Palo Alto Networks launches IoT security solution

Cybersecurity firm Palo Alto Networks has launched a new Internet of Things (IoT) security solution specifically for the healthcare sector. IoT Security intends to simplify the challenge of securing the Internet of Medical Things (IoMT) through machine learning, prevention and enforcement, while also offering insights on healthcare-specific devices and vulnerabilities. 

IoT presents cybersecurity risks in healthcare. According to a recent report from Unit 42, 83% of medical imaging devices are running on unsupported operating systems, which makes them vulnerable to attacks. Attacks like these can disrupt patient care, and allow attackers to steal patient data. 

IoT Security uses machine learning and telemetry to profile all the devices on a network. It also offers recommendations to reduce manual effort; intrusion prevention to block exploits; sandboxing to detect and prevent IoT malware; and URL and DNS security to stop IoT attacks via the web. Other features include: 

• MDS2 Document Ingestion: The Manufacturer Disclosure Statement for Medical Device Security documents allow medical device manufacturers to disclose the security-related features of their devices, allowing for deeper vulnerability analysis, tuned anomaly detection and specific recommended policies.
• Operational Insights: These give biomedical and clinical engineering teams visibility into how, when and where medical devices on their network are being used
• Expanded IoMT Discovery: This enables expanded discovery and security for unique IoMT devices and healthcare applications.

“The Internet of Medical Things has the potential to improve healthcare, save lives, and bring massive savings” said Anand Oswal, senior vice president and general manager, Firewall as a Platform, Palo Alto Networks. “But if not properly secured, these same devices can pose huge risks. 

“Our vision is to give healthcare organizations complete visibility, in-depth risk analysis, and built-in prevention so they can get the maximum benefits from this transformative technology while reducing risks to patients and their data.”