Threat Protection Engine for Adaptive Security Configuration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional security management systems lack comprehensive computing logic and infrastructure to effectively balance security measures and productivity requirements, leading to inefficiencies and disruptions when implementing security resolutions.
Innovation Solution
A threat protection engine that generates a security configuration anticipated impact analysis model based on historical telemetry data to autonomously configure entities, balancing security and productivity by assessing potential effects of security resolutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If robust security measures are implemented to protect against cyberattacks and data breaches, then security posture is improved, but productivity is reduced due to additional authentication steps and workflow restrictions
Solution Approach 1:
The security management system dynamically adjusts security configurations based on real-time threat assessments and contextual factors. The system transitions from static, one-size-fits-all security policies to adaptive, context-aware security measures that automatically modify authentication requirements and control restrictions based on the current security posture and user behavior patterns, thereby maintaining robust security while minimizing productivity impact.
Solution Approach 2:
The system applies differentiated security measures to different entities, users, and contexts rather than uniformly across the entire computing environment. By analyzing historical telemetry data and identifying specific security exposures, the system tailors security configurations to individual risk profiles, applying stricter controls only where necessary and allowing more flexible access where risk is low, thus balancing security requirements with productivity needs.
2Reliability
If security resolutions are implemented to remediate security exposures, then security risks are mitigated, but disruptions to computing operations occur
Solution Approach 1:
The system performs preliminary impact analysis before implementing security resolutions by evaluating historical telemetry data and predicting the potential effects of proposed security configurations. This advance assessment allows the system to plan remediation actions that minimize operational disruption, schedule updates during low-activity periods, and prepare fallback configurations to quickly revert if issues arise, thereby reducing downtime and maintaining business continuity.
Solution Approach 2:
The system continuously monitors computing operations after implementing security resolutions and uses feedback from operational performance data to adjust and optimize security configurations. By establishing continuous monitoring and feedback loops, the system can detect and respond to any disruptions caused by security measures, automatically adjusting configurations to maintain both security effectiveness and operational smoothness, thereby minimizing long-term operational disruption.
Data Source
Figure 1A
Figure 1B
Figure 2A
AI summary
Methods, systems, and computer storage media for providing security configuration management using a threat protection engine in a security management system. Security configuration management generally refers to creating, implementing, and maintaining a secure configuration for a computing environment. The threat protection engine provides security configuration management using a security configuration anticipated impact analysis model that is generated based on historical telemetry data. The security configuration anticipated impact analysis model supports generating a security configuration anticipated impact analysis that is a targeted assessment that evaluates implementing a security resolution for a security exposure. Based on the security configuration anticipated impact analysis, security configurations of entities (e.g., hardware, software, and network) are autonomously configured to balance security measures and productivity requirements. A securityproductivity configuration can be defined with a set of parameters for a specified computing environment to customize the balance between the security measures and productivity requirements of the computing environment.