Cyber Recovery Vault Air-Gap Control for Ransomware Isolation
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Solution Overview
Problem
Existing data protection systems are ineffective in proactively preventing ransomware attacks, leading to complex and time-consuming recovery processes that disrupt business operations.
Innovation Solution
Implementing a cyber recovery vault with an automated air gap and heightened security levels (HSL) to isolate and analyze backup data, detect malware, and initiate protective measures to secure production and DR protection storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is backed up to production protection storage and replicated to DR protection storage, then data redundancy is improved, but recovery complexity increases when corruption is detected
Solution Approach 1:
The system segments the backup architecture into multiple independent storage locations (production protection storage, DR protection storage, and cyber recovery vault). Each location serves a specific purpose and can be independently managed, allowing recovery operations to target specific segments rather than requiring complex coordination across the entire backup infrastructure.
Solution Approach 2:
The cyber recovery vault acts as an intermediary storage location between production and DR environments. When corruption is detected, the vault serves as a pre-prepared recovery source that can be quickly activated without requiring complex recovery procedures across multiple storage systems.
2Reliability
If complex recovery methods are used from cyber recovery vault, then data recovery capability is improved, but recovery time increases
Solution Approach 1:
The system performs preliminary actions by continuously maintaining ready-to-use recovery copies in the cyber recovery vault. Recovery media are pre-configured and validated before attacks occur, so when corruption is detected, the system can immediately activate pre-prepared recovery procedures rather than computing recovery steps in real-time.
Solution Approach 2:
The recovery system is designed to automatically detect corruption and initiate recovery from the cyber recovery vault without requiring complex manual intervention. The system self-manages the recovery process by comparing file fingerprints, identifying corrupted files, and restoring them from the vault's protected copies.
3Speed
If automated air gap control and fingerprint mapping are implemented, then malware detection speed is improved, but system complexity increases
Solution Approach 1:
The system replaces manual malware detection and analysis processes with automated computational methods. Fingerprint mapping algorithms automatically compare file hashes between production and vault storage, while automated air gap control systems manage isolation protocols without requiring manual security operations. This substitution of mechanical/manual processes with automated systems enables rapid detection despite increased computational complexity.
Data Source
AI summary
Providing malware detection and protection using a cyber recovery vault that is configured to store data backed up for a production site for disaster recovery. The vault is coupled to the data center through an automated air gap controlled by the vault. Control signals transmitted by the vault trigger the air gap to close the coupling between the vault and data center upon detection of a malware attack, and the data center is configured to listen for the control signals and implement heightened security measures to protect its data in response to the control signal. Specific good/bad file information is provided by the vault to help isolate a source of the malware. File extent information is used to generate fingerprints of a bad file and comparison to a file copy is used to derive an intersection set that reduces a number of fingerprints to process.