Abstract :
Critical Care IT systems such as life support devices, vitals monitoring systems, information systems that provide point of care guidance to care teams are a key component of a lifesaving effort in Healthcare. The mega trends of mobility, social, cloud combined with wide spread increase and sophistication of malware, has created new challenges and the point in time detection methods at the hospitals are no longer effective and pose a big threat to the critical care systems. To maintain the availability and integrity of these critical care systems, new adaptive, learning security defense systems are required that not only learns from the traffic entering the hospital, but also proactively learns from the traffic worldwide. Cisco´s Cloud web security (CWS) provides industry-leading security and control for the distributed enterprise by protecting users everywhere, anytime through Cisco worldwide threat intelligence, advanced threat defense capabilities, and roaming user protection. It leverages the big data to perform behavioral analysis, anomaly detection, evasion resistance, rapid Detection services using flow based, signature based, behavior based and full packet capture models to identify threats. This tech talk looks at how big Data Analytics is used in combination with other security capabilities to proactively identify threats and prevent wide spread damage to healthcare critical assets.
Keywords :
Big Data; cloud computing; data analysis; data protection; health care; hospitals; medical information systems; security of data; Cisco CWS; Cisco Cloud Web security; Cisco worldwide threat intelligence; advanced threat defense capabilities; anomaly detection; behavioral analysis; big data analytics; care guidance; care teams; critical care IT systems; critical health care systems; dynamic protection; evasion resistance; healthcare critical assets; information systems; life support devices; lifesaving effort; monitoring systems; rapid detection services; roaming user protection; Big data; Industries; Malware; Medical services; Monitoring; Behavior Analysis; Big Data Analytics; Cloud; Cloud Web Security; Critical Care; Healthcare; Machine Learning; Malware; Security;