He notes that insurance companies are increasingly leveraging advanced data analytics and machine learning algorithms to process threat intelligence data from a variety of sources.
This approach allows you to develop more accurate risk models and identify effective controls in real time.
According to Chris, cyber insurers will ultimately focus on technology solutions for identity verification and authentication.
“Unfortunately, healthcare has traditionally been a very complex system to secure and is actively exploited by threat actors. This creates a cat-and-mouse game for both healthcare organizations and cyber insurers. I will.”
AI and Blockchain in Medical Cybersecurity
As technological innovations to prevent cyber-attacks continue to advance, so too does the adoption of AI, which presents both opportunities and challenges from a cybersecurity perspective in the healthcare sector.
Blockchain technology is also increasingly being adopted to enhance healthcare cybersecurity.
Blockchain technology is being integrated with AI systems to create an immutable audit trail and strengthen data integrity in healthcare.
These technologies can help prevent data breaches like the Star Health incident by providing real-time threat detection, secure data storage, and enhanced authentication mechanisms.
AI can analyze network behavior and detect anomalies, and blockchain can ensure the integrity and traceability of medical records, making unauthorized access and tampering more difficult.
“We urge all platforms, hosting companies, social media channels, and users to take swift and decisive action to stop such activity,” Starr said.
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