Cobalt Iron Receives Patent for Machine Learning-Driven Cyber Inspection: Improving Cyber Event Detection & Data Validation


Cobalt Iron, a leading enterprise software-as-a-service (SaaS) backup platform provider, has been granted a new patent for machine learning-driven cyber inspection. This innovative technology is set to revolutionize the way businesses detect cyber events and validate data, enhancing their overall cybersecurity posture.

With the frequency and sophistication of cyber attacks on the rise, it has become imperative for organizations to bolster their defenses and gain deeper insights into the effectiveness of their cybersecurity strategies. Unfortunately, the industry lacks robust analytics around cyber protection, detection, and inspection operations.

To address these concerns, Cobalt Iron’s newly patented technology introduces several unique characteristics. Firstly, it leverages historical analysis of the usage of multiple cyber inspection tools to measure their effectiveness in detecting different types of cyber events across various data types. This allows businesses to determine which inspection tools are most suitable and effective for specific cyber threats or data.

Furthermore, the technology applies machine learning techniques to optimize cyber inspection operations. By analyzing machine learning training data associated with different types of cyber attacks, inspection class policies, data protection operations, and operational forensics data, the system can automatically adjust inspection levels and the timing of cyber inspection operations. This ensures that organizations can proactively respond to emerging cyber attack indications, mitigating risks and minimizing the impact of future attacks.

The patented technology also facilitates dynamic adjustment of the class of inspection tool and inspection levels based on the specific point in a data’s lifecycle or the type of cyber event. This flexibility empowers businesses to adapt their cybersecurity measures to evolving threats, ensuring comprehensive protection at all times.

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Furthermore, the technology enables cyber attack forensics and historical analysis to uncover valuable insights into attack patterns, timings, sources, and their consequences. This information can be utilized to enhance data validation operations, restrict access control to vulnerable data objects, and improve overall cyber resiliency.

Cobalt Iron’s machine learning-driven cyber inspection is a significant step forward in the realm of cybersecurity. By providing businesses with advanced analytics and automation capabilities, this technology will enhance cyber event detection, data validation processes, and ultimately, the overall security posture of organizations.

In a rapidly evolving threat landscape, it is crucial for businesses to stay ahead of cyber attackers and continuously refine their cybersecurity strategies. Cobalt Iron’s innovative technology has the potential to redefine the industry’s approach to cyber inspection and empower organizations to tackle emerging threats with confidence. With this new patent, Cobalt Iron reinforces its position as a leading provider of cutting-edge cybersecurity solutions.

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