As clinical data and records are vulnerable, health care organizations are going through major security concerns. The records of the patients are valued by hackers because it is historical in nature as personal, financial or geographical data of the patients allure hackers.
Health care industry is facing cyber security challenges every day. Artificial intelligence (AI) enables health care organizations and physicians to protect their patients’ personal data. As healthcare is dealing with huge amount of data every day, manpower cannot handle it but AI.
Following are some of the ways AI can combat healthcare data security:
Identifying malware threats: As malware never rests it is difficult for healthcare organizations to prevent breaches despite their best efforts. If data breaches affect in patient-records, severe health consequences will be the result. Organizations need to enable themselves in detecting the breaches and recover quickly. AI and machine learning are capable at identifying new and various types of malware. Apps (application) driven by AI identify malware threats using predictive algorithms. Healthcare industries should invest in the AI technology in order to secure healthcare data and minimize cyber attacks.
Identifying and responding breaches: AI technology is capable in monitoring behavior of the anomalies in a network by flagging them. And AI does it automatically and continuously. If a breach occurs, AI identifies and isolates the threats faster. Once AI detects any threats, either it forwards the case to certain human oversight or takes autonomous action to reduce the breach.
Protecting medical devices from attack: Smart medical devices act as life saver but if left unprotected it may damage the patient on a serious note. Cyber attackers are able to target patients by hospital systems using smart devices. AI helps to secure these smart healthcare devices by encrypting and monitoring data of the devices.
Extending human resources and addressing security shortages: Shortage of qualified IT-security professionals leads healthcare managers to postpone or shrink projects. And hiring expensive IT professionals is not always an option for the SMEs (small and medium enterprises). AI solutions help to ease the over-pressure of IT security staffing gaps and extend the capability of existing security teams.
Machines are better than humans at some tasks as in analyzing large volume of data and secure data by spotting patterns. Deployment of AI and machine learning in the healthcare security will result beneficially. Healthcare providers are now able to detect and combat cyber attacks with the help of AI solutions without relying on high-cost efforts.