Imposter Security Client and Service for Endpoint Protection
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Solution Overview
Problem
Existing identity and access management (IAM) systems fail to effectively protect endpoints and remote servers from unauthorized users, as they often allow imposters to access systems without detection, leading to potential data breaches and security risks.
Innovation Solution
The implementation of an Imposter Security Client (ISC) and a subscription-based Imposter Security Service (ISS) within the IAM system, which automatically exchanges information to protect endpoints from unauthorized users by using predefined policies and AI/ML models to detect and respond to malicious activities, thereby securing connected computing environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional IAM systems are used, then user access management is maintained, but endpoints and remote servers are vulnerable to unauthorized access by imposters
Solution Approach 1:
The system segments security functionality into two parts: an Imposter Security Client (ISC) deployed on individual endpoints to perform local monitoring and detection, and a centralized Imposter Security Service (ISS) that coordinates responses. This segmentation allows distributed security monitoring without requiring complete system redesign, thereby improving reliability while managing complexity.
Solution Approach 2:
The Imposter Security Client acts as an intermediary between the endpoint and the centralized IAM system, providing local intelligence for imposter detection. This intermediary layer enables endpoints to respond to security threats autonomously while still integrating with the broader IAM infrastructure, enhancing security protection without proportionally increasing overall system complexity.
2Reliability
If imposter detection and response mechanisms are implemented, then unauthorized access is prevented, but system performance and user experience may be degraded
Solution Approach 1:
The Imposter Security Client monitors only specific security-relevant activities and behaviors rather than all system operations. By focusing detection efforts on partial aspects of system activity that are most indicative of imposter behavior, the system achieves effective security protection while minimizing the performance overhead associated with comprehensive monitoring.
Solution Approach 2:
The system enables endpoints to autonomously detect and respond to imposter activities using local intelligence and pre-configured policies. This self-service capability allows security responses to be executed without constant centralized coordination, reducing latency and maintaining system performance while preventing unauthorized access.
3Reliability
If covert monitoring of user activities is performed, then imposter activities are detected, but user privacy and system transparency are compromised
Solution Approach 1:
The monitoring system applies different levels of observation and analysis to different types of user activities based on their security relevance. Sensitive personal activities receive minimal monitoring, while security-critical behaviors are scrutinized more closely. This local quality approach maintains detection accuracy for imposter identification while reducing privacy intrusion in unrelated areas.
Data Source
AI summary
A processor may install an imposter security client (ISC) at an endpoint. The processor may install a subscription based imposter security service (ISS). The ISS may be part of an identity and access management (IAM) system. The processor may exchange information between the ISC and the ISS. The exchange may be automatically triggered when the ISS receives an imposter identification (ID) from the IAM system. The imposter ID may be associated with an unauthorized endpoint user. The processor may protect the endpoint from the unauthorized endpoint user.