Halting Ransomware in Healthcare

This case study focuses on the application of deep learning to achieve ultra-fast, pre-execution threat prevention, which is critical in...

Halting Ransomware in Healthcare

Halting Ransomware in Healthcare

Industry: Healthcare

The Challenge: Hospitals are prime targets for ransomware attacks, where encrypting critical patient records can directly impact patient care and safety. Traditional security solutions, which often allow files to execute before determining they are malicious, were too slow to prevent encryption and widespread system downtime.

The AI-Powered Solution: Deep Instinct utilizes a deep learning framework that operates with precision at the endpoint. Its model analyzes files pre-execution but with the accuracy of a deep neural network, resulting in an extremely low false-positive rate and the ability to identify never-before-seen ransomware with high confidence.

The Outcome: Healthcare providers that implemented this solution reported successfully preventing ransomware executions that would have encrypted vital systems. This resulted in zero downtime from ransomware attacks, ensuring continuous access to patient records and critical care systems.

Technosurge Insight: In critical environments where downtime is not an option, prevention is the only acceptable outcome. Technosurge designs high-assurance AI systems for sectors like healthcare, finance, and utilities, where security directly impacts operational integrity and human safety.

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