Cyber Security in the Healthcare Industry

WannaCry, NotPetya, and TRITON demonstrate that ICS and IIoT networks continue to be soft targets for cyberattacks, increasing the risk of costly downtime, safety failures, environmental incidents, and theft of sensitive intellectual property. NIST and the NCCoE recently published a NIST Interagency Report (NISTIR) demonstrating how off-the-shelf, ICS-aware behavioral anomaly detection (BAD) effectively reduces cyber risk for manufacturing organizations, without impacting OT networks, as well as risk from equipment malfunctions.

More and more enterprises have moved their infrastructure and operations to the cloud than ever before. Along with these changes, we have also seen a significant change in enterprise security posture and use of technology. However, what does that change look like? How have security teams kept up with the change? Just what is the state of cloud security in the enterprise?

Once a vulnerability becomes known to cybercriminals, the race is on for vendors to create a patch before it is exploited. And with the regular use of exploits in attacks and threats like the WannaCry ransomware using a vulnerability, getting the win has never been so crucial. This month we will cover the bug bounty marketplace, including the different types of markets available to vulnerability researchers. As well, we will review Trend Micro Research and how their research can benefit organizations through responsible disclosure and pre-disclosed filters to virtually patch vulnerabilities.

AI and machine learning have proven to be valuable technologies when it comes to detecting threats at time zero and across various vectors. But there is a time and place for its usage. Join me during my monthly threat webinar and live Q&A session to learn: How you can help improve your ability to detect zero-hour threats by implementing AI/machine learning techniques. Areas in which Trend Micro has been using these AI/machine learning techniques. Why the best threat detection comes from a cross-generational blend of technologies.