Stateful Authentication Tracking for Zero-Trust Forgery Detection
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Solution Overview
Problem
Current implementations of the zero trust network paradigm lack stateful, deterministic means for detecting authentication forgeries and fail to assess the proportion of network traffic and entities that pose a threat, leading to inadequate security in cloud-based networks.
Innovation Solution
A system and method for dynamic authentication attack detection and enforcement at the network, application, and host level, utilizing stateful authentication object tracking, forgery detection, and heuristic analytics to maintain active credential databases and assess authentication-specific vulnerabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If perimeter-based network security is implemented, then network protection is provided for users and devices located at physical locations, but security becomes inadequate for cloud-based networks spanning multiple geographic regions
Solution Approach 1:
The patent inverts the traditional perimeter-based security model by implementing zero trust architecture where no user or device is trusted by default, regardless of location. Instead of protecting the perimeter, the system verifies every authentication request individually, turning the security approach from 'trust inside, block outside' to 'verify everything, trust nothing'.
Solution Approach 2:
The system dynamically adjusts security verification based on real-time authentication object state. Authentication objects are continuously tracked and validated against current network security policies, allowing the system to adapt security measures dynamically rather than relying on static perimeter definitions.
2Reliability
If zero trust network paradigm is implemented, then verification of all authentication processes is improved, but detection of authentication forgeries lacks stateful and deterministic means
Solution Approach 1:
The system performs preliminary actions by maintaining a stateful database of all issued authentication objects before verification occurs. When an authentication request is received, the system checks against this pre-established record of valid authentication objects, enabling deterministic forgery detection by comparing the request against known-good authentication state.
Solution Approach 2:
The system implements feedback loops where authentication object issuers report issued objects to a centralized tracking system, which then provides verification feedback to authentication challengers. This closed-loop feedback mechanism enables continuous verification and deterministic detection of authentication forgeries by comparing against the authoritative state record.
3Ease of operation
If authentication objects are tracked without centralized storage, then protocol simplicity is maintained, but security vulnerabilities increase due to lack of stateful verification
Solution Approach 1:
The patent introduces an intermediary component - a centralized authentication object database and verification service - that mediates between authentication object issuers and challengers. This intermediary maintains the authoritative state of all issued authentication objects and provides verification services, enabling stateful security without requiring complex changes to the underlying authentication protocols.
4Measurement precision
If comprehensive authentication monitoring is implemented, then threat detection capability is improved, but network performance and processing overhead increase
Solution Approach 1:
The system applies partial monitoring by focusing verification efforts on authentication objects and requests rather than monitoring all network traffic comprehensively. By concentrating security verification on authentication-specific data streams and using stateful tracking to identify only relevant verification needs, the system achieves effective threat detection without the performance overhead of comprehensive network monitoring.
Data Source
AI summary
A system and method for dynamic authentication attack detection an enforcement at the network, application, and host level that enables 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 risk observations, and intervening in authentication processes when the potential risk is too great.


