News
Cobalt Iron Secures Patent for Cyber Event Analytics and Automated Security Optimizations
January 2025 by Valentin Jangwa, Global Security Mag
Cobalt Iron Inc. announced that it has been granted a U.S. patent for its technology for cyber event analytics and automated security optimizations. U.S. Patent Office patent No. 12088612, issued on Sept. 10, 2024, outlines machine learning techniques that improve and optimize cyber inspection and protection operations initiated by various security conditions and events. The company will implement these techniques in its enterprise SaaS backup platform, Compass®.
The threat of data loss due to cyber attacks continues to grow, with organizations struggling to ensure the accessibility and integrity of their data at all times. There is a pressing need for assistance in proactively detecting and responding to suspicious cyber threat activities, as well as gaining insights on the effectiveness of cyber protection, detection, and inspection operations.
The techniques outlined in this patent will primarily benefit CIOs, security officers, and other data custodians who are responsible for securing businesses against cyber attacks and maintaining the integrity of corporate data. By analyzing cyber inspection tools and data protection operations to determine which ones are the most appropriate and effective for given data or cyber threats, these techniques enable businesses to proactively and automatically adjust their use of these tools and operations to validate corporate data. As a result, organizations can experience lowered risk of undetected cyber security events, improved data protection responses to cyber attacks, and self-optimizing data validation operations.
This patent discloses techniques that, when fully implemented, will enable Compass to:
Store machine learning training data associated with cyber attack events, inspection class policies, and data protection operational results
Monitor for security conditions or events
Determine and execute optimal inspection policies based on particular cyber events
Execute a specific inspection and inspection level on particular data objects as specified by the optimal inspection policy
Perform cyber attack forensics and historical analysis of data protection operations, then adjust future data inspection or data protection operations to perform in the event of a new cyber attack event
Dynamically adjust cyber inspection operations based on attack indications
Restrict access control to data objects similar to those attacked
What qualifies this technology for a patent is its novel approach to historical analysis of cyber events and the results of data inspection and data protection operations performed, as well as the automated adjustment of these operations for particular data objects in the event of specific cyber attacks. For example, Compass could analyze cyber attack patterns and results of previous data protection operations to determine more effective responses for new cyber events. Additionally, it could leverage machine learning training data to dynamically adjust the cyber inspection tools used for particular types of data in future operations. This patent also introduces automated adjustment capabilities, which will allow businesses to optimize their cyber inspection and data protection operations, thus improving cyber event detection and data validation processes.
This patent extends Cobalt Iron’s technology leadership in automated cyber security event analytics and responsiveness, as well as self-optimized data protection. It is related to and builds upon U.S. patent #11765187, granted on Sept. 19, 2023, further optimizing the selection of cyber inspection tools and inspection levels for various cyber events.
