Authentication Object Tracking for Zero Trust Forgery Detection
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Solution Overview
Problem
Current zero trust network security implementations lack stateful, deterministic means for detecting authentication forgeries and fail to assess the proportion of network traffic and users that pose threats, leading to inadequate security in cloud-based networks.
Innovation Solution
A system and method for zero trust network security that includes stateful authentication object tracking, forgery detection, and authentication scoring, using a centralized database to analyze and score authentication objects, issuing warnings when toxicity exceeds a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If perimeter-based network security is used, then network protection is provided through firewalls and intrusion-prevention systems, but security is inadequate in cloud-based networks spanning multiple geographic regions
Solution Approach 1:
The patent segments the network security approach by dividing authentication verification into multiple discrete steps (authentication object issuance, tracking, and validation) rather than relying on a single perimeter-based security layer. This enables security to be applied at each authentication step across distributed cloud environments.
Solution Approach 2:
The patent transitions from two-dimensional perimeter-based security to multi-dimensional zero trust security by adding temporal dimension (tracking authentication objects over time) and spatial dimension (validating across multiple geographic regions and cloud environments), enabling comprehensive security in distributed networks.
2Reliability
If current zero trust implementations are used, then network security is enhanced, but deterministic detection of authentication forgeries is not achieved
Solution Approach 1:
The patent applies preliminary action by establishing a centralized database to track authentication objects before they are potentially forged or misused. By recording authentication objects at issuance and maintaining their state throughout their lifecycle, the system enables deterministic detection of forgeries through state validation.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring authentication object state and comparing it against expected states in the centralized database. This feedback loop enables real-time detection of authentication forgeries and provides precise measurement of authentication validity.
3Productivity
If authentication objects are tracked without centralized storage, then network performance is maintained, but stateful deterministic authentication object tracking is not achieved
Solution Approach 1:
The patent introduces a centralized authentication object database as an intermediary between authentication object issuance and verification. This mediator enables stateful tracking across the network while maintaining performance through efficient data structures and query optimization, resolving the contradiction between centralized verification and network performance.
4Device complexity
If proportion assessment of threats is not implemented, then network monitoring is simplified, but understanding of network security threats is insufficient
Solution Approach 1:
The patent enables the authentication object database to self-service by automatically tracking and assessing the proportion of different authentication object types and their associated threats. This automated assessment provides comprehensive threat intelligence without requiring complex manual monitoring systems.
Data Source
AI summary
A system and method for scoring and enforcing authentication standards that actually enable zero trust network security principles when combined with stateful authentication object tracking, authentication object manipulation and forgery detection, and assessment of authentication and identity attack surface. The methodology involves gathering all authentication objects issued by a network, storing the authentication objects in a centralized location for use in stateful deterministic authentication object tracking, scoring the completeness of the authentication observations, assessing the quality of the authentication observations, and assigning organization-specific penalty functions.


