspection operation request, detects, by the at least one inspector, the class of inspection operation request in the inspection work queue, removes, by the at least one inspector, the class of inspection operation request from the inspection work queue, determines, by the at least one inspector, one of a class of inspection tool and a specific level of inspection to perform for the class of inspection operation request that references a data object, and executes, by the at least one inspector, the one of the class of inspection tool and the specific level of inspection for the class of inspection operation request that references the data object at one of a certain time and a certain event during a data lifecycle of the data object.