Zero-Trust Data Vault Architecture for Active Intrusion Response
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Solution Overview
Problem
Conventional storage systems lack end-to-end data-centric security, particularly against ransomware, insider threats, and quantum computing attacks, with security measures often added as an afterthought and not integrated into the system design, leading to vulnerabilities during data lifecycle phases.
Innovation Solution
A 'castle-like' data architecture with real-time intrusion detection and active response capabilities, utilizing multi-vectored, multi-layered security services that include secure vaults, exclusive-path forwarding, and information-theoretic security to protect data at-rest and in-motion, leveraging AI-driven operations and secure network isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security measures are added as an afterthought to conventional storage systems, then traditional security features (encryption, authentication) can be implemented, but the system lacks end-to-end data-centric security and integrated protection across the data lifecycle
Solution Approach 1:
The patent segments security protection into distinct phases: data at-rest security through secure vaults, data in-motion security through exclusive-path forwarding, and data under-operation security through real-time intrusion detection. This segmentation allows comprehensive end-to-end protection while maintaining manageable system architecture through modular security services.
Solution Approach 2:
The patent implements a universal security controller that provides multi-functional security services across all data lifecycle phases. The controller integrates intrusion detection, secure forwarding, vault management, and active response capabilities into a single system that protects data regardless of its state or location, achieving end-to-end security without requiring separate specialized systems.
2Object-affected harmful factors
If traditional perimeter security measures are used, then external attacks can be blocked, but the system remains vulnerable to ransomware, insider threats, and quantum computing attacks
Solution Approach 1:
The patent implements preliminary anti-action through information-theoretic security measures that prevent attacks before they can succeed. Secure vaults use cryptographic techniques that make data recovery impossible without authorized keys, exclusive-path forwarding pre-establishes secure routes that prevent interception, and real-time intrusion detection identifies and responds to threats before they can compromise data. This proactive approach addresses multiple attack vectors including ransomware and quantum threats.
Solution Approach 2:
The patent transitions from traditional network-perimeter security to a multi-dimensional security model that operates across different data states (at-rest, in-motion, under-operation) and multiple security layers (cryptographic, network, detection, response). This dimensional expansion provides comprehensive coverage against diverse threats including insider threats and quantum computing attacks that cannot be blocked by perimeter defenses alone.
3Reliability
If data is stored in conventional storage systems, then data accessibility and performance are maintained, but the system lacks protection against wire-tapping and crypto attacks
Solution Approach 1:
The patent introduces secure vaults as intermediary storage components that mediate between conventional storage systems and data protection requirements. The vaults implement information-theoretic security and cryptographic protection while maintaining data accessibility through controlled access mechanisms. This intermediary layer provides enhanced protection against wire-tapping and crypto attacks without fundamentally altering the underlying storage architecture or performance characteristics.
Solution Approach 2:
The patent implements disposable security measures through ephemeral secure vaults and temporary exclusive-path forwarding routes that are created and destroyed as needed. These short-lived security constructs provide strong protection for specific data operations without requiring permanent complex security infrastructure, reducing overall system complexity while maintaining high security standards for data in-motion and under-operation.
4Reliability
If real-time intrusion detection and active response are implemented, then security monitoring and protection capabilities are enhanced, but system complexity and resource requirements increase
Solution Approach 1:
The patent merges intrusion detection, intrusion response, and security control functions into a unified security operation system managed by a universal security controller. This consolidation integrates multiple security capabilities into a single coordinated system that reduces operational complexity compared to separate independent security systems while maintaining comprehensive real-time monitoring and active response capabilities across all data lifecycle phases.
Data Source
AI summary
The present disclosure relates to attack-tolerant storage system architecture with active response methods against different forms of storage intrusion for data at-rest, under-operation and in-motion as an integrated system design. System is built upon a Storage security controller (SG nodes), USC, overlay network of DTC nodes attached to SG nodes. System security modules are deployed across various geo locations in a Wide Area Network. USC extracts system, security and storage activity telemetry data from Secure Vaults, Storage Gateways and inter-site data transfer systems to orchestrate autonomous security Operations. SG nodes create SP fragments and store in SV nodes or move it across DTC nodes upon data operations. SG nodes are connected to SV nodes which are micro-segmented, data vaults with restricted network reachability. Kill-Data-Service methods and other Active Response security methods are triggered from SG nodes or at DTC nodes, as part of AR operations, orchestrated by USC.