Cyber Recovery Vault Airgap 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 automated airgap control and heightened security levels (HSL) to detect and respond to ransomware threats, isolating data from the attack surface, and initiating immediate protective measures to secure production and backup 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 patent extracts the analysis function from the complex recovery process by implementing a dedicated data analysis routine that proactively identifies corruption before recovery is needed. This separate analysis component examines backup data integrity independently, allowing the system to detect issues without triggering complex recovery procedures.
Solution Approach 2:
The patent applies preliminary action by performing data analysis and corruption detection before recovery operations are required. The system proactively scans backup data in the cyber recovery vault for corruption signs, enabling early identification of issues and preventing the need for complex recovery procedures later.
2Reliability
If complex recovery procedures are implemented from cyber recovery vault, then data security is improved, but recovery time increases
Solution Approach 1:
The system performs preliminary data analysis and corruption detection before recovery is needed, maintaining security through the cyber recovery vault while identifying issues early. This allows the system to prepare recovery actions in advance, reducing the actual recovery time when corruption is detected.
Solution Approach 2:
The patent implements feedback mechanisms where the data analysis routine continuously monitors backup data integrity and provides information about corruption detection. This feedback loop enables the system to adjust recovery procedures based on real-time analysis results, optimizing both security and recovery speed.
3Reliability
If proactive security measures are implemented to detect ransomware, then protection effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent extracts the detection function into a separate data analysis routine that operates independently from the main backup and recovery systems. This dedicated analysis component focuses specifically on identifying ransomware and corruption, improving protection effectiveness without significantly increasing overall system complexity.
Data Source
AI summary
Providing enhanced malware detection and protection using a cyber recovery vault that is configured to store data backed up for a production site for long-term retention and disaster recovery. The vault is coupled to the data center comprising a production site 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.